技术领域technical field
本发明属于可穿戴式设备技术领域，尤其涉及可穿戴式设备的身份识别方法、装置及可穿戴式设备。The invention belongs to the technical field of wearable devices, and in particular relates to an identification method and device for wearable devices and the wearable device.
背景技术Background technique
隐私安全是可穿戴式设备发展过程中的关键技术，可穿戴式设备携带各类传感器，这些传感器采集与用户相关的个性化隐私信息，例如，医疗健康数据、运动信息、爱好信息等。同时，随着移动互联技术的发展，信息泄密的概率与日递增，隐私信息传播带来的危害程度也不可估量。因此，穿戴式设备的信息隐私保护变得非常紧迫和非常有必要。隐私保护的一个重要手段是采用身份认证技术，身份认证是判断一个用户是否为合法用户的过程，用来防止攻击者假冒合法用户获取资源的访问权限，以保证信息系统和用户数据的安全。为了保证用户隐私安全，研究人员提出了各种生物识别技术来进行个人身份的认证，这些生物识别技术主要有虹膜识别、静脉识别以及人脸识别。Privacy security is a key technology in the development of wearable devices. Wearable devices carry various sensors that collect personalized privacy information related to users, such as medical and health data, sports information, and hobby information. At the same time, with the development of mobile Internet technology, the probability of information leakage is increasing day by day, and the degree of harm caused by the transmission of private information is immeasurable. Therefore, the information privacy protection of wearable devices has become very urgent and necessary. An important means of privacy protection is the use of identity authentication technology. Identity authentication is the process of judging whether a user is a legitimate user. It is used to prevent attackers from impersonating legitimate users to obtain access to resources, so as to ensure the security of information systems and user data. In order to ensure the privacy of users, researchers have proposed various biometric technologies to authenticate personal identities. These biometric technologies mainly include iris recognition, vein recognition and face recognition.
虹膜识别通过比较人眼图像中虹膜区域的特征参数完成身份认证。在虹膜识别中可提取的特征包括虹膜的颜色、形状和纹理，常用的虹膜识别算法包括小波变换、独立分量法、人工神经网络、融合算法、权重树等。首次使用时需要将用户的虹膜特征设置入库存储，后续通过将获取的访问者虹膜特征与存储的数据比较实现访问者的身份认证。然而，这些存储的数据本身也带来了被泄露的风险，另外，虹膜特征的获取设备比较复杂、成本昂贵，获取时与光照、角度等都密切相关，从而制约了虹膜识别在可穿戴式设备上的应用。Iris recognition completes identity authentication by comparing the characteristic parameters of the iris area in the human eye image. The features that can be extracted in iris recognition include iris color, shape and texture. Commonly used iris recognition algorithms include wavelet transform, independent component method, artificial neural network, fusion algorithm, weight tree, etc. When using it for the first time, it is necessary to set the user's iris characteristics into the database for storage, and then compare the obtained visitor's iris characteristics with the stored data to realize the identity authentication of the visitor. However, the stored data itself also brings the risk of being leaked. In addition, the equipment for obtaining iris features is relatively complicated and expensive, and the acquisition is closely related to illumination and angles, which restricts the application of iris recognition in wearable devices. on the application.
静脉识别是依据人类手指中流动的血液可吸收特定波长的光线，而使用特定波长光线对手指进行照射，可得到手指静脉的清晰图像，进而利用血管固有的纹路、直径等特征进行身份认证。静脉识别主要的研究方向包括形态梯度算子、自适应阈值、血管形态、曲波变换等。静脉识别由于采集方式受自身特点的限制，产品难以小型化，采集设备有特殊要求，设计相对复杂，制造成本高。Vein recognition is based on the fact that the blood flowing in the human finger can absorb light of a specific wavelength, and using light of a specific wavelength to irradiate the finger can obtain a clear image of the finger vein, and then use the inherent texture, diameter and other characteristics of the blood vessel for identity authentication. The main research directions of vein recognition include morphological gradient operator, adaptive threshold, vessel shape, curvelet transform, etc. Vein recognition is limited by its own characteristics due to the collection method, it is difficult to miniaturize the product, the collection equipment has special requirements, the design is relatively complicated, and the manufacturing cost is high.
人脸识别技术通过对面部特征和面部各部位之间的关系来进行身份识别，人脸识别主要采用的算法包括隐马尔科夫模型、局部特征统计学习，S-LNMF(Selective LocalNon-negative Matrix Factorization，邻域可选择性非负矩阵因子分解算法)、DCP(directional corner points，方向角点)算法等。可以看出，人脸识别需要复杂和大体积的硬件设备来采集和显示用户的脸部特征，这在很大程度上限制了人脸识别技术在轻便的、小巧的可穿戴式设备上的应用。Face recognition technology recognizes the relationship between facial features and various parts of the face. The main algorithms used in face recognition include hidden Markov model, local feature statistical learning, S-LNMF (Selective Local Non-negative Matrix Factorization , neighborhood selective non-negative matrix factorization algorithm), DCP (directional corner points, direction corner point) algorithm, etc. It can be seen that face recognition requires complex and large-scale hardware devices to collect and display the user's facial features, which largely limits the application of face recognition technology on lightweight and compact wearable devices .
发明内容Contents of the invention
本发明的目的在于提供可穿戴式设备的身份识别方法、装置及可穿戴式设备，旨在解决由于现有技术无法提供一种有效的可穿戴式设备的用户身份识别方法，导致可穿戴式设备难以有效实现用户身份识别、可穿戴式设备中数据安全性降低的问题。The purpose of the present invention is to provide a wearable device identification method, device and wearable device, aiming to solve the problem of wearable device identification due to the inability of the prior art to provide an effective wearable device user identification method. It is difficult to effectively realize user identification and reduce data security in wearable devices.
一方面，本发明提供了一种可穿戴式设备的身份识别方法，所述方法包括下述步骤：On the one hand, the present invention provides a kind of identification method of wearable device, and described method comprises the following steps:
检测可穿戴式设备是否受到用户手指的按压接触；Detect whether the wearable device is pressed by the user's finger;
当检测到所述手指可穿戴式设备受到所述用户手指的按压接触时，获取所述用户手指的指纹图像，并对所述用户手指进行生物电阻抗测量；When it is detected that the finger wearable device is pressed and contacted by the user's finger, acquire the fingerprint image of the user's finger, and perform bioelectrical impedance measurement on the user's finger;
通过所述指纹图像对所述用户手指的指纹进行指纹识别；performing fingerprint identification on the fingerprint of the user's finger through the fingerprint image;
当所述用户手指的指纹匹配成功、且所述生物电阻抗测量中的电阻抗匹配成功时，确定所述用户为合法用户。When the fingerprint matching of the user's finger is successful and the electrical impedance matching in the bioelectrical impedance measurement is successful, it is determined that the user is a legitimate user.
