技术领域technical field
本发明涉及移动通信技术领域，特别是涉及一种基于特征识别找回WIFI密码的方法和移动终端。The invention relates to the technical field of mobile communication, in particular to a method for retrieving a WIFI password based on feature recognition and a mobile terminal.
背景技术Background technique
随着互联网技术的不断发展，人们越来越依赖于互联网进行信息查询、人际交往、工作、娱乐等，几乎所有公共和私人生活空间都覆盖了WIFI(Wireless Fidelity)网络。为了保障网络信息安全，以及防止网络流量盗取，大多数用户都会为私人空间的wifi网路设置加入密码。目前，wifi网路的加入密码是一串字符串。为了增强密码的安全性，字符串通常包括多种字符的混合排列，难于记忆，容易被遗忘。若用户忘记了WIFI加入密码，则需要重置路由器，重新设置密码，操作复杂。With the continuous development of Internet technology, people rely more and more on the Internet for information inquiry, interpersonal communication, work, entertainment, etc. Almost all public and private living spaces are covered by WIFI (Wireless Fidelity) network. In order to ensure network information security and prevent network traffic theft, most users will add a password to the wifi network settings in the private space. Currently, the password to join a wifi network is a string of strings. In order to enhance the security of the password, the character string usually includes a mixed arrangement of various characters, which is difficult to remember and easily forgotten. If the user forgets the WIFI access password, he needs to reset the router and reset the password, which is a complicated operation.
现有技术中需要一种当用户忘记WIFI密码时，能够快捷、且安全的找回WIFI密码的方法。In the prior art, there is a need for a method for quickly and safely retrieving the WIFI password when the user forgets the WIFI password.
发明内容Contents of the invention
本发明提供一种基于特征识别找回WIFI密码的方法和移动终端，解决现有技术中用户忘记WIFI密码时，只能重新设置路由器，重新设置密码导致的操作复杂的问题。The invention provides a method and a mobile terminal for retrieving the WIFI password based on feature recognition, which solves the problem in the prior art that when the user forgets the WIFI password, he has to reset the router and the complicated operation caused by resetting the password.
第一方面，本发明实施例提供了一种基于特征识别找回WIFI密码的方法，应用于移动终端，包括：In the first aspect, the embodiment of the present invention provides a method for retrieving a WIFI password based on feature recognition, which is applied to a mobile terminal, including:
当所述移动终端处于WIFI连接状态时，获取用户找回WIFI密码的请求；When the mobile terminal is in the WIFI connection state, obtain the user's request to retrieve the WIFI password;
根据所述用户找回WIFI密码的请求，采集待识别特征；According to the request of the user to retrieve the WIFI password, collect the features to be identified;
基于预设的特征库，对所述待识别特征进行匹配识别；Matching and identifying the features to be identified based on a preset feature library;
若匹配成功，则显示所述移动终端连接的WIFI的预置WIFI密码。If the matching is successful, the preset WIFI password of the WIFI connected to the mobile terminal is displayed.
第二方面，本发明实施例还提供了一种移动终端，包括In the second aspect, the embodiment of the present invention also provides a mobile terminal, including
请求获取模块，用于当移动终端处于WIFI连接状态时，获取用户找回WIFI密码的请求；The request acquisition module is used to obtain the user's request to retrieve the WIFI password when the mobile terminal is in the WIFI connection state;
特征采集模块，用于根据所述用户找回WIFI密码的请求，采集待识别特征；A feature collection module, configured to collect features to be identified according to the user's request for retrieving the WIFI password;
特征匹配模块，用于基于预设特征库对所述特征采集模块采集的待识别特征进行匹配识别；A feature matching module, configured to match and identify the features to be identified collected by the feature collection module based on a preset feature library;
密码显示模块，用于若匹配成功，则显示所述移动终端连接的WIFI的预置WIFI密码。The password display module is used to display the preset WIFI password of the WIFI connected to the mobile terminal if the matching is successful.
本发明实施例公开的基于特征识别找回WIFI密码的方法，通过当所述移动终端处于WIFI连接状态时，获取用户找回WIFI密码的请求；根据所述用户找回WIFI密码的请求，采集待识别特征；然后基于预设的特征库，对所述待识别特征进行匹配识别；若匹配成功，则显示所述移动终端连接的WIFI的预置WIFI密码，解决了现有技术中用户忘记WIFI密码时，只能重新设置路由器，重新设置密码导致的操作复杂的问题。通过采用特征识别找回WIFI密码，不仅安全性高，且不需要记忆，操作方便。The method for retrieving the WIFI password based on feature recognition disclosed in the embodiment of the present invention obtains the user's request for retrieving the WIFI password when the mobile terminal is in the WIFI connection state; according to the user's request for retrieving the WIFI password, collect the pending Identification feature; Then, based on the preset feature library, the feature to be identified is matched and identified; if the match is successful, the preset WIFI password of the WIFI connected to the mobile terminal is displayed, which solves the problem that the user forgets the WIFI password in the prior art At this time, you can only reset the router, and reset the password to cause complicated operations. Retrieving the WIFI password by using feature recognition is not only highly secure, but also requires no memory and is easy to operate.
附图说明Description of drawings
为了更清楚地说明本发明实施例的技术方案，下面将对本发明的实施例中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings required in the embodiments of the present invention. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those skilled in the art, other drawings can also be obtained based on these drawings without any creative effort.
图1是本发明实施例一的基于特征识别找回WIFI密码的方法流程图；Fig. 1 is the flow chart of the method for retrieving the WIFI password based on feature recognition in Embodiment 1 of the present invention;
图2是本发明实施例二基于特征识别找回WIFI密码的方法流程图；Fig. 2 is the flow chart of the method for retrieving the WIFI password based on feature recognition in Embodiment 2 of the present invention;
图3是本发明实施例三基于特征识别找回WIFI密码的方法流程图；Fig. 3 is the flow chart of the method for retrieving the WIFI password based on feature recognition according to Embodiment 3 of the present invention;
图4是本发明实施例四的移动终端的结构图之一；FIG. 4 is one of the structural diagrams of the mobile terminal according to Embodiment 4 of the present invention;
图5是本发明实施例四的移动终端的结构图之二；FIG. 5 is the second structural diagram of the mobile terminal according to Embodiment 4 of the present invention;
图6是本发明实施例五的移动终端结构图；FIG. 6 is a structural diagram of a mobile terminal according to Embodiment 5 of the present invention;
图7是本发明实施例六的移动终端结构图。FIG. 7 is a structural diagram of a mobile terminal according to Embodiment 6 of the present invention.
具体实施方式detailed description
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
实施例一：Embodiment one:
本实施例提供了一种基于特征识别找回WIFI密码的方法，如图1所示，该方法包括：步骤100至步骤130。This embodiment provides a method for retrieving a WIFI password based on feature recognition. As shown in FIG. 1 , the method includes: Step 100 to Step 130 .
步骤100，当所述移动终端处于WIFI连接状态时，获取用户找回WIFI密码的请求。Step 100, when the mobile terminal is in the WIFI connection state, obtain a request from the user to retrieve the WIFI password.
当所述移动终端处于WIFI连接状态时，若用户需要修改连接的WIFI的预置连接密码，或者，其他设备需要接入所述移动终端当前连接的WIFI，却忘记登录密码时，可以通过预设界面发起找回密码WIFI密码的请求，例如触发预设的“显示密码”控件。当预设的找回WIFI密码的控件被触发后，被触发的控件将发送找回所连接WIFI的连接密码的请求，移动终端根据所述找回WIFI密码的请求，启动采集待识别特征的操作。When the mobile terminal is in the WIFI connection state, if the user needs to modify the preset connection password of the connected WIFI, or other devices need to access the WIFI currently connected to the mobile terminal, but forget the login password, you can use the preset The interface initiates a request to retrieve the password WIFI password, for example, triggering the preset "display password" control. When the preset control for retrieving the WIFI password is triggered, the triggered control will send a request for retrieving the connection password of the connected WIFI, and the mobile terminal will start the operation of collecting features to be identified according to the request for retrieving the WIFI password .
步骤110，根据所述用户找回WIFI密码的请求，采集待识别特征。Step 110, collect features to be identified according to the user's request to retrieve the WIFI password.
