The content of the invention
In view of this, it is used for the controlling party of the electronic equipment with full frame fingerprint recognition the embodiments of the invention provide a kind ofMethod and device, it is existing due to not making a distinction and judging that caused misoperation of touch screen rate is high to fingerprint and palmmprint to solveThe problem of.
First aspect present invention provides a kind of control method for being used to have the electronic equipment of full frame fingerprint recognition, bagInclude：Collection user carries out lines information during push action on the touchscreen；Whether judge the lines information is finger print information；When the lines information is not finger print information, ignore the push action.
By the way that the lines information gathered on touch-screen is made a distinction and judged, effectively prevent user palm part orOther object false touch screens and cause the maloperation to equipment, efficiently solve touching that screen is larger or hand of user is smallerIn the case of user's single hand operation of mobile phone when the problem of easily cause maloperation because of false touch screen.
With reference to first aspect present invention, in first aspect present invention first embodiment, when the lines information is fingerprintDuring information, the push action is responded.
Whether be finger print information by the lines information for judging to collect on touch-screen, determine whether response it is described byWork is pressed, misuse rate caused by non-finger touch screen is reduced.
With reference to first aspect present invention or first aspect first embodiment, first aspect present invention second embodimentIn, it is described to judge whether the lines information is finger print information, including：Lines shape is determined according to the lines information；JudgeWhether the lines shape meets preset shape；When the lines shape meets preset shape, judge the lines information asFinger print information.
Fingerprint shape is set according to the finger print information gathered in advance, the fingerprint shape includes different shape facilities, leads toCross and feature extraction is carried out to the lines information produced on screen, judged whether to meet preset shape according to feature, effectively reductionMisuse rate caused by non-finger touch screen.
With reference to first aspect present invention or first aspect first embodiment, the embodiment of first aspect present invention the 3rdIn, it is described to judge whether the lines information is finger print information, including：The lines information is inputted into neural network model, instituteNeural network model is stated to obtain using finger print information sample and non-finger print information sample training；The neural network modelWhether export the lines information is finger print information.
The neural network model obtained by using finger print information sample and non-finger print information sample training, to collectionLines information is judged whether the lines information that collection is exported by neural network model is finger print information, is effectively reduced non-Misuse rate caused by finger touch screen.
Second aspect of the present invention provides a kind of control device for being used to have the electronic equipment of full frame fingerprint recognition, bagInclude：Acquisition module, for gathering lines information when user carries out push action on the touchscreen；Judge module, for judgingWhether the lines information is finger print information；Processing module, it is described for when the lines information is not finger print information, ignoringPush action.
By the way that the lines information gathered on touch-screen is made a distinction and judged, effectively prevent user palm part orOther object false touch screens and cause the maloperation to equipment, efficiently solve touching that screen is larger or hand of user is smallerIn the case of user's single hand operation of mobile phone when the problem of easily cause maloperation because of false touch screen.
With reference to second aspect of the present invention, in second aspect of the present invention first embodiment, the processing module is additionally operable to：WhenWhen the lines information is finger print information, the push action is responded.
Whether be finger print information by the lines information for judging to collect on touch-screen, determine whether response it is described byWork is pressed, misuse rate caused by non-finger touch screen is reduced.
With reference to second aspect of the present invention or second aspect first embodiment, second aspect of the present invention second embodimentIn, the judge module includes：Lines shape determination sub-module, for determining lines shape according to the lines information；LinesShape judging submodule, for judging whether the lines shape meets preset shape；Lines information decision sub-module, for working asWhen the lines shape meets preset shape, judge the lines information as finger print information.
Fingerprint shape is set according to the finger print information gathered in advance, the fingerprint shape includes different shape facilities, leads toCross and feature extraction is carried out to the lines information produced on screen, judged whether to meet preset shape according to feature, effectively reductionMisuse rate caused by non-finger touch screen.
With reference to second aspect of the present invention or second aspect first embodiment, the embodiment of second aspect of the present invention the 3rdIn, the judge module includes：Input submodule, for the lines information to be inputted into neural network model, the nerve netNetwork model is obtained using finger print information sample and non-finger print information sample training；Output sub-module, for the nerveNetwork model exports whether the lines information is finger print information.
The neural network model obtained by using finger print information sample and non-finger print information sample training, to collectionLines information is judged whether the lines information that collection is exported by neural network model is finger print information, is effectively reduced non-Misuse rate caused by finger touch screen.