另一方面，本发明还提供了一种可穿戴式设备的身份识别装置，所述装置包括：On the other hand, the present invention also provides an identification device for a wearable device, the device comprising:
按压检测单元，用于检测可穿戴式设备是否受到用户手指的按压接触；The press detection unit is used to detect whether the wearable device is pressed by the user's finger;
测量单元，用于当检测到所述手指可穿戴式设备受到所述用户手指的按压接触时，获取所述用户手指的指纹图像，并对所述用户手指进行生物电阻抗测量；A measuring unit, configured to acquire a fingerprint image of the user's finger when detecting that the finger wearable device is pressed and contacted by the user's finger, and perform bioelectrical impedance measurement on the user's finger;
指纹识别单元，用于通过所述指纹图像对所述用户手指的指纹进行指纹识别；以及a fingerprint recognition unit, configured to perform fingerprint recognition on the fingerprint of the user's finger through the fingerprint image; and
鉴权单元，用于当所述用户手指的指纹匹配成功、且所述生物电阻抗测量中的电阻抗匹配成功时，确定所述用户为合法用户。An authentication unit, configured to determine that the user is a legitimate user when the fingerprint of the user's finger is successfully matched and the electrical impedance in the bioelectrical impedance measurement is successfully matched.
另一方面，本发明还提供了一种可穿戴式设备，所述可穿戴式设备包括压力传感器、指纹传感器、电极对以及微处理器，其中：On the other hand, the present invention also provides a wearable device, the wearable device includes a pressure sensor, a fingerprint sensor, an electrode pair and a microprocessor, wherein:
所述压力传感器检测可穿戴式设备是否受到用户手指的按压接触；The pressure sensor detects whether the wearable device is pressed by the user's finger;
当检测到所述可穿戴式设备受到所述用户手指的按压接触时，所述微处理器启动所述指纹传感器对所述用户手指进行扫描，以得到所述用户手指的指纹图像；When detecting that the wearable device is pressed and contacted by the user's finger, the microprocessor starts the fingerprint sensor to scan the user's finger to obtain a fingerprint image of the user's finger;
所述电极对中的电极向所述用户手指输送交流测量电流或电压，所述电极对对所述可穿戴式设备中电极对之间的生物电阻抗进行测量；An electrode in the electrode pair transmits an AC measurement current or voltage to the user's finger, and the electrode pair measures the bioelectrical impedance between the electrode pair in the wearable device;
所述微处理器通过所述指纹图像对所述用户手指的指纹进行指纹识别，当所述用户手指的指纹匹配成功、且所述生物电阻抗测量中的电阻抗匹配成功时，确定所述用户为合法用户。The microprocessor performs fingerprint recognition on the fingerprint of the user's finger through the fingerprint image, and when the fingerprint of the user's finger is successfully matched and the electrical impedance in the bioelectrical impedance measurement is successfully matched, it is determined that the user for legitimate users.
本发明在检测到可穿戴式设备受到用户手指的按压接触时，获取用户手指的指纹图像，并对用户手指进行生物电阻抗测量，通过指纹图像对用户手指的指纹进行指纹识别，当用户手指的指纹匹配成功、且生物电阻抗测量中的电阻抗匹配成功时，确定用户为合法用户，从而在指纹识别的基础上结合生物电阻抗信息的活体检测对用户身份进行识别，进一步提高了可穿戴式设备中的隐私数据安全，并且本发明专门针对可穿戴式设备，能较好地适用于可穿戴式设备体积小巧的特征。When the present invention detects that the wearable device is pressed and contacted by the user's finger, it acquires the fingerprint image of the user's finger, measures the bioelectrical impedance of the user's finger, and performs fingerprint recognition on the fingerprint of the user's finger through the fingerprint image. When the fingerprint matching is successful and the electrical impedance matching in the bioelectrical impedance measurement is successful, the user is determined to be a legitimate user, so that the user's identity can be identified on the basis of fingerprint identification combined with bioelectrical impedance information biometric detection, which further improves wearable The private data in the device is safe, and the present invention is specially aimed at the wearable device, and can be better adapted to the small size of the wearable device.
附图说明Description of drawings
图1是本发明实施例一提供的可穿戴式设备的身份识别方法的实现流程图；FIG. 1 is a flow chart of the implementation of the identity recognition method for a wearable device provided in Embodiment 1 of the present invention;
图2是本发明实施例二提供的可穿戴式设备的身份识别方法的实现流程图；Fig. 2 is a flow chart of the realization of the identity recognition method of the wearable device provided by the second embodiment of the present invention;
图3是本发明实施例三提供的可穿戴式设备的身份识别装置的结构示意图；FIG. 3 is a schematic structural diagram of an identity recognition device for a wearable device provided in Embodiment 3 of the present invention;
图4是本发明实施例四提供的可穿戴式设备的身份识别装置的结构示意图；以及FIG. 4 is a schematic structural diagram of an identification device for a wearable device provided in Embodiment 4 of the present invention; and
图5是本发明实施例五提供的可穿戴式设备的结构示意图。FIG. 5 is a schematic structural diagram of a wearable device provided by Embodiment 5 of the present invention.
具体实施方式detailed description
为了使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本发明进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
以下结合具体实施例对本发明的具体实现进行详细描述：The specific realization of the present invention is described in detail below in conjunction with specific embodiment:
实施例一：Embodiment one:
图1示出了本发明实施例一提供的可穿戴式设备的身份识别方法的实现流程，为了便于说明，仅示出了与本发明实施例相关的部分，详述如下：Figure 1 shows the implementation process of the identity recognition method for wearable devices provided by Embodiment 1 of the present invention. For the convenience of description, only the parts related to the embodiment of the present invention are shown, and the details are as follows:
在步骤S101中，检测可穿戴式设备是否受到用户手指的按压接触。In step S101, it is detected whether the wearable device is pressed by a user's finger.
本发明实施例适用于智能手环、智能手表等可穿戴式设备，这些可穿戴式设备中设置多种传感器，以用于监测用户身体状态数据，这些身体状态数据涉及到用户隐私，例如，用户的各种身体体征信息，如心率、运动数据、睡眠监测数据等。当其他设备或系统请求访问本发明实施例中的可穿戴式设备时，通过本发明实施例对请求访问的用户进行身份认证，以实现对可穿戴式设备中数据的访问控制，提高可穿戴式设备中数据的安全性。The embodiments of the present invention are applicable to wearable devices such as smart bracelets and smart watches. Various sensors are set in these wearable devices to monitor the user's physical state data. These physical state data are related to user privacy. For example, user Various physical signs information, such as heart rate, exercise data, sleep monitoring data, etc. When other devices or systems request access to the wearable device in the embodiment of the present invention, the user who requests access is authenticated through the embodiment of the present invention, so as to realize access control to data in the wearable device and improve the wearable device. Security of data in the device.