当用户需要连接某一个WIFI账号，却忘记登录密码时，可以通过预设界面发起找回密码预置WIFI密码的请求。通常，所述预设界面包括WIFI账号信息，和预设的“显示密码”或“找回密码”的控件，用户可以选择操作的WIFI账号，之后触发预设的找回WIFI密码的控件。当预设的找回WIFI密码的控件被触发后，被触发的控件将发送找回WIFI密码的请求，移动终端根据所述找回WIFI密码的请求，启动采集待识别特征的操作。When the user needs to connect to a certain WIFI account but forgets the login password, he can initiate a request to retrieve the password and preset the WIFI password through the preset interface. Usually, the preset interface includes WIFI account information, and a preset control of "display password" or "retrieve password". The user can select the WIFI account to operate, and then trigger the preset control to retrieve the WIFI password. When the preset control for retrieving the WIFI password is triggered, the triggered control will send a request for retrieving the WIFI password, and the mobile terminal starts the operation of collecting features to be identified according to the request for retrieving the WIFI password.
待识别特征可以为影像特征，如人脸部影像提取的特征、某些物品(如手表、吊坠、钢笔等)的影像特征；也可以为声纹特征，如从录制的用户声音提取的特征。当待识别特征为影像特征时，在接收到用户找回WIFI密码的请求后，需要启动移动终端的前置摄像头，拍摄至少一张照片，然后提取所述照片数据中的待识别特征。当待识别特征为声纹特征时，在接收到用户找回WIFI密码的请求后，需要启动移动终端的麦克风，采集一段音频数据，然后通过预设的特征识别引擎提取所述音频数据中的待识别特征。The features to be identified can be image features, such as features extracted from human face images, image features of certain items (such as watches, pendants, pens, etc.); they can also be voiceprint features, such as features extracted from recorded user voices. When the feature to be identified is an image feature, after receiving the user's request to retrieve the WIFI password, it is necessary to start the front camera of the mobile terminal, take at least one photo, and then extract the feature to be identified in the photo data. When the feature to be identified is a voiceprint feature, after receiving the user's request to retrieve the WIFI password, it is necessary to start the microphone of the mobile terminal to collect a piece of audio data, and then extract the audio data to be identified in the audio data through the preset feature recognition engine. Identifying features.
步骤120，基于预设的特征库，对所述待识别特征进行匹配识别。Step 120, matching and identifying the features to be identified based on a preset feature library.
在对待识别特征进行匹配识别之前，移动终端需要预先设置特征库。通常移动终端还要预设特征识别引擎用于提取拍摄的影像中的影像特征，或者提取采集的语音数据中的声纹特征。同时，特征识别引擎还用于将提取的特征与预先设置的特征库中的特征进行匹配识别，已确定待识别特征是否与预先设置的特征库中的特征匹配。若待识别特征与预先设置的特征库中的特征匹配，则判定所述待识别特征识别成功。Before matching and identifying features to be identified, the mobile terminal needs to set a feature library in advance. Usually, the mobile terminal also presets a feature recognition engine for extracting image features in captured images, or extracting voiceprint features in collected voice data. At the same time, the feature recognition engine is also used to match and identify the extracted features with the features in the preset feature library, and determine whether the features to be recognized match the features in the preset feature library. If the feature to be recognized matches the feature in the preset feature library, it is determined that the feature to be recognized is successfully recognized.
具体实施时，对待识别特征和预设特征库中的特征进行匹配识别是可以采用计算两组特征相似度的方法。对待识别特征和预设特征库中的特征进行匹配识别可以通过现有技术中的方法实现，此处不再赘述。During specific implementation, the method of calculating the similarity of two sets of features can be used for matching and identifying the features to be identified and the features in the preset feature library. Matching and identifying the features to be identified with the features in the preset feature library can be realized by methods in the prior art, and will not be repeated here.
步骤130，若匹配成功，则显示所述移动终端连接的WIFI的预置WIFI密码。Step 130, if the matching is successful, display the preset WIFI password of the WIFI connected to the mobile terminal.
若通过计算两组特征相似度的方法对待识别特征和预设特征库中的特征进行匹配识别，则当两组特征相似度的相似度得分满足预设条件，如相似度大于90分，则可以确定两组特征匹配成功。即待识别特征和预设特征库中的特征相似度得分满足预设条件时，认为待识别特征和预设特征库中的特征匹配成功，则通过预设的界面显示预置的WIFI密码。If the feature to be identified is matched with the features in the preset feature library by calculating the similarity of two groups of features, then when the similarity score of the two groups of feature similarities meets the preset conditions, such as the similarity is greater than 90 points, then it can be It is determined that the two sets of features match successfully. That is, when the similarity score between the feature to be identified and the feature in the preset feature library meets the preset condition, it is considered that the feature to be identified and the feature in the preset feature library match successfully, and the preset WIFI password is displayed through the preset interface.
本发明实施例公开的基于特征识别找回WIFI密码的方法，通过当所述移动终端处于WIFI连接状态时，获取用户找回WIFI密码的请求；根据所述用户找回WIFI密码的请求，采集待识别特征；然后基于预设的特征库，对所述待识别特征进行匹配识别；若匹配成功，则显示所述移动终端连接的WIFI的预置WIFI密码，解决了现有技术中用户忘记WIFI密码时，只能重新设置路由器，重新设置密码导致的操作复杂的问题。通过采用特征识别找回WIFI密码，不仅安全性高，且不需要记忆，操作方便。The method for retrieving the WIFI password based on feature recognition disclosed in the embodiment of the present invention obtains the user's request for retrieving the WIFI password when the mobile terminal is in the WIFI connection state; according to the user's request for retrieving the WIFI password, collect the pending Identification feature; Then, based on the preset feature library, the feature to be identified is matched and identified; if the match is successful, the preset WIFI password of the WIFI connected to the mobile terminal is displayed, which solves the problem that the user forgets the WIFI password in the prior art At this time, you can only reset the router, and reset the password to cause complicated operations. Retrieving the WIFI password by using feature recognition is not only highly secure, but also requires no memory and is easy to operate.
实施例二：Embodiment two:
参见图2，本实施例提供了一种基于特征识别找回WIFI密码的方法，该方法包括：步骤200至步骤240。Referring to FIG. 2 , this embodiment provides a method for retrieving the WIFI password based on feature recognition, the method includes: Step 200 to Step 240 .
步骤200，设置找回WIFI密码的影像模板特征。Step 200, setting the feature of the image template for retrieving the WIFI password.
用户通过预设界面设置找回预置WIFI密码的模板特征。具体实施时，找回密码的特征可以为影像特征、声纹特征。本实施例中，以找回密码的特征为影像特征为例进行介绍。具体实施时，影像特征至少包括：人脸特征或特定物品特征。其中，特定物品可以为吊坠、钢笔、手表等物品。本实施例以影像特征为人脸特征举例，详细介绍影像特征采集、模板设置，以及影像特征的匹配识别方法。为了提高匹配识别的准确率，通常预设的特征库中存储多组模板特征。The user sets the template feature of retrieving the preset WIFI password through the preset interface. During specific implementation, the feature of recovering the password may be an image feature or a voiceprint feature. In this embodiment, the feature of recovering the password is an image feature as an example for introduction. During specific implementation, the image features at least include: human face features or specific item features. Wherein, the specific item may be items such as pendants, pens, and watches. In this embodiment, taking image features as an example of human face features, image feature collection, template setting, and image feature matching and recognition methods are introduced in detail. In order to improve the accuracy of matching recognition, multiple sets of template features are usually stored in a preset feature library.
首先，用户进入WIFI设置界面，并通过预设的WIFI安全界面，启动安全找回WIF密码的设置流程。移动终端启动摄像头，拍摄预设数量的人脸照片，并从每张照片中提取一组影像特征(即人脸特征)，将提取的预设组数的影像特征存储在移动终端的预设目录下，形成特征库。通常，预设的特征库中至少存储3组模板特征。First, the user enters the WIFI setting interface, and starts the setting process of safely retrieving the WIF password through the preset WIFI security interface. The mobile terminal starts the camera, takes a preset number of face photos, and extracts a set of image features (ie face features) from each photo, and stores the image features of the extracted preset number of groups in the preset directory of the mobile terminal Next, form a feature library. Usually, at least 3 sets of template features are stored in the preset feature library.
步骤210，当所述移动终端处于WIFI连接状态时，获取用户找回WIFI密码的请求。Step 210, when the mobile terminal is in the WIFI connection state, obtain a request from the user to retrieve the WIFI password.