Third aspect present invention provides a kind of mobile terminal, including：At least one processor；And with described at least oneThe memory of individual processor communication connection；Wherein, have can be by the finger of at least one computing device for the memory storageOrder, the instruction is by least one described computing device, so that at least one described computing device following methods：Collection is usedFamily carries out lines information during push action on the touchscreen；Whether judge the lines information is finger print information；When the lineWhen road information is not finger print information, ignore the push action.
By the way that the lines information gathered on touch-screen is made a distinction and judged, effectively prevent user palm part orOther object false touch screens and cause the maloperation to equipment, efficiently solve touching that screen is larger or hand of user is smallerIn the case of user's single hand operation of mobile phone when the problem of easily cause maloperation because of false touch screen.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present inventionIn accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment isA part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those skilled in the art are not havingThere is the every other embodiment made and obtained under the premise of creative work, belong to the scope of protection of the invention.
As shown in figure 1, being the application scenarios schematic diagram of the embodiment of the present invention.
The control method provided in an embodiment of the present invention for being used for the electronic equipment with full frame fingerprint recognition can apply toThe electronic installation of multiple application programs is included, the electronic equipment has the touch-screen of full frame fingerprint recognition, such as mobile phone or flatThe mobile terminals such as plate computer.Electronic equipment provided in an embodiment of the present invention is by taking mobile phone as an example, the block diagram of the part-structure of mobile phone, such asShown in Fig. 1, mobile phone includes：Radio frequency (RadioFrequency, RF) circuit 110, memory 120, input block 130, display are singleMember 140, sensor 150, voicefrequency circuit 160, Wireless Fidelity (wirelessfidelity, WiFi) module 170, processor 180,And the grade part of power supply 190.It will be understood by those skilled in the art that the handset structure shown in Fig. 1 is not constituted to mobile phoneLimit, can include than illustrating more or less parts, either combine some parts or different parts arrangement.
Each component parts of mobile phone is specifically introduced with reference to Fig. 1：
RF circuits 110 can be used for receive and send messages or communication process in, the reception and transmission of signal, especially, by base stationAfter downlink information is received, handled to processor 180；In addition, being sent to base station by up data are designed.Generally, RF circuits 110Including but not limited to antenna, at least one amplifier, transceiver, coupler, low-noise amplifier(LowNoiseAmplifier, LNA), duplexer etc..In addition, RF circuits 110 can also pass through radio communication and network and otherEquipment communication.
Memory 120 can be used for storage software program and module, and processor 180 is stored in memory 120 by operationSoftware program and module, so as to perform various function application and the data processing of mobile phone.Memory 120 can mainly includeStoring program area and storage data field, wherein, the application journey that storing program area can be needed for storage program area, at least one functionSequence (such as sound-playing function, image player function etc.) etc.；Storage data field can be stored uses what is created according to mobile phoneData (such as voice data, phone directory etc.) etc..In addition, memory 120 can include high-speed random access memory, can be withIncluding nonvolatile memory, for example, at least one disk memory, flush memory device or other volatile solid-statesPart.
Input block 130 can be used for the numeral or character information for receiving input, and produce with the user of mobile phone set withAnd the relevant key signals input of function control.Specifically, input block 130 may include that contact panel 131 and other inputs are setStandby 132.Contact panel 131, also referred to as touch-screen, collecting touch operation of the user on or near it, (such as user usesThe operation of any suitable object such as finger, stylus or annex on contact panel 131 or near contact panel 131), and rootCorresponding attachment means are driven according to formula set in advance.Optionally, contact panel 131 may include touch detecting apparatus and touchTwo parts of controller.Wherein, touch detecting apparatus detects the touch orientation of user, and detects the signal that touch operation is brought,Transmit a signal to touch controller；Touch controller receives touch information from touch detecting apparatus, and is converted into touchingPoint coordinates, then give processor 180, and the order sent of reception processing device 180 and can be performed.Furthermore, it is possible to using electricityThe polytypes such as resistive, condenser type, infrared ray and surface acoustic wave realize contact panel 131.Except contact panel 131, inputUnit 130 can also include other input equipments 132.Specifically, other input equipments 132 can include but is not limited to secondary or physical bondOne or more in disk, function key (such as volume control button, switch key etc.), trace ball, mouse, action bars etc..