具体地，在本发明实施例中，可通过在可穿戴式设备中设置压力传感器，以检测可穿戴式设备上是否受到用户手指的按压接触。Specifically, in the embodiment of the present invention, a pressure sensor may be provided in the wearable device to detect whether the wearable device is pressed by a user's finger.
在步骤S102中，当检测到可穿戴式设备受到用户手指的按压接触时，获取用户手指的指纹图像，并对用户手指进行生物电阻抗测量。In step S102, when it is detected that the wearable device is pressed by the user's finger, a fingerprint image of the user's finger is acquired, and a bioelectrical impedance measurement is performed on the user's finger.
在本发明实施例中，只有当检测到可穿戴式设备受到用户手指的按压接触时，才启动可穿戴式设备中的指纹传感器，从而有效延长可穿戴式设备中电池的使用寿命。通过指纹传感器对用户手指进行扫描，得到用户手指的指纹图像，同时，对用户手指进行生物电阻抗测量，生物电阻抗测量利用生物组织与器官的电特性及其变化规律提取与人体生理相关的生物医学信息，从而在对手指指纹进行识别时结合生物活体特征的检测。In the embodiment of the present invention, the fingerprint sensor in the wearable device is activated only when it is detected that the wearable device is pressed by the user's finger, thereby effectively prolonging the service life of the battery in the wearable device. Scan the user's finger through the fingerprint sensor to obtain the fingerprint image of the user's finger. At the same time, perform bioelectrical impedance measurement on the user's finger. Medical information, so as to combine the detection of biological living characteristics when identifying fingerprints.
在对用户手指进行生物电阻抗测量时，通过可穿戴式设备中的电极向用户手指输送交流测量电流或电压，检测可穿戴式设备中的电极对之间的生物电阻抗，从而在对用户手指进行扫描的同时，获取用户手指部位的生物电阻抗，从而将用户手指指纹和同一手指部位的生物电阻抗绑定。之后，将检测得到的生物电阻抗与预先存储的生物电阻抗进行比较，当检测得到的生物电阻抗与预先存储的生物电阻抗之间的差值位于预设范围内时，确定生物电阻抗测量中的电阻抗匹配成功。该差值的允许范围可根据可穿戴式设备中数据的安全级别或隐私级别进行设置，当可穿戴式设备中数据比较重要或安全级别、隐私级别较高，则该范围可设置为一较小的范围，优选地，可以设置为零，从而只有当生物电阻抗精确匹配时，才认为生物电阻抗测量中的电阻抗匹配成功，从而保证可穿戴式设备中隐私数据的安全性。当可穿戴式设备中数据重要性不高或隐私级别不高时，则该范围可设置为较大的范围。当检测得到的生物电阻抗与预先存储的生物电阻抗之间的差值不位于预设范围内时，确定生物电阻抗测量中的电阻抗匹配不成功。When measuring the bioelectrical impedance of the user's finger, the electrodes in the wearable device are used to transmit AC measurement current or voltage to the user's finger, and the bioelectrical impedance between the electrode pairs in the wearable device is detected, so as to measure the bioelectrical impedance of the user's finger. While scanning, the bioelectrical impedance of the user's finger is obtained, so as to bind the user's finger print with the bioelectrical impedance of the same finger. Afterwards, the detected bioelectrical impedance is compared with the prestored bioelectrical impedance, and when the difference between the detected bioelectrical impedance and the prestored bioelectrical impedance is within a preset range, the bioelectrical impedance measurement is determined. The electrical impedance matching in is successful. The allowable range of the difference can be set according to the security level or privacy level of the data in the wearable device. When the data in the wearable device is more important or the security level and privacy level are higher, the range can be set to a smaller value. The range of , preferably, can be set to zero, so that only when the bioelectrical impedance is precisely matched, the electrical impedance matching in the bioelectrical impedance measurement is considered successful, thereby ensuring the security of private data in the wearable device. When the importance of data in the wearable device is not high or the level of privacy is not high, the range can be set to a larger range. When the difference between the detected bioelectrical impedance and the prestored bioelectrical impedance is not within the preset range, it is determined that the electrical impedance matching in the bioelectrical impedance measurement is unsuccessful.
在步骤S103中，通过获取的指纹图像对用户手指的指纹进行指纹识别。In step S103, fingerprint recognition is performed on the fingerprint of the user's finger through the acquired fingerprint image.
在本发明实施例中，在得到指纹图像后，对指纹图像进行预处理，例如，图像质量检测、图像增强、指纹区域检测、指纹方向图和频率估算、图像二值化以及图像细化等，之后从预处理后的图像中获取指纹的脊线数据，进而提取用户指纹的特征，最后将提取的指纹特征与预先保存的指纹特征逐一匹配，判断是否为相同指纹。In the embodiment of the present invention, after the fingerprint image is obtained, the fingerprint image is preprocessed, for example, image quality inspection, image enhancement, fingerprint area detection, fingerprint orientation map and frequency estimation, image binarization, and image thinning, etc., Then the ridge line data of the fingerprint is obtained from the preprocessed image, and then the features of the user's fingerprint are extracted. Finally, the extracted fingerprint features are matched with the pre-saved fingerprint features one by one to determine whether they are the same fingerprint.
在步骤S104中，当用户手指的指纹匹配成功、且生物电阻抗测量中的电阻抗匹配成功时，确定用户为合法用户。In step S104, when the fingerprint of the user's finger is successfully matched and the electrical impedance in the bioelectrical impedance measurement is successfully matched, it is determined that the user is a legitimate user.
在本发明实施例中，只有在用户手指的指纹匹配成功、且生物电阻抗测量中的电阻抗匹配成功时，才确定用户为合法用户，从而在指纹识别的基础上结合生物电阻抗信息的活体检测对用户身份进行识别，进一步提高了可穿戴式设备中隐私数据的安全性和可靠性。In the embodiment of the present invention, only when the fingerprint matching of the user's finger is successful and the electrical impedance matching in the bioelectrical impedance measurement is successful, the user is determined to be a legitimate user, so that the living body with bioelectrical impedance information is combined on the basis of fingerprint identification. The detection identifies the user identity, which further improves the security and reliability of private data in wearable devices.
实施例二：Embodiment two:
图2示出了本发明实施例二提供的可穿戴式设备的身份识别方法的实现流程，为了便于说明，仅示出了与本发明实施例相关的部分。Fig. 2 shows the implementation process of the identity recognition method for a wearable device provided by Embodiment 2 of the present invention. For the convenience of description, only the parts related to the embodiment of the present invention are shown.