当所述移动终端处于WIFI连接状态时，若用户需要修改连接的WIFI的连接密码，或者，其他设备需要接入所述移动终端当前连接的WIFI，却忘记登录密码时，可以通过预设界面发起找回密码WIFI密码的请求，例如触发预设的“显示密码”控件。当预设的找回WIFI密码的控件被触发后，被触发的控件将发送找回所连接WIFI的连接密码的请求，移动终端根据所述找回WIFI密码的请求，启动采集影像特征的操作。When the mobile terminal is in the WIFI connection state, if the user needs to modify the connection password of the connected WIFI, or other equipment needs to access the WIFI currently connected to the mobile terminal, but forgets the login password, it can be initiated through the preset interface. The request to retrieve the password WIFI password, such as triggering the preset "display password" control. When the preset control for retrieving the WIFI password is triggered, the triggered control will send a request for retrieving the connection password of the connected WIFI, and the mobile terminal starts the operation of collecting image features according to the request for retrieving the WIFI password.
步骤220，根据所述用户找回WIFI密码的请求，采集待识别影像特征。Step 220, according to the user's request to retrieve the WIFI password, collect image features to be identified.
当待识别特征为影像特征时，所述根据所述用户找回WIFI密码的请求，采集待识别特征包括：启动所述移动终端的摄像头，拍摄至少一张照片；提取拍摄的所述照片中的影像特征。本实施例仍以影像特征为人脸特征为例对采集待识别影像特征的方案进行具体说明。When the feature to be identified is an image feature, the collection of the feature to be identified according to the user's request to retrieve the WIFI password includes: starting the camera of the mobile terminal, and taking at least one photo; image features. In this embodiment, the scheme of collecting image features to be identified is still described in detail by taking the image features as human face features as an example.
当用户需要连接某一个WIFI账号，却忘记登录密码时，可以通过预设界面发起找回密码WIFI密码的请求，例如触发预设的“显示密码”控件。当预设的找回WIFI密码的控件被触发后，被触发的控件将发送找回WIFI密码的请求，移动终端根据所述找回WIFI密码的请求，启动采集人脸特征的操作。When the user needs to connect to a certain WIFI account but forgets the login password, he can initiate a request to retrieve the password WIFI password through the preset interface, such as triggering the preset "display password" control. When the preset control for retrieving the WIFI password is triggered, the triggered control will send a request for retrieving the WIFI password, and the mobile terminal starts the operation of collecting facial features according to the request for retrieving the WIFI password.
首先，启动所述移动终端的摄像头，拍摄至少一张人脸照片。具体实施时，可以只拍摄一张人脸照片用于提取人脸特征，也可以拍摄多张人脸照片，然后选择其中一张影像效果较好的照片用于提取人脸特征。First, start the camera of the mobile terminal, and take at least one face photo. During specific implementation, it is possible to take only one face photo for extracting face features, or take multiple face photos, and then select one of the photos with better image effect for extracting face features.
然后，提取拍摄的所述照片中的人脸特征。现有技术中对人脸进行识别时，通常采用特征向量法。该方法首先确定眼虹膜、鼻翼、嘴角等人脸五官轮廓的大小、位置、距离等属性，然后再计算出它们的几何特征量，再将这些几何特征量形成描述该人脸的特征向量。本发明中移动终端预设的特征识别引擎可以采用采用特征向量法进行人脸识别。具体实施时，特征识别引擎提取特征向量的方法可以采用现有技术。比如：采用LBP(Local BinaryPatterns)特征提取算法，从拍摄的照片中提取人脸特征。具体实施时，特征识别引擎可以采用现有技术中的人脸识别引擎，本发明对特征识别引擎的具体实现方案不做限定，此处也不再赘述。Then, extract the facial features in the photograph taken. In the prior art, the eigenvector method is usually used for face recognition. This method firstly determines the size, position, distance and other attributes of facial facial features such as iris, nose wing, and mouth corner, and then calculates their geometric feature quantities, and then forms these geometric feature quantities into a feature vector describing the face. The feature recognition engine preset by the mobile terminal in the present invention can use the feature vector method for face recognition. During specific implementation, the method for extracting feature vectors by the feature recognition engine may use existing technologies. For example: using the LBP (Local Binary Patterns) feature extraction algorithm to extract face features from the photos taken. During specific implementation, the face recognition engine in the prior art may be used as the feature recognition engine. The present invention does not limit the specific implementation scheme of the feature recognition engine, and will not repeat them here.
特征识别引擎提取照片中特定物品的特征的方案可以参考现有技术中对特定物品进行识别时，提取物品特征的方案，此处不再赘述。The solution for feature recognition engine to extract features of specific items in photos can refer to the solution for extracting features of items when identifying specific items in the prior art, which will not be repeated here.
提取拍摄的所述照片中的人脸特征，得到的人脸特征通常为一组特征向量。The facial features in the photographs taken are extracted, and the obtained facial features are usually a set of feature vectors.
步骤230，基于预设的影像模板特征对所述待识别影像特征进行匹配识别。Step 230, matching and identifying the features of the image to be recognized based on the preset features of the image template.
对于采集的待识别特征，需要与特征库中预先存储的用于找回WIFI密码的影像模板特征进行匹配，以确定当前要找回WIFI密码的用户是否具有预设的特征。所述基于预设的特征库，对所述待识别特征进行匹配识别包括：分别计算所述预设的特征库中的多组模板特征与所述待识别特征的相似度。具体实施时，相似度可以通过相似度得分来具体表示。在计算两组特征的相似度时，可以先计算两组特征的欧式距离D，然后确定1/D做为相似度得分。两组特征的欧式距离D越大，说明这两组特征差别越大，相似度得分越小。For the collected features to be identified, it needs to be matched with the image template features pre-stored in the feature database for retrieving the WIFI password, so as to determine whether the current user who wants to retrieve the WIFI password has the preset characteristics. The matching and identifying of the features to be recognized based on the preset feature library includes: respectively calculating the similarities between multiple sets of template features in the preset feature library and the features to be recognized. During specific implementation, the similarity may be specifically represented by a similarity score. When calculating the similarity between two groups of features, you can first calculate the Euclidean distance D of the two groups of features, and then determine 1/D as the similarity score. The larger the Euclidean distance D of the two groups of features, the greater the difference between the two groups of features and the smaller the similarity score.
以采集的待识别特征为FC1为例，若预设特征库中包括n组模板特征FM1、FM2、…、FMn，则分别计算FM1和FC1、FM2和FC1、....、FMn和FC1的相似度得分。Taking the collected feature to be identified as FC1 as an example, if the preset feature library includes n groups of template features FM1 , FM2 ,..., FMn , then calculate FM1 and FC1 , FM2 and FC1 , . ..., the similarity scores of FMn and FC1 .
具体实施时，为了提高匹配识别的效率，在分别计算所述预设的特征库中的多组模板特征与所述待识别特征的相似度包括：启动与所述预设的特征库中每组模板特征一一对应的识别线程；每个所述识别线程分别计算对应的所述模板特征与所述待识别特征的相似度。即移动终端后台建立n个识别线程T1、T2…Tn，每个识别线程对应一组模板特征，如T1对应FM1、T2对应FM2、…、Tn对应FMn。然后，n个线程同时计算各自对应的模板特征与待识别特征的相似度，即T1计算FM1和FC1的相似度、T2计算FM2和FC1的相似度，依此类推。During specific implementation, in order to improve the efficiency of matching and identification, calculating the similarities between the multiple sets of template features in the preset feature library and the features to be identified includes: starting and each group in the preset feature library Recognition threads corresponding to template features one by one; each recognition thread calculates the similarity between the corresponding template feature and the feature to be recognized. That is, the mobile terminal establishes n identification threads T1 , T2 ... Tn in the background, and each identification thread corresponds to a set of template features, such as T1 corresponding to FM1 , T2 corresponding to FM2 , ..., Tn corresponding to FMn . Then, n threads simultaneously calculate the similarity between their corresponding template features and the features to be recognized, that is, T1 calculates the similarity between FM1 and FC1 , T2 calculates the similarity between FM2 and FC1 , and so on.
步骤240，若匹配成功，则显示所述移动终端连接的WIFI的预置WIFI密码。Step 240, if the matching is successful, display the preset WIFI password of the WIFI connected to the mobile terminal.