Display unit 140 can be used for the various of the information that is inputted by user of display or the information for being supplied to user and mobile phoneMenu.Display unit 140 may include display panel 141, optionally, can use liquid crystal display(LiquidCrystalDisplay, LCD), Organic Light Emitting Diode (OrganicLight-EmittingDiode, OLED) etc.Form configures display panel 141.Further, contact panel 131 can cover display panel 141, when contact panel 131 is detectedTo after the touch operation on or near it, processor 180 is sent to determine the type of touch event, with preprocessor 180Corresponding visual output is provided on display panel 141 according to the type of touch event.Although in Fig. 1, contact panel 131 withDisplay panel 141 is input and the input function that mobile phone is realized as two independent parts, but in certain embodiments,Can be by contact panel 131 and the input that is integrated and realizing mobile phone of display panel 141 and output function.
Mobile phone may also include at least one sensor 150, such as optical sensor, motion sensor and other sensors.Specifically, optical sensor may include ambient light sensor and proximity transducer, wherein, ambient light sensor can be according to ambient lightLight and shade adjust the brightness of display panel 141, proximity transducer can close display panel 141 when mobile phone is moved in one's earAnd/or backlight.As one kind of motion sensor, accelerometer sensor can detect in all directions (generally three axles) accelerationSize, size and the direction of gravity are can detect that when static, available for identification mobile phone posture application (such as horizontal/vertical screen is cutChange, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, tap) etc.；May be used also as mobile phoneThe other sensors such as gyroscope, barometer, hygrometer, thermometer, the infrared ray sensor of configuration, will not be repeated here.
Voicefrequency circuit 160, loudspeaker 161, microphone 162 can provide the COBBAIF between user and mobile phone.Audio-frequency electricElectric signal after the voice data received conversion can be transferred to loudspeaker 161, sound is converted to by loudspeaker 161 by road 160Signal output；On the other hand, the voice signal of collection is converted to electric signal by microphone 162, by voicefrequency circuit 160 receive after turnIt is changed to voice data, then after voice data output processor 180 is handled, through RF circuits 110 to be sent to such as another mobile phone,Or export voice data to memory 120 so as to further processing.
WiFi belongs to short range wireless transmission technology, and mobile phone can help user's transceiver electronicses postal by WiFi module 170Part, browse webpage and access streaming video etc., it has provided the user wireless broadband internet and accessed.
Processor 180 is the control centre of mobile phone, using various interfaces and the various pieces of connection whole mobile phone, is led toCross operation or perform and be stored in software program and/or module in memory 120, and call and be stored in memory 120Data, perform the various functions and processing data of mobile phone, so as to carry out integral monitoring to mobile phone.Optionally, processor 180 can be wrappedInclude one or more processing units；It is preferred that, processor 180 can integrated application processor and modem processor, wherein, shouldOperating system, user interface and application program etc. are mainly handled with processor, modem processor mainly handles radio communication.It is understood that above-mentioned modem processor can not also be integrated into processor 180.
Mobile phone also includes the power supply 190 (such as battery) powered to all parts, it is preferred that power supply can pass through power supply pipeReason system and processor 180 are logically contiguous, so as to realize management charging, electric discharge and power managed by power-supply management systemEtc. function.
Although not shown, mobile phone can also include camera, bluetooth module etc., will not be repeated here.
Refering to the electronic installation shown in Fig. 1, the embodiment of the present invention provides a kind of electronics for being used to have full frame fingerprint recognitionThe control method of equipment, memory 120 can be used for the software program and module of storage this method, and processor 180 passes through operationThe software program and module of memory 120 are stored in, so as to perform the control method.Its flow chart as shown in Fig. 2 including：
S201, collection user carries out lines information during push action on the touchscreen.Specifically, it can be set by electronicsThe push action of pressure sensor sensing on the touchscreen in standby touch-screen, and passed by the fingerprint in electronic device touchscreenSensor collection carries out lines information during push action on the touchscreen.The lines information can be that user sets for operation electronicsThe palmprint information that standby pressing finger print information or user's palm on the touchscreen is produced by false touch, or other skinsThe false touch at skin position and the lines information produced.
Whether S202, it is finger print information to judge the lines information.Specifically, by carrying out feature to the lines informationExtract, the feature can be the information such as the shape, length, angle of lines.Can be to whole features of the lines or partFeature is extracted, and the whole features or Partial Feature can reflect the main feature of the lines.The lines of extraction is specialThe shape facility levied with preset fingerprint is compared, when the patterned feature of the extraction and the shape facility of preset fingerprint are consistentWhen, judge the lines information as finger print information.