本发明实施例适用于智能手环、智能手表等可穿戴式设备，这些可穿戴式设备中设置多种传感器，以用于监测用户身体状态数据，这些身体状态数据涉及到用户隐私，例如，心率、运动数据、睡眠监测数据等。当其他设备或系统请求访问本发明实施例中的可穿戴式设备时，通过本发明实施例对请求访问的用户进行身份认证，以实现对可穿戴式设备中数据的访问控制，提高可穿戴式设备中数据的安全性。The embodiments of the present invention are applicable to wearable devices such as smart bracelets and smart watches. Various sensors are set in these wearable devices to monitor the user's physical state data. These physical state data are related to user privacy, such as heart rate , sports data, sleep monitoring data, etc. When other devices or systems request access to the wearable device in the embodiment of the present invention, the user who requests access is authenticated through the embodiment of the present invention, so as to realize access control to data in the wearable device and improve the wearable device. Security of data in the device.
下面对本发明实施例进行描述，详述如下：Embodiments of the present invention are described below, and the details are as follows:
在步骤S201中，获取用户手指的指纹特征，并将指纹特征存储到可穿戴式设备中。In step S201, the fingerprint feature of the user's finger is acquired, and the fingerprint feature is stored in the wearable device.
在本发明实施例中，为了便于后续对合法用户或有权访问该可穿戴式设备中数据的用户进行指纹识别，应预先获取这些用户的手指指纹特征，并将指纹特征存储到可穿戴式设备中。优选地，可录入用户多个手指的指纹并存储，以便后续用户根据应用场景选择对应的手指进行指纹识别，从而提高可穿戴式设备的人性化。In the embodiment of the present invention, in order to facilitate subsequent fingerprint identification of legal users or users who have the right to access data in the wearable device, the fingerprint characteristics of these users should be obtained in advance, and the fingerprint characteristics should be stored in the wearable device middle. Preferably, the fingerprints of the user's multiple fingers can be entered and stored, so that the subsequent user can select the corresponding finger for fingerprint recognition according to the application scenario, thereby improving the humanization of the wearable device.
在步骤S202中，对用户手指进行生物电阻抗测量，将测量得到的生物电阻抗存储到可穿戴式设备中。In step S202, the bioelectrical impedance is measured on the user's finger, and the measured bioelectrical impedance is stored in the wearable device.
同样，为了便于后续对合法用户或有权访问该可穿戴式设备中数据的用户进行生物电阻抗测量，应预先获取录入指纹的用户手指的生物电阻抗，并将生物电阻抗存储到可穿戴式设备中。这样，可实现后续对用户手指指纹和生物电阻抗的准确检测或匹配。优选地，在存储指纹特征和生物电阻抗时，将同一手指的指纹特征和生物电阻抗进行关联存储，以提高请求访问可穿戴式设备中数据的用户身份识别的速度。Similarly, in order to facilitate the subsequent bioelectrical impedance measurement of legal users or users who have the right to access the data in the wearable device, the bioelectrical impedance of the user's finger that has entered the fingerprint should be obtained in advance, and the bioelectrical impedance should be stored in the wearable device. in the device. In this way, subsequent accurate detection or matching of the user's fingerprint and bioelectrical impedance can be achieved. Preferably, when storing the fingerprint feature and the bioelectrical impedance, the fingerprint feature and the bioelectrical impedance of the same finger are stored associatively, so as to improve the identification speed of the user who requests to access the data in the wearable device.
在步骤S203中，对可穿戴式设备上的用户手指的按压接触进行检测。具体地，可在可穿戴式设备中设置压力传感器，以检测可穿戴式设备上是否受到用户手指的按压接触。In step S203, the pressing contact of the user's finger on the wearable device is detected. Specifically, a pressure sensor may be provided in the wearable device to detect whether the wearable device is pressed by a user's finger.
在步骤S204中，判断是否检测到用户手指的按压接触，是则执行步骤S205、S208，否则执行步骤S203。In step S204, it is determined whether the pressing contact of the user's finger is detected, if yes, execute steps S205 and S208, otherwise execute step S203.
在本发明实施例中，当可穿戴式设备检测到用户手指的按压接触时，判断是否检测到用户手指的按压接触。同时，对用户手指进行生物电阻抗测量，生物电阻抗测量利用生物组织与器官的电特性及其变化规律提取与人体生理相关的生物医学信息，从而在对手指指纹进行识别时结合生物活体特征。在具体实施中，步骤S205和S208可同步执行，也可依次执行，优选地，步骤S205和S208同步执行，以提高用户身份认证的效率。In the embodiment of the present invention, when the wearable device detects the pressing contact of the user's finger, it is determined whether the pressing contact of the user's finger is detected. At the same time, the bioelectrical impedance measurement is performed on the user's finger. The bioelectrical impedance measurement uses the electrical characteristics of biological tissues and organs and their changing laws to extract biomedical information related to human physiology, so as to combine biological characteristics when identifying finger fingerprints. In a specific implementation, steps S205 and S208 can be executed synchronously or sequentially. Preferably, steps S205 and S208 are executed synchronously to improve the efficiency of user identity authentication.
在步骤S205中，获取用户手指的指纹图像。In step S205, a fingerprint image of the user's finger is acquired.
在本发明实施例中，只有在检测到可穿戴式设备受到用户手指的按压接触时，才启动可穿戴式设备中的指纹传感器对用户手指进行扫描，以得到用户手指的指纹图像，从而有效减少指纹图像获取过程中可穿戴式设备的电能消耗。In the embodiment of the present invention, only when it is detected that the wearable device is pressed and contacted by the user's finger, the fingerprint sensor in the wearable device is started to scan the user's finger to obtain the fingerprint image of the user's finger, thereby effectively reducing Power consumption of wearable devices during fingerprint image acquisition.
在步骤S206中，通过获取的指纹图像对用户手指的指纹进行指纹识别。In step S206, fingerprint recognition is performed on the fingerprint of the user's finger through the acquired fingerprint image.
在本发明实施例中，在得到指纹图像后，对指纹图像进行预处理，例如，图像质量检测、图像增强、指纹区域检测、指纹方向图和频率估算、图像二值化以及图像细化等，之后从预处理后的图像中获取指纹的脊线数据，进而提取用户指纹的特征，最后将提取的指纹特征与预先保存的指纹特征逐一匹配，判断是否为相同指纹，以实现指纹识别。In the embodiment of the present invention, after the fingerprint image is obtained, the fingerprint image is preprocessed, for example, image quality inspection, image enhancement, fingerprint area detection, fingerprint orientation map and frequency estimation, image binarization, and image thinning, etc., Afterwards, the ridge line data of the fingerprint is obtained from the preprocessed image, and then the features of the user's fingerprint are extracted. Finally, the extracted fingerprint features are matched with the pre-saved fingerprint features one by one to determine whether they are the same fingerprint, so as to realize fingerprint identification.