具体实施时，按照如下方式确定匹配成功：若至少两组所述模板特征与所述待识别特征的相似度超过预设阈值，则确定匹配成功。例如，若特征库中包含3组特征，即n＝3，在前一步骤计算得到3组特征分别和待识别特征的相似度之后，得到3个相似度得分，至少有两个相似度得分满足预设阈值时，才确定待识别特征和特征库中的模板特征匹配成功。具体实施时，预设阈值根据实际需要确定，如90％。During specific implementation, it is determined that the matching is successful in the following manner: if the similarity between at least two groups of the template features and the features to be identified exceeds a preset threshold, then it is determined that the matching is successful. For example, if the feature library contains 3 sets of features, that is, n=3, after calculating the similarities between the 3 sets of features and the features to be identified in the previous step, 3 similarity scores are obtained, and at least two similarity scores satisfy When the threshold is preset, it is determined that the feature to be recognized matches the template feature in the feature library successfully. During specific implementation, the preset threshold is determined according to actual needs, such as 90%.
本发明实施例公开的基于特征识别找回WIFI密码的方法，通过预先设置找回WIFI密码的影像模板特征；然后，当所述移动终端处于WIFI连接状态时，获取用户找回WIFI密码的请求；在接受用户找回WIFI密码的请求后采集待识别影像特征；基于预设的影像模板特征对所述待识别影像特征进行匹配识别；最后，若匹配成功，则显示所述移动终端连接的WIFI的预置WIFI密码，解决了现有技术中用户忘记WIFI密码时，只能重新设置路由器，重新设置密码导致的操作复杂的问题。通过采用特征识别找回WIFI密码，不仅安全性高，且不需要记忆，操作方便。通过预设多组模板特征，并在至少两组特征匹配度符合预设条件时，才确定匹配成功，进一步提高了特征识别的准确率，保障了WIFI密码的安全。The method for retrieving the WIFI password based on feature recognition disclosed in the embodiment of the present invention is to pre-set the image template feature of retrieving the WIFI password; then, when the mobile terminal is in the WIFI connection state, obtain the user's request for retrieving the WIFI password; After accepting the user's request to retrieve the WIFI password, the image features to be identified are collected; based on the preset image template features, the image features to be identified are matched and identified; finally, if the match is successful, the WIFI information of the mobile terminal connected is displayed. The preset WIFI password solves the problem in the prior art that when the user forgets the WIFI password, he has to reset the router and the complicated operation caused by resetting the password. Retrieving the WIFI password by using feature recognition is not only highly secure, but also requires no memory and is easy to operate. By presetting multiple sets of template features, and only when the matching degree of at least two sets of features meets the preset conditions, the matching is determined to be successful, which further improves the accuracy of feature recognition and ensures the security of WIFI passwords.
实施例三：Embodiment three:
参见图3，本实施例提供了一种基于特征识别找回WIFI密码的方法，该方法包括：步骤300至步骤340。Referring to FIG. 3 , this embodiment provides a method for retrieving the WIFI password based on feature recognition, the method includes: Step 300 to Step 340 .
步骤300，设置找回WIFI密码的声纹模板特征。Step 300, setting the characteristics of the voiceprint template for retrieving the WIFI password.
用户通过预设界面设置找回WIFI密码的模板特征。具体实施时，找回密码的特征可以为影像特征、声纹特征。本实施例中，以找回密码的特征为声纹特征为例进行介绍。为了提高匹配识别的准确率，通常预设的特征库中存储多组模板特征。The user sets the template feature of retrieving the WIFI password through the preset interface. During specific implementation, the feature of recovering the password may be an image feature or a voiceprint feature. In this embodiment, the feature of retrieving the password is the voiceprint feature as an example for introduction. In order to improve the accuracy of matching recognition, multiple sets of template features are usually stored in a preset feature library.
首先，用户进入WIFI设置界面，并通过预设的WIFI安全界面，启动安全找回WIF密码的设置流程。移动终端启动麦克风，采集音频数据，如用户的多段音频，并从每段音频数据中提取一组声纹特征，将提取的预设组数的声纹特征存储在移动终端的预设目录下，形成特征库。通常，预设的特征库中至少存储3组模板特征。First, the user enters the WIFI setting interface, and starts the setting process of safely retrieving the WIF password through the preset WIFI security interface. The mobile terminal activates the microphone, collects audio data, such as multiple pieces of audio of the user, and extracts a set of voiceprint features from each piece of audio data, and stores the extracted voiceprint features of the preset number of groups in the preset directory of the mobile terminal, Form a feature library. Usually, at least 3 sets of template features are stored in the preset feature library.
步骤310，当所述移动终端处于WIFI连接状态时，获取用户找回WIFI密码的请求。Step 310, when the mobile terminal is in the WIFI connection state, obtain a request from the user to retrieve the WIFI password.
当所述移动终端处于WIFI连接状态时，若用户需要修改连接的WIFI的连接密码，或者，其他设备需要接入所述移动终端当前连接的WIFI，却忘记登录密码时，可以通过预设界面发起找回密码WIFI密码的请求，例如触发预设的“显示密码”控件。当预设的找回WIFI密码的控件被触发后，被触发的控件将发送找回所连接WIFI的连接密码的请求，移动终端根据所述找回WIFI密码的请求，启动采集声纹特征的操作。When the mobile terminal is in the WIFI connection state, if the user needs to modify the connection password of the connected WIFI, or other equipment needs to access the WIFI currently connected to the mobile terminal, but forgets the login password, it can be initiated through the preset interface. The request to retrieve the password WIFI password, such as triggering the preset "display password" control. When the preset control for retrieving the WIFI password is triggered, the triggered control will send a request for retrieving the connection password of the connected WIFI, and the mobile terminal will start the operation of collecting voiceprint features according to the request for retrieving the WIFI password .
步骤320，根据所述用户找回WIFI密码的请求，采集待识别声纹特征。Step 320, according to the user's request to retrieve the WIFI password, collect the features of the voiceprint to be identified.
当待识别特征为声纹特征时，所述根据所述用户找回WIFI密码的请求，采集待识别特征包括：启动所述移动终端的麦克风，采集一段音频；提取采集的所述音频中的声纹特征。When the feature to be identified is a voiceprint feature, the collecting the feature to be identified according to the user's request to retrieve the WIFI password includes: starting the microphone of the mobile terminal to collect a section of audio; extracting the voice in the collected audio striation feature.
首先，启动所述移动终端的麦克风，并采集一段音频数据，如录制一段用户的录音。然后，提取采集的音频中的声纹特征。具体实施时，可以采用现有技术中的声纹识别引擎，本发明对提取采集的音频中的声纹特征的具体实现方案不做限定，此处也不再赘述。First, start the microphone of the mobile terminal, and collect a piece of audio data, such as recording a piece of user recording. Then, the voiceprint features in the collected audio are extracted. During specific implementation, the voiceprint recognition engine in the prior art may be used. The present invention does not limit the specific implementation scheme of extracting the voiceprint features in the collected audio, and will not repeat them here.
通过提取采集的音频中的声纹特征，得到的声纹特征通常为一组特征向量。By extracting the voiceprint features in the collected audio, the obtained voiceprint features are usually a set of feature vectors.
步骤330，基于预设声纹模板特征对所述待识别声纹特征进行匹配识别。Step 330, matching and identifying the voiceprint features to be recognized based on preset voiceprint template features.
对于采集的待识别特征，需要与特征库中预先存储的用于找回WIFI密码的声纹模板特征进行匹配，以确定当前要找回WIFI密码的用户是否具有预设的特征。所述基于预设的特征库，对所述待识别特征进行匹配识别包括：分别计算所述预设的特征库中的多组模板特征与所述待识别特征的相似度。For the collected features to be identified, it needs to be matched with the pre-stored voiceprint template features for retrieving the WIFI password in the feature library, so as to determine whether the current user who wants to retrieve the WIFI password has the preset characteristics. The matching and identifying of the features to be recognized based on the preset feature library includes: respectively calculating the similarities between multiple sets of template features in the preset feature library and the features to be recognized.
基于预设的声纹模板特征对所述待识别声纹特征进行匹配识别的具体实施方案参见影像特征识别的相关步骤，此处不再赘述。For a specific implementation scheme of matching and recognizing the voiceprint features to be recognized based on the preset voiceprint template features, refer to the relevant steps of image feature recognition, which will not be repeated here.
步骤340，若匹配成功，则显示所述移动终端连接的WIFI的预置WIFI密码。Step 340, if the matching is successful, display the preset WIFI password of the WIFI connected to the mobile terminal.
具体实施时，按照如下方式确定匹配成功：若至少两组所述模板特征与所述待识别特征的相似度超过预设阈值，则确定匹配成功。例如，若特征库中包含3组特征，即n＝3，在前一步骤计算得到3组特征分别和待识别特征的相似度之后，得到3个相似度得分，至少有两个相似度得分满足预设阈值时，才确定待识别特征和特征库中的模板特征匹配成功。具体实施时，预设阈值根据实际需要确定。During specific implementation, it is determined that the matching is successful in the following manner: if the similarity between at least two groups of the template features and the features to be identified exceeds a preset threshold, then it is determined that the matching is successful. For example, if the feature library contains 3 sets of features, that is, n=3, after calculating the similarities between the 3 sets of features and the features to be identified in the previous step, 3 similarity scores are obtained, and at least two similarity scores satisfy When the threshold is preset, it is determined that the feature to be recognized matches the template feature in the feature library successfully. During specific implementation, the preset threshold is determined according to actual needs.
本发明实施例公开的基于特征识别找回WIFI密码的方法，通过预先设置找回WIFI密码的声纹模板特征；然后当所述移动终端处于WIFI连接状态时，获取用户找回WIFI密码的请求；在接受用户找回WIFI密码的请求后采集待识别声纹特征；基于预设的声纹模板特征对所述待识别声纹特征进行匹配识别；最后，若匹配成功，则显示所述移动终端连接的WIFI的预置WIFI密码，解决了现有技术中用户忘记WIFI密码时，只能重新设置路由器，重新设置密码导致的操作复杂的问题。通过采用特征识别找回WIFI密码，不仅安全性高，且不需要记忆，操作方便。通过预设多组模板特征，并在至少两组特征匹配度符合预设条件时，才确定匹配成功，进一步提高了特征识别的准确率，保障了WIFI密码的安全。The method for retrieving the WIFI password based on feature recognition disclosed in the embodiment of the present invention is to pre-set the characteristics of the voiceprint template for retrieving the WIFI password; then when the mobile terminal is in the WIFI connection state, obtain the user's request for retrieving the WIFI password; After accepting the user's request to retrieve the WIFI password, the voiceprint features to be identified are collected; based on the preset voiceprint template features, the voiceprint features to be identified are matched and identified; finally, if the matching is successful, the mobile terminal connection is displayed. The preset WIFI password of the WIFI solves the problem in the prior art that when the user forgets the WIFI password, he can only reset the router and the complicated operation caused by resetting the password. Retrieving the WIFI password by using feature recognition is not only highly secure, but also requires no memory and is easy to operate. By presetting multiple sets of template features, and only when the matching degree of at least two sets of features meets the preset conditions, the matching is determined to be successful, which further improves the accuracy of feature recognition and ensures the security of WIFI passwords.
在前述实施例一至实施例三中，特征识别引擎包括：影像识别引擎和/或声纹识别引擎，影像识别引擎进一步包括人脸识别引擎和/或物品识别引擎。移动终端中可以设置一个或多个特征识别引擎。当特征识别引擎只包括影像识别引擎时，根据所述用户找回WIFI密码的请求，采集待识别特征时，将启动摄像头拍摄照片，用于由影像识别引擎进行特征提取和匹配识别。当特征识别引擎只包括声纹识别引擎时，根据所述用户找回WIFI密码的请求，采集待识别特征时，将启动麦克风采集音频数据，用于由声纹识别引擎进行特征提取和匹配识别。当特征识别引擎同时包括影像识别引擎和声纹识别引擎时，可以在预先建立特征库时，提示用户选择一个特征识别引擎，然后，根据用户的选择，在收到用户找回WIFI密码的请求后采集待识别特征时，启动该引擎对应的采集设备采集相应的待识别特征。In the foregoing embodiments 1 to 3, the feature recognition engine includes: an image recognition engine and/or a voiceprint recognition engine, and the image recognition engine further includes a face recognition engine and/or an object recognition engine. One or more feature recognition engines can be set in the mobile terminal. When the feature recognition engine only includes the image recognition engine, according to the user's request to retrieve the WIFI password, when collecting the features to be recognized, the camera will be started to take pictures for feature extraction and matching recognition by the image recognition engine. When the feature recognition engine only includes the voiceprint recognition engine, according to the user's request to retrieve the WIFI password, when collecting the features to be recognized, the microphone will be started to collect audio data for feature extraction and matching recognition by the voiceprint recognition engine. When the feature recognition engine includes both the image recognition engine and the voiceprint recognition engine, the user can be prompted to select a feature recognition engine when the feature library is pre-established, and then, according to the user's choice, after receiving the user's request to retrieve the WIFI password When collecting the features to be identified, start the acquisition device corresponding to the engine to collect the corresponding features to be identified.
实施例四：Embodiment four:
相应地，本发明实施例还公开了一种移动终端40，如图4所示，包括：Correspondingly, the embodiment of the present invention also discloses a mobile terminal 40, as shown in FIG. 4 , including:
请求获取模块400，用于当移动终端处于WIFI连接状态时，获取用户找回WIFI密码的请求；The request acquisition module 400 is used to obtain the user's request to retrieve the WIFI password when the mobile terminal is in the WIFI connection state;
特征采集模块410，用于根据所述用户找回WIFI密码的请求，采集待识别特征；Feature collection module 410, for collecting the feature to be identified according to the request of the user to retrieve the WIFI password;
特征匹配模块420，用于基于预设的特征库对所述特征采集模块410采集的待识别特征进行匹配识别；A feature matching module 420, configured to match and identify the features to be identified collected by the feature collection module 410 based on a preset feature library;
密码显示模块430，用于若匹配成功，则显示所述移动终端连接的WIFI的预置WIFI密码。The password display module 430 is configured to display the preset WIFI password of the WIFI connected to the mobile terminal if the matching is successful.
本发明实施例公开的移动终端，通过当所述移动终端处于WIFI连接状态时，获取用户找回WIFI密码的请求；根据所述用户找回WIFI密码的请求，采集待识别特征；然后基于预设的特征库，对所述待识别特征进行匹配识别；若匹配成功，则显示所述移动终端连接的WIFI的预置WIFI密码，解决了现有技术中用户忘记WIFI密码时，只能重新设置路由器，重新设置密码导致的操作复杂的问题。通过采用特征识别找回WIFI密码，不仅安全性高，且不需要记忆，操作方便。The mobile terminal disclosed in the embodiment of the present invention obtains the user's request for retrieving the WIFI password when the mobile terminal is in the WIFI connection state; according to the user's request for retrieving the WIFI password, collects the features to be identified; and then based on the preset The feature library is used to match and identify the features to be identified; if the match is successful, the preset WIFI password of the WIFI connected to the mobile terminal will be displayed, which solves the problem of resetting the router when the user forgets the WIFI password in the prior art , the problem of complex operation caused by resetting the password. Retrieving the WIFI password by using feature recognition is not only highly secure, but also requires no memory and is easy to operate.
可选地，如图5所示，所述特征采集模块410包括：Optionally, as shown in FIG. 5, the feature collection module 410 includes:
影像拍摄单元4101，用于启动所述移动终端的摄像头，拍摄至少一张照片；An image capturing unit 4101, configured to start the camera of the mobile terminal and take at least one photo;
影像特征提取单元4102，用于提取所述影像拍摄单元4101拍摄的所述照片中的影像特征。The image feature extraction unit 4102 is configured to extract image features in the photo taken by the image capture unit 4101 .
可选地，如图5所示，所述特征采集模块410包括：Optionally, as shown in FIG. 5, the feature collection module 410 includes:
声音采集单元4103，用于启动所述移动终端的麦克风，采集一段音频；A sound collection unit 4103, configured to start the microphone of the mobile terminal to collect a piece of audio;
声纹特征提取单元4104，用于提取所述声音采集单元4103采集的所述音频中的声纹特征。A voiceprint feature extraction unit 4104, configured to extract voiceprint features in the audio collected by the voice collection unit 4103.
可选地，所述特征匹配模块420用于分别计算所述预设的特征库中的多组模板特征与所述待识别特征的相似度。Optionally, the feature matching module 420 is configured to respectively calculate the similarity between multiple sets of template features in the preset feature library and the feature to be identified.