在步骤S207中，判断用户手指的指纹是否匹配成功，是则执行步骤S210，否则执行步骤S211。In step S207, it is judged whether the fingerprint of the user's finger is successfully matched, if yes, step S210 is executed, otherwise, step S211 is executed.
在步骤S208中，对用户手指进行生物电阻抗测量。In step S208, bioelectrical impedance measurement is performed on the user's finger.
在本发明实施例中，通过可穿戴式设备中的电极向用户手指输送交流测量电流或电压，检测可穿戴式设备中的电极对之间的生物电阻抗，从而在对用户手指进行扫描的同时，获取用户手指部位的生物电阻抗，从而将用户手指指纹和同一手指部位的生物电阻抗绑定。之后，将检测得到的生物电阻抗与预先存储的生物电阻抗进行比较，当检测得到的生物电阻抗与预先存储的生物电阻抗之间的差值位于预设范围内时，确定生物电阻抗测量中的电阻抗匹配成功。该差值的允许范围可根据可穿戴式设备中数据的安全级别或隐私级别进行设置，当可穿戴式设备中数据比较重要或安全级别、隐私级别较高，则该范围可设置为一较小的范围，优选地，可以设置为零，从而只有当生物电阻抗精确匹配时，才认为生物电阻抗测量中的电阻抗匹配成功，从而保证可穿戴式设备中隐私数据的安全性。当可穿戴式设备中数据重要性不高或隐私级别不高时，则该范围可设置为较大的范围。In the embodiment of the present invention, the electrodes in the wearable device are used to transmit AC measurement current or voltage to the user's finger, and the bioelectrical impedance between the electrode pairs in the wearable device is detected, so that while scanning the user's finger, , to obtain the bioelectrical impedance of the finger of the user, so as to bind the fingerprint of the user's finger with the bioelectrical impedance of the same finger. Afterwards, the detected bioelectrical impedance is compared with the prestored bioelectrical impedance, and when the difference between the detected bioelectrical impedance and the prestored bioelectrical impedance is within a preset range, the bioelectrical impedance measurement is determined. The electrical impedance matching in is successful. The allowable range of the difference can be set according to the security level or privacy level of the data in the wearable device. When the data in the wearable device is more important or the security level and privacy level are higher, the range can be set to a smaller value. The range of , preferably, can be set to zero, so that only when the bioelectrical impedance is precisely matched, the electrical impedance matching in the bioelectrical impedance measurement is considered successful, thereby ensuring the security of private data in the wearable device. When the importance of data in the wearable device is not high or the level of privacy is not high, the range can be set to a larger range.
在步骤S209中，判断测量得到的电阻抗是否匹配成功，是则执行步骤S210，否则执行步骤S211。In step S209, it is judged whether the measured electrical impedance matches successfully, if yes, step S210 is executed, otherwise, step S211 is executed.
在步骤S210中，当用户手指的指纹匹配成功、且生物电阻抗测量中的电阻抗匹配成功时，确定用户为合法用户。In step S210, when the fingerprint of the user's finger is successfully matched and the electrical impedance in the bioelectrical impedance measurement is successfully matched, it is determined that the user is a legitimate user.
在本发明实施例中，只有在用户手指的指纹匹配成功、且生物电阻抗测量中的电阻抗匹配成功时，才确定用户为合法用户，从而在指纹识别的基础上结合生物电阻抗信息的活体检测对用户身份进行识别，进一步提高了可穿戴式设备中隐私数据的安全性与可靠性。In the embodiment of the present invention, only when the fingerprint matching of the user's finger is successful and the electrical impedance matching in the bioelectrical impedance measurement is successful, the user is determined to be a legitimate user, so that the living body with bioelectrical impedance information is combined on the basis of fingerprint identification. The detection identifies the user identity, which further improves the security and reliability of private data in wearable devices.
在步骤S211中，当用户手指的指纹匹配不成功、和/或生物电阻抗测量中的电阻抗匹配不成功时，确定用户为非法用户。In step S211, when the fingerprint matching of the user's finger is unsuccessful, and/or the electrical impedance matching in the bioelectrical impedance measurement is unsuccessful, it is determined that the user is an illegal user.
在本发明实施例中，只要用户手指的指纹匹配不成功、和/或生物电阻抗测量中的电阻抗匹配不成功时，即确定用户为非法用户，从而可拒绝这类用户对可穿戴式设备中隐私数据的访问，提高了可穿戴式设备中隐私数据的安全性与可靠性。In the embodiment of the present invention, as long as the fingerprint matching of the user's finger is unsuccessful, and/or the electrical impedance matching in the bioelectrical impedance measurement is unsuccessful, it is determined that the user is an illegal user, so that such users can be denied access to the wearable device. Access to private data in wearable devices improves the security and reliability of private data in wearable devices.
本领域普通技术人员可以理解实现上述实施例方法中的全部或部分步骤是可以通过程序来指令相关的硬件来完成，所述的程序可以存储于一计算机可读取存储介质中，所述的存储介质，如ROM/RAM、磁盘、光盘等。Those of ordinary skill in the art can understand that all or part of the steps in the method of the above-mentioned embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage Media such as ROM/RAM, magnetic disk, optical disk, etc.
实施例三：Embodiment three:
图3示出了本发明实施例三提供的可穿戴式设备的身份识别装置的结构，为了便于说明，仅示出了与本发明实施例相关的部分，其中包括：Fig. 3 shows the structure of the identification device of the wearable device provided by the third embodiment of the present invention. For the convenience of description, only the parts related to the embodiment of the present invention are shown, including:
按压检测单元31，用于检测可穿戴式设备是否受到用户手指的按压接触；The press detection unit 31 is used to detect whether the wearable device is pressed by the user's finger;
测量单元32，用于当检测到可穿戴式设备受到用户手指的按压接触时，获取用户手指的指纹图像，并对用户手指进行生物电阻抗测量；The measuring unit 32 is used to obtain the fingerprint image of the user's finger when it is detected that the wearable device is pressed and contacted by the user's finger, and perform bioelectrical impedance measurement on the user's finger;
指纹识别单元33，用于通过获取的指纹图像对用户手指的指纹进行指纹识别；以及A fingerprint identification unit 33, configured to perform fingerprint identification on the fingerprint of the user's finger through the acquired fingerprint image; and
鉴权单元34，用于当用户手指的指纹匹配成功、且生物电阻抗测量中的电阻抗匹配成功时，确定用户为合法用户。The authentication unit 34 is configured to determine that the user is a legitimate user when the fingerprint of the user's finger is successfully matched and the electrical impedance in the bioelectrical impedance measurement is successfully matched.