可选地，所述分别计算所述预设的特征库中的多组模板特征与所述待识别特征的相似度包括：启动与所述预设的特征库中每组模板特征一一对应的识别线程；每个所述识别线程分别计算对应的所述模板特征与所述待识别特征的相似度。Optionally, the calculating the similarities between multiple sets of template features in the preset feature library and the features to be identified includes: starting a one-to-one correspondence with each set of template features in the preset feature library Recognition threads: each of the recognition threads calculates the similarity between the corresponding template feature and the feature to be recognized.
可选地，按照如下方式确定匹配成功：若至少两组所述模板特征与所述待识别特征的相似度超过预设阈值，则确定匹配成功。Optionally, determining that the matching is successful is as follows: if the similarity between at least two groups of the template features and the features to be identified exceeds a preset threshold, it is determined that the matching is successful.
具体实施时，所述影像特征至少包括：人脸特征或特定物品特征。During specific implementation, the image features at least include: human face features or specific item features.
本发明实施例公开的移动终端，通过预先设置找回WIFI密码的声纹模板特征或影像特征；然后当所述移动终端处于WIFI连接状态时，获取用户找回WIFI密码的请求；在接受用户找回WIFI密码的请求后采集待识别声纹特征或影像特征；基于预设模板特征对所述待识别特征进行匹配识别；最后，若匹配成功，则显示所述移动终端连接的WIFI的预置WIFI密码，解决了现有技术中用户忘记WIFI密码时，只能重新设置路由器，重新设置密码导致的操作复杂的问题。通过采用特征识别找回WIFI密码，不仅安全性高，且不需要记忆，操作方便。通过预设多组模板特征，并在至少两组特征匹配度符合预设条件时，才确定匹配成功，进一步提高了特征识别的准确率，保障了WIFI密码的安全。The mobile terminal disclosed in the embodiment of the present invention retrieves the voiceprint template feature or image feature of the WIFI password by pre-setting; then when the mobile terminal is in the WIFI connection state, obtains the user's request to retrieve the WIFI password; Collect the voiceprint feature or image feature to be identified after returning the request of the WIFI password; match and identify the feature to be identified based on the preset template feature; finally, if the match is successful, the preset WIFI of the WIFI connected to the mobile terminal is displayed. The password solves the problem in the prior art that when the user forgets the WIFI password, he can only reset the router and the complicated operation caused by resetting the password. Retrieving the WIFI password by using feature recognition is not only highly secure, but also requires no memory and is easy to operate. By presetting multiple sets of template features, and only when the matching degree of at least two sets of features meets the preset conditions, the matching is determined to be successful, which further improves the accuracy of feature recognition and ensures the security of WIFI passwords.
实施例五：Embodiment five:
图6是本发明另一个实施例的移动终端的框图。图6所示的移动终端600包括：至少一个处理器601、存储器602、至少一个网络接口604、拍照组件606和其他用户接口603。移动终端600中的各个组件通过总线系统605耦合在一起。可理解，总线系统605用于实现这些组件之间的连接通信。总线系统605除包括数据总线之外，还包括电源总线、控制总线和状态信号总线。但是为了清楚说明起见，在图6中将各种总线都标为总线系统605。拍照组件606用户拍摄人脸或特定物品照片。FIG. 6 is a block diagram of a mobile terminal according to another embodiment of the present invention. The mobile terminal 600 shown in FIG. 6 includes: at least one processor 601 , a memory 602 , at least one network interface 604 , a photographing component 606 and other user interfaces 603 . Various components in the mobile terminal 600 are coupled together through a bus system 605 . It can be understood that the bus system 605 is used to realize connection and communication between these components. In addition to the data bus, the bus system 605 also includes a power bus, a control bus and a status signal bus. However, the various buses are labeled as bus system 605 in FIG. 6 for clarity of illustration. The photographing component 606 allows the user to photograph a person's face or a photograph of a specific item.
其中，用户接口603可以包括显示器、键盘或者点击设备(例如，鼠标，轨迹球(trackball)、触感板、触摸屏或者触控板等。本实施例通过触摸屏检测用户对桌面文件夹的触发操作，如点击、按压等。用户接口603还包括克风、扬声器，用于采集语音数据、播放提示信息。Wherein, the user interface 603 may include a display, a keyboard, or a pointing device (for example, a mouse, a trackball (trackball), a touch pad, a touch screen, or a touch pad, etc. This embodiment detects a user's trigger operation on the desktop folder through the touch screen, such as Click, press, etc. The user interface 603 also includes a microphone and a speaker for collecting voice data and playing prompt information.
可以理解，本发明实施例中的存储器602可以是易失性存储器或非易失性存储器，或可包括易失性和非易失性存储器两者。其中，非易失性存储器可以是只读存储器(Read-Only Memory，ROM)、可编程只读存储器(Programmable ROM，PROM)、可擦除可编程只读存储器(Erasable PROM，EPROM)、电可擦除可编程只读存储器(Electrically EPROM，EEPROM)或闪存。易失性存储器可以是随机存取存储器(Random Access Memory，RAM)，其用作外部高速缓存。通过示例性但不是限制性说明，许多形式的RAM可用，例如静态随机存取存储器(Static RAM，SRAM)、动态随机存取存储器(Dynamic RAM，DRAM)、同步动态随机存取存储器(Synchronous DRAM，SDRAM)、双倍数据速率同步动态随机存取存储器(Double Data RateSDRAM，DDRSDRAM)、增强型同步动态随机存取存储器(Enhanced SDRAM，ESDRAM)、同步连接动态随机存取存储器(Synchlink DRAM，SLDRAM)和直接内存总线随机存取存储器(DirectRambus RAM，DRRAM)。本文描述的系统和方法的存储器602旨在包括但不限于这些和任意其它适合类型的存储器。It can be understood that the memory 602 in the embodiment of the present invention may be a volatile memory or a nonvolatile memory, or may include both volatile and nonvolatile memories. Wherein, the non-volatile memory may be a read-only memory (Read-Only Memory, ROM), a programmable read-only memory (Programmable ROM, PROM), an erasable programmable read-only memory (Erasable PROM, EPROM), an electronically programmable Erase Programmable Read-Only Memory (Electrically EPROM, EEPROM) or Flash. The volatile memory can be Random Access Memory (RAM), which acts as an external cache. By way of illustration and not limitation, many forms of RAM are available such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (Synchronous DRAM, SDRAM), double data rate synchronous dynamic random access memory (Double Data RateSDRAM, DDRSDRAM), enhanced synchronous dynamic random access memory (Enhanced SDRAM, ESDRAM), synchronous connection dynamic random access memory (Synchlink DRAM, SLDRAM) and Direct memory bus random access memory (DirectRambus RAM, DRRAM). Memory 602 of the systems and methods described herein is intended to include, but is not limited to, these and any other suitable types of memory.
在一些实施方式中，存储器602存储了如下的元素，可执行模块或者数据结构，或者他们的子集，或者他们的扩展集：操作系统6021和应用程序6022。In some implementations, the memory 602 stores the following elements, executable modules or data structures, or their subsets, or their extended sets: an operating system 6021 and an application program 6022 .
其中，操作系统6021，包含各种系统程序，例如框架层、核心库层、驱动层等，用于实现各种基础业务以及处理基于硬件的任务。应用程序6022，包含各种应用程序，例如媒体播放器(Media Player)、浏览器(Browser)等，用于实现各种应用业务。实现本发明实施例方法的程序可以包含在应用程序6022中。在本发明实施例中，通过调用存储器602存储的程序或指令，具体的，可以是应用程序6022中存储的程序或指令。通过用户接口603中的触摸屏检测用户使用应用程序的操作，并检测用户点击桌面文件夹的触发操作或打开桌面文件夹的触发操作，以及检测启动应用程序的触发操作。处理器601用于当所述移动终端处于WIFI连接状态时，获取用户找回WIFI密码的请求；根据所述用户找回WIFI密码的请求，采集待识别特征；基于预设的特征库，对所述待识别特征进行匹配识别；若匹配成功，则显示所述移动终端连接的WIFI的预置WIFI密码。Among them, the operating system 6021 includes various system programs, such as framework layer, core library layer, driver layer, etc., for realizing various basic services and processing hardware-based tasks. The application program 6022 includes various application programs, such as a media player (Media Player), a browser (Browser), etc., and is used to implement various application services. The program for realizing the method of the embodiment of the present invention may be included in the application program 6022 . In the embodiment of the present invention, the program or instruction stored in the memory 602 is called, specifically, the program or instruction stored in the application program 6022 may be used. The touch screen in the user interface 603 detects the user's operation of using the application program, detects the trigger operation of clicking the desktop folder or opening the desktop folder, and detects the trigger operation of starting the application program. The processor 601 is used to acquire the user's request to retrieve the WIFI password when the mobile terminal is in the WIFI connection state; collect the features to be identified according to the user's request to retrieve the WIFI password; The features to be identified are matched and identified; if the matching is successful, the preset WIFI password of the WIFI connected to the mobile terminal is displayed.