在本发明实施例中，该身份识别装置的各单元可由相应的硬件或软件单元实现，各单元可以为独立的软、硬件单元，也可以集成为一个软、硬件单元，在此不用以限制本发明。各单元的具体实施方式可参考实施例一的描述，在此不再赘述。In the embodiment of the present invention, each unit of the identity recognition device can be realized by corresponding hardware or software unit, and each unit can be an independent software and hardware unit, or can be integrated into a software and hardware unit, which is not intended to limit this invention. For the specific implementation manner of each unit, reference may be made to the description of Embodiment 1, and details are not repeated here.
实施例四：Embodiment four:
图4示出了本发明实施例四提供的可穿戴式设备的身份识别装置的结构，为了便于说明，仅示出了与本发明实施例相关的部分，其中包括：Fig. 4 shows the structure of the identification device of the wearable device provided by Embodiment 4 of the present invention. For the convenience of description, only the parts related to the embodiment of the present invention are shown, including:
指纹存储单元41，用于获取用户手指的指纹特征，并将指纹特征存储到可穿戴式设备中；The fingerprint storage unit 41 is used to obtain the fingerprint feature of the user's finger, and store the fingerprint feature in the wearable device;
阻抗存储单元42，用于对用户手指进行生物电阻抗测量，将测量得到的生物电阻抗存储到可穿戴式设备中；The impedance storage unit 42 is used to measure the bioelectrical impedance of the user's finger, and store the measured bioelectrical impedance in the wearable device;
按压检测单元43，用于检测可穿戴式设备是否受到用户手指的按压接触；The press detection unit 43 is used to detect whether the wearable device is pressed by the user's finger;
测量单元44，用于当检测到可穿戴式设备受到用户手指的按压接触时，获取用户手指的指纹图像，并对用户手指进行生物电阻抗测量；The measuring unit 44 is used to obtain the fingerprint image of the user's finger when it is detected that the wearable device is pressed and contacted by the user's finger, and perform bioelectrical impedance measurement on the user's finger;
指纹识别单元45，用于通过指纹图像对用户手指的指纹进行指纹识别；以及A fingerprint identification unit 45, configured to perform fingerprint identification on the fingerprint of the user's finger through the fingerprint image; and
鉴权单元46，用于当用户手指的指纹匹配成功、且生物电阻抗测量中的电阻抗匹配成功时，确定用户为合法用户。The authenticating unit 46 is configured to determine that the user is a legitimate user when the fingerprint of the user's finger is successfully matched and the electrical impedance in the bioelectrical impedance measurement is successfully matched.
优选地，测量单元44包括：Preferably, the measuring unit 44 includes:
指纹扫描单元441，用于启动可穿戴式设备中的指纹传感器，通过指纹传感器对用户手指进行扫描，以得到用户手指的指纹图像。The fingerprint scanning unit 441 is configured to activate the fingerprint sensor in the wearable device, and scan the user's finger through the fingerprint sensor to obtain a fingerprint image of the user's finger.
电阻抗检测单元442，用于通过可穿戴式设备中的电极向用户手指输送交流测量电流或电压，检测可穿戴式设备中的电极对之间的生物电阻抗；The electrical impedance detection unit 442 is used to transmit AC measurement current or voltage to the user's finger through the electrodes in the wearable device, and detect the bioelectrical impedance between the electrode pairs in the wearable device;
电阻抗比较单元443，用于将检测得到的生物电阻抗与预先存储的生物电阻抗进行比较；以及An electrical impedance comparison unit 443, configured to compare the detected bioelectrical impedance with the prestored bioelectrical impedance; and
匹配确定单元444，用于当检测得到的生物电阻抗与预先存储的生物电阻抗之间的差值位于预设范围内时，确定生物电阻抗测量中的电阻抗匹配成功。The matching determination unit 444 is configured to determine that the electrical impedance matching in the bioelectrical impedance measurement is successful when the difference between the detected bioelectrical impedance and the prestored bioelectrical impedance is within a preset range.
在本发明实施例中，该身份识别装置的各单元可由相应的硬件或软件单元实现，各单元可以为独立的软、硬件单元，也可以集成为一个软、硬件单元，在此不用以限制本发明。各单元的具体实施方式可参考实施例一、二的描述，在此不再赘述。In the embodiment of the present invention, each unit of the identity recognition device can be realized by corresponding hardware or software unit, and each unit can be an independent software and hardware unit, or can be integrated into a software and hardware unit, which is not intended to limit this invention. For the specific implementation of each unit, reference may be made to the descriptions of Embodiments 1 and 2, and details are not repeated here.
实施例五：Embodiment five:
图5示出了本发明实施例五提供的可穿戴式设备的结构，为了便于说明，仅示出了与本发明实施例相关的部分。FIG. 5 shows the structure of the wearable device provided by Embodiment 5 of the present invention. For the convenience of description, only the parts related to the embodiment of the present invention are shown.
本发明实施例提供了一种可穿戴式设备5，该可穿戴式设备5包括微处理器51以及与微处理器51连接的压力传感器52、指纹传感器53以及电极对54。压力传感器52用于检测可穿戴式设备5是否受到用户手指的按压接触，当检测到可穿戴式设备5受到用户手指的按压接触时，微处理器51启动指纹传感器53对用户手指进行扫描，以得到用户手指的指纹图像，通过得到的指纹图像对用户手指的指纹进行指纹识别。同时，微处理器51可启动电极对54中的电极向用户手指输送交流测量电流或电压，之后对可穿戴式设备5中电极对54之间的生物电阻抗进行测量。当用户手指的指纹匹配成功、且生物电阻抗测量中的电阻抗匹配成功时，微处理器51确定用户为合法用户或输出的对应身份识别成功的信息。An embodiment of the present invention provides a wearable device 5 , which includes a microprocessor 51 , a pressure sensor 52 connected to the microprocessor 51 , a fingerprint sensor 53 and an electrode pair 54 . The pressure sensor 52 is used to detect whether the wearable device 5 is pressed by the user's finger. When it is detected that the wearable device 5 is pressed by the user's finger, the microprocessor 51 starts the fingerprint sensor 53 to scan the user's finger to A fingerprint image of the user's finger is obtained, and fingerprint recognition is performed on the fingerprint of the user's finger through the obtained fingerprint image. At the same time, the microprocessor 51 can start the electrodes in the electrode pair 54 to transmit AC measurement current or voltage to the user's finger, and then measure the bioelectrical impedance between the electrode pair 54 in the wearable device 5 . When the fingerprint of the user's finger is successfully matched and the electrical impedance in the bioelectrical impedance measurement is successfully matched, the microprocessor 51 determines that the user is a legitimate user or outputs corresponding information that the identification is successful.
在本发明实施例中，优选地，在得到指纹图像后，对指纹图像进行预处理，以提高后续指纹识别的成功率，例如，图像质量检测、图像增强、指纹区域检测、指纹方向图和频率估算、图像二值化以及图像细化等。之后从预处理后的图像中获取指纹的脊线数据，进而提取用户指纹的特征，最后将提取的指纹特征与预先保存的指纹特征逐一匹配，判断是否为相同指纹，实现指纹识别。In the embodiment of the present invention, preferably, after the fingerprint image is obtained, the fingerprint image is preprocessed to improve the success rate of subsequent fingerprint recognition, for example, image quality detection, image enhancement, fingerprint area detection, fingerprint orientation map and frequency Estimation, image binarization, and image refinement, etc. After that, the ridge line data of the fingerprint is obtained from the preprocessed image, and then the features of the user's fingerprint are extracted. Finally, the extracted fingerprint features are matched with the pre-saved fingerprint features one by one to judge whether they are the same fingerprint, and fingerprint recognition is realized.
在本发明实施例中，通过可穿戴式设备中的电极向用户手指输送交流测量电流或电压，微处理器51检测可穿戴式设备中的电极对之间的生物电阻抗，将检测得到的生物电阻抗与预先存储的生物电阻抗进行比较，当检测得到的生物电阻抗与预先存储的生物电阻抗之间的差值位于预设范围内时，确定生物电阻抗测量中的电阻抗匹配成功。该差值的允许范围可根据可穿戴式设备中数据的安全级别或隐私级别进行设置，当可穿戴式设备中数据比较重要或安全级别、隐私级别较高，则该范围可设置为一较小的范围，优选地，可以设置为零，从而只有当生物电阻抗精确匹配时，才认为生物电阻抗测量中的电阻抗匹配成功，从而保证可穿戴式设备中隐私数据的安全性。当可穿戴式设备中数据重要性不高或隐私级别不高时，则该范围可设置为较大的范围。In the embodiment of the present invention, the electrodes in the wearable device transmit AC measurement current or voltage to the user's finger, and the microprocessor 51 detects the bioelectrical impedance between the electrode pairs in the wearable device, and the detected biological The electrical impedance is compared with the pre-stored bio-electrical impedance, and when the difference between the detected bio-electrical impedance and the pre-stored bio-electrical impedance is within a preset range, it is determined that the electrical impedance matching in the bio-electrical impedance measurement is successful. The allowable range of the difference can be set according to the security level or privacy level of the data in the wearable device. When the data in the wearable device is more important or the security level and privacy level are higher, the range can be set to a smaller value. The range of , preferably, can be set to zero, so that only when the bioelectrical impedance is precisely matched, the electrical impedance matching in the bioelectrical impedance measurement is considered successful, thereby ensuring the security of private data in the wearable device. When the importance of data in the wearable device is not high or the level of privacy is not high, the range can be set to a larger range.
进一步地，可穿戴式设备5还可以包括存储器55，用于存储用户手指的指纹特征以及生物电阻抗。Further, the wearable device 5 may also include a memory 55 for storing fingerprint features and bioelectrical impedance of the user's finger.
本发明实施例的可穿戴式设备包括压力传感器、指纹传感器、电极对、微处理器以及存储器，从而在指纹识别的基础上结合生物电阻抗信息的活体检测对用户身份进行识别，进一步提高了可穿戴式设备中隐私数据的安全性与可靠性，并且各部件体积小，能较好地适用于或集成于可穿戴式设备中。The wearable device in the embodiment of the present invention includes a pressure sensor, a fingerprint sensor, an electrode pair, a microprocessor, and a memory, so as to identify the user's identity on the basis of fingerprint identification combined with bioelectrical impedance information biometric detection, which further improves the user's identity. The security and reliability of private data in wearable devices, and the small size of each component can be better suitable for or integrated in wearable devices.
以上所述仅为本发明的较佳实施例而已，并不用以限制本发明，凡在本发明的精神和原则之内所作的任何修改、等同替换和改进等，均应包含在本发明的保护范围之内。The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present invention should be included in the protection of the present invention. within range.
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611103894.2ACN106778168A (en) | 2016-12-05 | 2016-12-05 | The personal identification method of Wearable device, device and Wearable device |
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611103894.2ACN106778168A (en) | 2016-12-05 | 2016-12-05 | The personal identification method of Wearable device, device and Wearable device |
| Publication Number | Publication Date |
|---|---|
| CN106778168Atrue CN106778168A (en) | 2017-05-31 |
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611103894.2APendingCN106778168A (en) | 2016-12-05 | 2016-12-05 | The personal identification method of Wearable device, device and Wearable device |
| Country | Link |
|---|---|
| CN (1) | CN106778168A (en) |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107463826A (en)* | 2017-08-16 | 2017-12-12 | 联想(北京)有限公司 | A kind of data processing method and electronic equipment |
| CN108875663A (en)* | 2018-06-27 | 2018-11-23 | 河南省航丰智能科技有限公司 | A kind of method and apparatus of fingerprint recognition |
| CN109144172A (en)* | 2017-06-19 | 2019-01-04 | 韩国网络振兴院 | The wearable user authentication device of multi-mode type and method and computer readable recording medium |
| CN110693481A (en)* | 2018-06-25 | 2020-01-17 | 由昉信息科技（上海）有限公司 | Wear-type identity recognition device and recognition method |
| CN111599426A (en)* | 2020-04-28 | 2020-08-28 | 芯海科技（深圳）股份有限公司 | User identity identification method and device, electronic equipment and storage medium |
| CN114550225A (en)* | 2022-02-23 | 2022-05-27 | 东南大学 | Detection method for forced pressing of biological fingerprint |
| CN114880643A (en)* | 2022-05-19 | 2022-08-09 | 中国银行股份有限公司 | An identity verification method and system |
| CN116665255A (en)* | 2023-05-31 | 2023-08-29 | 昆山国显光电有限公司 | Display device, fingerprint identification method of display device and electronic equipment |
| CN119595710A (en)* | 2024-11-06 | 2025-03-11 | 清华大学 | Material quality multi-parameter detection method and device based on interdigital electrode sensor |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103829951A (en)* | 2012-11-27 | 2014-06-04 | 昆山冠强软件科技有限公司 | Intelligent certification device based on finger bio-impedance features |
| WO2015020465A1 (en)* | 2013-08-08 | 2015-02-12 | Samsung Electronics Co., Ltd. | Portable terminal, method of providing fingerprint input guide information of portable terminal, and nonvolatile recording medium for recording program for executing the method |
| CN104574086A (en)* | 2014-12-29 | 2015-04-29 | 宇龙计算机通信科技(深圳)有限公司 | Payment method, device and terminal |
| CN105022947A (en)* | 2015-07-28 | 2015-11-04 | 广东欧珀移动通信有限公司 | Fingerprint identification method for smartwatch and smartwatch |
| CN105184136A (en)* | 2015-09-08 | 2015-12-23 | 京东方科技集团股份有限公司 | Identity recognition method, device and system |