上述本发明实施例揭示的方法部分可以应用于处理器601中，或者由处理器601实现。处理器601可能是一种集成电路芯片，具有信号的处理能力。在实现过程中，上述方法的各步骤可以通过处理器601中的硬件的集成逻辑电路或者软件形式的指令完成。上述的处理器601可以是通用处理器、数字信号处理器(Digital Signal Processor，DSP)、专用集成电路(Application Specific Integrated Circuit，ASIC)、现成可编程门阵列(FieldProgrammable Gate Array，FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件。可以实现或者执行本发明实施例中的公开的各方法、步骤及逻辑框图。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。结合本发明实施例所公开的方法的步骤可以直接体现为硬件译码处理器执行完成，或者用译码处理器中的硬件及软件模块组合执行完成。软件模块可以位于随机存储器，闪存、只读存储器，可编程只读存储器或者电可擦写可编程存储器、寄存器等本领域成熟的存储介质中。该存储介质位于存储器602，处理器601读取存储器602中的用户对应用程序的使用次数，结合其硬件完成上述方法的步骤。Part of the methods disclosed in the foregoing embodiments of the present invention may be applied to the processor 601 or implemented by the processor 601 . The processor 601 may be an integrated circuit chip and has signal processing capabilities. In the implementation process, each step of the above method may be completed by an integrated logic circuit of hardware in the processor 601 or instructions in the form of software. The above-mentioned processor 601 may be a general-purpose processor, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), an off-the-shelf programmable gate array (Field Programmable Gate Array, FPGA) or other available Program logic devices, discrete gate or transistor logic devices, discrete hardware components. Various methods, steps and logic block diagrams disclosed in the embodiments of the present invention may be implemented or executed. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like. The steps of the methods disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module can be located in a mature storage medium in the field such as random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, register. The storage medium is located in the memory 602, and the processor 601 reads the number of times the user uses the application program in the memory 602, and completes the steps of the above method in combination with its hardware.
可以理解的是，本文描述的这些实施例可以用硬件、软件、固件、中间件、微码或其组合来实现。对于硬件实现，处理单元可以实现在一个或多个专用集成电路(ApplicationSpecific Integrated Circuits，ASIC)、数字信号处理器(Digital Signal Processing，DSP)、数字信号处理设备(DSP Device，DSPD)、可编程逻辑设备(Programmable LogicDevice，PLD)、现场可编程门阵列(Field-Programmable Gate Array，FPGA)、通用处理器、控制器、微控制器、微处理器、用于执行本申请所述功能的其它电子单元或其组合中。It should be understood that the embodiments described herein may be implemented by hardware, software, firmware, middleware, microcode or a combination thereof. For hardware implementation, the processing unit can be implemented in one or more application specific integrated circuits (Application Specific Integrated Circuits, ASIC), digital signal processor (Digital Signal Processing, DSP), digital signal processing device (DSP Device, DSPD), programmable logic Device (Programmable Logic Device, PLD), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA), general-purpose processor, controller, microcontroller, microprocessor, other electronic units for performing the functions described in this application or a combination thereof.
对于软件实现，可通过执行本文所述功能的模块(例如过程、函数等)来实现本文所述的技术。软件代码可存储在存储器中并通过处理器执行。存储器可以在处理器中或在处理器外部实现。For a software implementation, the techniques described herein can be implemented through modules (eg, procedures, functions, and so on) that perform the functions described herein. Software codes can be stored in memory and executed by a processor. Memory can be implemented within the processor or external to the processor.
可选地，处理器601用于启动所述移动终端的摄像头，拍摄至少一张照片；提取拍摄的所述照片中的影像特征。Optionally, the processor 601 is configured to start a camera of the mobile terminal, take at least one photo; and extract image features in the taken photo.
可选地，处理器601用于启动所述移动终端的麦克风，采集一段音频；提取采集的所述音频中的声纹特征。Optionally, the processor 601 is configured to start a microphone of the mobile terminal to collect a piece of audio; and extract voiceprint features in the collected audio.
可选地，处理器601用于分别计算所述预设的特征库中的多组模板特征与所述待识别特征的相似度。Optionally, the processor 601 is configured to separately calculate the similarity between multiple sets of template features in the preset feature library and the feature to be identified.
可选地，处理器601用于按照如下方式确定匹配成功：若至少两组所述模板特征与所述待识别特征的相似度超过预设阈值，则确定匹配成功。Optionally, the processor 601 is configured to determine that the matching is successful in the following manner: if the similarity between at least two groups of the template features and the features to be identified exceeds a preset threshold, then determine that the matching is successful.
可选地，所述影像特征至少包括：人脸特征或特定物品特征。Optionally, the image features at least include: human face features or specific item features.
移动终端600能够实现前述实施例中移动终端实现的各个过程，为避免重复，这里不再赘述。通过本发明的实施例，解决了现有技术中用户忘记WIFI密码时，只能重新设置路由器，重新设置密码导致的操作复杂的问题。通过采用特征识别找回WIFI密码，不仅安全性高，且不需要记忆，操作方便。The mobile terminal 600 can implement various processes implemented by the mobile terminal in the foregoing embodiments, and to avoid repetition, details are not repeated here. Through the embodiments of the present invention, when the user forgets the WIFI password in the prior art, he can only reset the router, and the problem of complex operation caused by resetting the password is solved. Retrieving the WIFI password by using feature recognition is not only highly secure, but also requires no memory and is easy to operate.
实施例六：Embodiment six:
图7是本发明另一个实施例的移动终端的结构示意图。具体地，图7中的移动终端可以为手机、平板电脑、个人数字助理(Personal Digital Assistant，PDA)、或车载电脑等。Fig. 7 is a schematic structural diagram of a mobile terminal according to another embodiment of the present invention. Specifically, the mobile terminal in FIG. 7 may be a mobile phone, a tablet computer, a personal digital assistant (Personal Digital Assistant, PDA), or a vehicle-mounted computer.
图7中的移动终端包括射频(Radio Frequency，RF)电路710、存储器720、输入单元730、显示单元740、拍照组件750、处理器760、音频电路770、通信模块780和电源790。音频电路770还用于采集语音数据，以及播放语音提示信息。所述拍照组件750用于拍摄人脸照片或特定物品照片。The mobile terminal in FIG. 7 includes a radio frequency (Radio Frequency, RF) circuit 710, a memory 720, an input unit 730, a display unit 740, a camera assembly 750, a processor 760, an audio circuit 770, a communication module 780 and a power supply 790. The audio circuit 770 is also used for collecting voice data and playing voice prompt information. The photographing component 750 is used to take photos of people's faces or photos of specific items.
其中，输入单元730可用于接收用户输入的触发操作，以及产生与移动终端的用户设置以及功能控制有关的信号输入。具体地，本发明实施例中，该输入单元730可以包括触控面板731。触控面板731，也称为触摸屏，可收集用户在其上或附近的触摸操作(比如用户使用手指、触笔等任何适合的物体或附件在触控面板731上的操作)，并根据预先设定的程式驱动相应的连接装置。可选的，触控面板731可包括触摸检测装置和触摸控制器两个部分。其中，触摸检测装置检测用户的触摸方位，并检测触摸操作带来的信号，将信号传送给触摸控制器；触摸控制器从触摸检测装置上接收触摸信息，并将它转换成触点坐标，再送给该处理器760，并能接收处理器760发来的命令并加以执行。此外，可以采用电阻式、电容式、红外线以及表面声波等多种类型实现触控面板731。除了触控面板731，输入单元730还可以包括其他输入设备732，其他输入设备732可以包括但不限于物理键盘、功能键(比如音量控制按键、开关按键等)、轨迹球、鼠标、操作杆等中的一种或多种。输入单元730还可以包括摄像头，用于拍摄照片。Wherein, the input unit 730 can be used to receive a trigger operation input by a user, and generate signal input related to user setting and function control of the mobile terminal. Specifically, in the embodiment of the present invention, the input unit 730 may include a touch panel 731 . The touch panel 731, also referred to as a touch screen, can collect user's touch operations on or near it (such as the user's operation on the touch panel 731 using any suitable object or accessory such as a finger, a stylus), and The specified program drives the corresponding connected device. Optionally, the touch panel 731 may include two parts, a touch detection device and a touch controller. Among them, the touch detection device detects the user's touch orientation, detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into contact coordinates, and sends it to to the processor 760, and can receive and execute commands sent by the processor 760. In addition, the touch panel 731 can be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. In addition to the touch panel 731, the input unit 730 may also include other input devices 732, which may include but not limited to physical keyboards, function keys (such as volume control buttons, switch buttons, etc.), trackballs, mice, joysticks, etc. one or more of. The input unit 730 may also include a camera for taking photos.
其中，显示单元740可用于显示由用户输入的信息或提供给用户的信息以及移动终端700的各种菜单界面。显示单元740可包括显示面板741，可选的，可以采用LCD或有机发光二极管(Organic Light-Emitting Diode，OLED)等形式来配置显示面板741。Wherein, the display unit 740 can be used to display information input by the user or information provided to the user and various menu interfaces of the mobile terminal 700 . The display unit 740 may include a display panel 741. Optionally, the display panel 741 may be configured in the form of an LCD or an organic light-emitting diode (Organic Light-Emitting Diode, OLED).
应注意，触控面板731可以覆盖显示面板741，形成触摸显示屏，当该触摸显示屏检测到在其上或附近的触摸操作后，传送给处理器760以确定触摸事件的类型，随后处理器760根据触摸事件的类型在触摸显示屏上提供相应的视觉输出。It should be noted that the touch panel 731 can cover the display panel 741 to form a touch display screen. When the touch display screen detects a touch operation on or near it, it is sent to the processor 760 to determine the type of the touch event, and then the processor The 760 provides corresponding visual output on the touch display screen according to the type of the touch event.
触摸显示屏包括应用程序界面显示区及常用控件显示区。该应用程序界面显示区及该常用控件显示区的排列方式并不限定，可以为上下排列、左右排列等可以区分两个显示区的排列方式。该应用程序界面显示区可以用于显示应用程序的界面。每一个界面可以包含至少一个应用程序的图标和/或widget桌面控件等界面元素。该应用程序界面显示区也可以为不包含任何内容的空界面。该常用控件显示区用于显示使用率较高的控件，例如，设置按钮、界面编号、滚动条、电话本图标等应用程序图标等。The touch display screen includes an application program interface display area and a common control display area. The arrangement of the display area of the application program interface and the display area of the commonly used controls is not limited, and may be an arrangement in which the two display areas can be distinguished, such as vertical arrangement, left-right arrangement, and the like. The application program interface display area can be used to display the interface of the application program. Each interface may include at least one interface element such as an icon of an application program and/or a widget desktop control. The application program interface display area can also be an empty interface without any content. The commonly used control display area is used to display controls with a high usage rate, for example, application icons such as setting buttons, interface numbers, scroll bars, and phonebook icons.
其中处理器760是移动终端700的控制中心，利用各种接口和线路连接整个手机的各个部分，通过运行或执行存储在第一存储器721内的软件程序和/或模块，以及调用存储在第二存储器722内的数据，执行移动终端700的各种功能和处理数据，从而对移动终端700进行整体监控。可选的，处理器760可包括一个或多个处理单元。Wherein the processor 760 is the control center of the mobile terminal 700, utilizes various interfaces and lines to connect various parts of the whole mobile phone, by running or executing the software programs and/or modules stored in the first memory 721, and calling the software programs and/or modules stored in the second memory 721. The data in the memory 722 executes various functions of the mobile terminal 700 and processes data, so as to monitor the mobile terminal 700 as a whole. Optionally, the processor 760 may include one or more processing units.
在本发明实施例中，通过调用存储该第一存储器721内的软件程序和/或模块和/或该第二存储器722内的数据，处理器760用于当移动终端处于WIFI连接状态时，获取用户找回WIFI密码的请求；根据所述用户找回WIFI密码的请求，采集待识别特征；基于预设的特征库，对所述待识别特征进行匹配识别；若匹配成功，则显示所述移动终端连接的WIFI的预置WIFI密码。In the embodiment of the present invention, by invoking and storing the software program and/or module in the first memory 721 and/or the data in the second memory 722, the processor 760 is used to acquire The user requests to retrieve the WIFI password; according to the user’s request to retrieve the WIFI password, the features to be identified are collected; based on the preset feature library, the features to be identified are matched and identified; if the matching is successful, the mobile The preset WIFI password of the WIFI connected to the terminal.
可选地，处理器760用于启动所述移动终端的摄像头，拍摄至少一张照片；提取拍摄的所述照片中的影像特征。Optionally, the processor 760 is configured to start the camera of the mobile terminal, take at least one photo; and extract image features in the taken photo.
可选地，处理器760用于启动所述移动终端的麦克风，采集一段音频；提取采集的所述音频中的声纹特征。Optionally, the processor 760 is configured to start a microphone of the mobile terminal to collect a piece of audio; and extract voiceprint features in the collected audio.
可选地，处理器760用于分别计算所述预设的特征库中的多组模板特征与所述待识别特征的相似度。Optionally, the processor 760 is configured to separately calculate the similarity between multiple sets of template features in the preset feature library and the feature to be identified.
可选地，处理器760用于按照如下方式确定匹配成功：若至少两组所述模板特征与所述待识别特征的相似度超过预设阈值，则确定匹配成功。Optionally, the processor 760 is configured to determine that the matching is successful in the following manner: if the similarity between at least two groups of the template features and the features to be identified exceeds a preset threshold, it is determined that the matching is successful.
可选地，所述影像特征至少包括：人脸特征或特定物品特征。Optionally, the image features at least include: human face features or specific item features.
可见，通过本实施例的移动终端，解决了现有技术中用户忘记WIFI密码时，只能重新设置路由器，重新设置密码导致的操作复杂的问题。通过采用特征识别找回WIFI密码，不仅安全性高，且不需要记忆，操作方便。It can be seen that the mobile terminal of this embodiment solves the problem in the prior art that when the user forgets the WIFI password, he has to reset the router and the complicated operation caused by resetting the password. Retrieving the WIFI password by using feature recognition is not only highly secure, but also requires no memory and is easy to operate.
本领域普通技术人员可以意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本发明的范围。Those skilled in the art can appreciate that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed by hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present invention.
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的移动终端的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。Those skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the mobile terminal described above can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.
在本申请所提供的实施例中，应该理解到，所揭露的装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。In the embodiments provided in this application, it should be understood that the disclosed devices and methods may be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or May be integrated into another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
另外，在本发明各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit.
所述功能如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本发明的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本发明各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、ROM、RAM、磁碟或者光盘等各种可以存储程序代码的介质。If the functions described above are realized in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media capable of storing program codes such as U disk, mobile hard disk, ROM, RAM, magnetic disk or optical disk.
以上所述，仅为本发明的具体实施方式，但本发明的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本发明揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本发明的保护范围之内。因此，本发明的保护范围应以权利要求的保护范围为准。The above is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Anyone skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present invention. Should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.
本说明书中的各个实施例均采用递进的方式描述，每个实施例重点说明的都是与其他实施例的不同之处，各个实施例之间相同相似的部分互相参见即可。对于移动终端实施例而言，由于其与方法实施例基本相似，所以描述的比较简单，相关之处参见方法实施例的部分说明即可。Each embodiment in this specification is described in a progressive manner, each embodiment focuses on the difference from other embodiments, and the same and similar parts of each embodiment can be referred to each other. As for the mobile terminal embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and for relevant parts, refer to the part of the description of the method embodiment.
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610867605.XACN106529403B (en) | 2016-09-29 | 2016-09-29 | A method and mobile terminal for retrieving WIFI password based on feature recognition |
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610867605.XACN106529403B (en) | 2016-09-29 | 2016-09-29 | A method and mobile terminal for retrieving WIFI password based on feature recognition |
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| CN106529403Atrue CN106529403A (en) | 2017-03-22 |
| CN106529403B CN106529403B (en) | 2019-11-19 |
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| CN201610867605.XAActiveCN106529403B (en) | 2016-09-29 | 2016-09-29 | A method and mobile terminal for retrieving WIFI password based on feature recognition |
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