| CN105447371A (en)* | 2015-12-29 | 2016-03-30 | 深圳市亚略特生物识别科技有限公司 | Biological identity identification and verification terminal and electronic system |
| CN105468955A (en)* | 2015-12-28 | 2016-04-06 | 深圳市亚略特生物识别科技有限公司 | Mobile terminal and electronic system based on biological recognition |
| CN205281501U (en)* | 2015-12-29 | 2016-06-01 | 深圳市亚略特生物识别科技有限公司 | Terminal is verified in biological identification |
| CN105867545A (en)* | 2016-04-02 | 2016-08-17 | 伍海平 | Intelligent vein wearable bracelet |
| CN106127014A (en)* | 2016-08-31 | 2016-11-16 | 珠海市魅族科技有限公司 | A kind of biological information recognition method and terminal |
| CN106156589A (en)* | 2016-07-06 | 2016-11-23 | 上海与德通讯技术有限公司 | Wearable device, wearable device control method and the system thereof of terminal |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103829951A (en)* | 2012-11-27 | 2014-06-04 | 昆山冠强软件科技有限公司 | Intelligent certification device based on finger bio-impedance features |
| WO2015020465A1 (en)* | 2013-08-08 | 2015-02-12 | Samsung Electronics Co., Ltd. | Portable terminal, method of providing fingerprint input guide information of portable terminal, and nonvolatile recording medium for recording program for executing the method |
| CN104574086A (en)* | 2014-12-29 | 2015-04-29 | 宇龙计算机通信科技(深圳)有限公司 | Payment method, device and terminal |
| CN105022947A (en)* | 2015-07-28 | 2015-11-04 | 广东欧珀移动通信有限公司 | Fingerprint identification method for smartwatch and smartwatch |
| CN105184136A (en)* | 2015-09-08 | 2015-12-23 | 京东方科技集团股份有限公司 | Identity recognition method, device and system |
| CN105468955A (en)* | 2015-12-28 | 2016-04-06 | 深圳市亚略特生物识别科技有限公司 | Mobile terminal and electronic system based on biological recognition |
| CN105447371A (en)* | 2015-12-29 | 2016-03-30 | 深圳市亚略特生物识别科技有限公司 | Biological identity identification and verification terminal and electronic system |
| CN205281501U (en)* | 2015-12-29 | 2016-06-01 | 深圳市亚略特生物识别科技有限公司 | Terminal is verified in biological identification |
| CN105867545A (en)* | 2016-04-02 | 2016-08-17 | 伍海平 | Intelligent vein wearable bracelet |
| CN106156589A (en)* | 2016-07-06 | 2016-11-23 | 上海与德通讯技术有限公司 | Wearable device, wearable device control method and the system thereof of terminal |
| CN106127014A (en)* | 2016-08-31 | 2016-11-16 | 珠海市魅族科技有限公司 | A kind of biological information recognition method and terminal |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109144172A (en)* | 2017-06-19 | 2019-01-04 | 韩国网络振兴院 | The wearable user authentication device of multi-mode type and method and computer readable recording medium |
| CN107463826A (en)* | 2017-08-16 | 2017-12-12 | 联想(北京)有限公司 | A kind of data processing method and electronic equipment |
| CN110693481A (en)* | 2018-06-25 | 2020-01-17 | 由昉信息科技（上海）有限公司 | Wear-type identity recognition device and recognition method |
| CN108875663A (en)* | 2018-06-27 | 2018-11-23 | 河南省航丰智能科技有限公司 | A kind of method and apparatus of fingerprint recognition |
| CN111599426A (en)* | 2020-04-28 | 2020-08-28 | 芯海科技（深圳）股份有限公司 | User identity identification method and device, electronic equipment and storage medium |
| CN111599426B (en)* | 2020-04-28 | 2024-04-30 | 芯海科技（深圳）股份有限公司 | User identity recognition method, device, electronic equipment and storage medium |
| CN114550225A (en)* | 2022-02-23 | 2022-05-27 | 东南大学 | Detection method for forced pressing of biological fingerprint |
| CN114550225B (en)* | 2022-02-23 | 2024-07-16 | 东南大学 | Detection method for forced pressing of biological fingerprint |
| CN114880643A (en)* | 2022-05-19 | 2022-08-09 | 中国银行股份有限公司 | An identity verification method and system |
| CN116665255A (en)* | 2023-05-31 | 2023-08-29 | 昆山国显光电有限公司 | Display device, fingerprint identification method of display device and electronic equipment |
| CN119595710A (en)* | 2024-11-06 | 2025-03-11 | 清华大学 | Material quality multi-parameter detection method and device based on interdigital electrode sensor |
| Publication | Publication Date | Title |
|---|---|---|
| CN106778168A (en) | The personal identification method of Wearable device, device and Wearable device | |
| CN104573458B (en) | A kind of personal identification method based on electrocardiosignal, apparatus and system | |
| CN109858316A (en) | System and method for biometric identification | |
| WO2017113744A1 (en) | Fingerprint identifying method and fingerprint identification device | |
| US20140341440A1 (en) | Identity caddy: a tool for real-time determination of identity in the mobile environment | |
| CN104598870A (en) | Living fingerprint detection method based on intelligent mobile information equipment | |
| CN105868613A (en) | Biometric identification method, device and mobile terminal | |
| US11653873B2 (en) | Skin detection device and product information determination method, device and system | |
| CN102656601A (en) | Biometric identification and authentication system for financial accounts | |
| CN101196987A (en) | On-line palmprint, palm vein image identification method and its special acquisition device | |
| CN102542242B (en) | The biological characteristic area positioning method and device of contactless collection image | |
| CN204791017U (en) | Mobile terminal users authentication device based on many biological characteristics mode | |
| Adiraju et al. | An extensive survey on finger and palm vein recognition system | |
| US20160300094A1 (en) | Skin texture collection and identity recognition method and system | |
| CN105550878A (en) | Authorization request processing method and apparatus | |
| CN109255219A (en) | A kind of temperature sense unlocking method and system based on bio-identification terminal | |
| Ibrahim et al. | Performance analysis of biometric recognition modalities | |
| WO2018032599A1 (en) | Identity authentication method and device for wearable intelligent device | |
| CN111738076A (en) | A non-contact palmprint and palm vein identification method and device | |
| JP2019512786A (en) | Authorization authorization method, authorization device and authorization system | |
| KR20150138559A (en) | self-organized real-time authentication method using ECG signal | |
| TWM514042U (en) | System of using mixture of multiple physiological information for identity recognition | |
| WO2020073169A1 (en) | Biometric identification method and apparatus, and electronic device | |
| CN108594937B (en) | Portable terminal | |
| Swati et al. | Iris recognition using Gabor |
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | Application publication date:20170531 | |
| RJ01 | Rejection of invention patent application after publication |