S203, when the lines information is not finger print information, ignores the push action.Specifically, by the line of extractionThe shape facility of road feature and preset fingerprint is compared, when the extraction patterned feature and preset fingerprint shape facility notWhen consistent, judge that the lines information is not finger print information, ignore the push action corresponding to the lines information of the extraction, i.e.,The push action is maloperation, without the response of push action.
By the way that the lines information gathered on touch-screen is made a distinction and judged, effectively prevent user palm part orOther object false touch screens and cause the maloperation to equipment, efficiently solve touching that screen is larger or hand of user is smallerIn the case of user's single hand operation of mobile phone when the problem of easily cause maloperation because of false touch screen.By judging to gather on touch-screenTo lines information whether be finger print information, determine whether to respond the push action, reduce non-finger touch screenCaused misuse rate.
Referring to Fig. 3, the embodiment of the present invention provides another control for being used to have the electronic equipment of full frame fingerprint recognitionMethod, the memory 120 shown in Fig. 1 can be used for the software program and module of storage this method, and processor 180 is deposited by operationThe software program and module in memory 120 are stored up, so as to perform the control method.This method includes：
S301, collection user carries out lines information during push action on the touchscreen.
S302, lines shape is determined according to the lines information.Specifically, feature can be carried out to the lines information to carryTake, patterned feature can be the information such as the shape, length, angle of lines.Preferably, to whole features of the lines or partFeature is extracted, and the whole features or Partial Feature can reflect the main feature of the lines.According to the lines of extractionFeature determines the shape of the lines.
S303, judges whether the lines shape meets preset shape.Specifically, by the patterned feature of extraction and default fingerThe shape facility of line is compared, when the patterned feature of the extraction is consistent with the shape facility of default fingerprint, judges instituteLines information is stated for finger print information.Preferably, according to the finger manipulation situation of touch-screen, fingerprint shape can be divided into three kinds：Annular, arch, spiral shape, regard these three fingerprint shapes as preset fingerprint shape.Wherein, the schematic diagram of annular fingerprint such as Fig. 6Shown, the schematic diagram of arch fingerprint is as shown in fig. 7, the schematic diagram of spiral shape fingerprint is as shown in Figure 8.By judging the lines shapeWhether shape is a kind of consistent with these three preset fingerprint shapes, that is, judges whether the lines shape meets preset shape.
S304, when the lines shape meets preset shape, judges the lines information as finger print information.Specifically,When a kind of consistent in the lines shape and annular, arch, spiral shape these three preset fingerprint shapes, the judgement linesInformation is finger print information.
S305, when the lines information is finger print information, responds the push action.
Fingerprint shape is set according to the finger print information gathered in advance, the fingerprint shape includes different shape facilities, leads toCross and feature extraction is carried out to the lines information produced on screen, judged whether to meet preset shape according to feature, effectively reductionMisuse rate caused by non-finger touch screen.
Referring to Fig. 4, the embodiment of the present invention provides another control for being used to have the electronic equipment of full frame fingerprint recognitionMethod, the memory 120 shown in Fig. 1 can be used for the software program and module of storage this method, and processor 180 is deposited by operationThe software program and module in memory 120 are stored up, so as to perform the control method.This method includes：
S401, collection user carries out lines information during push action on the touchscreen.
S402, neural network model is inputted by the lines information, and the neural network model is to utilize finger print information sampleWhat this and non-finger print information sample training were obtained.Specifically, choose it is a number of as shown in Fig. 6, Fig. 7 and Fig. 8 it is annular,Arch and spiral fingerprint are used as finger print information sample；Correspondingly, can also be according to the actual use situation of electronic equipment, choosingThe higher skin lines information of a number of screen false touch rate or other lines information are taken, non-finger print information sample is used as.WillThe finger print information sample and the non-finger print information sample input neural network model, complete the instruction to neural network modelPractice, so that the neural network model can recognize that the finger print information consistent with spiral fingerprint with annular, arch, andNon- finger print information can be determined.Preferably, the neural network model can be using moulds such as BP neural network, SVMsFormula identification facility is realized.
S403, the neural network model exports whether the lines information is finger print information.Trained nerve netNetwork model, the differentiation of fingerprint and non-fingerprint can be carried out to the lines information of input, thus export the lines information whether beFinger print information.
S404, when the lines information is not finger print information, ignores the push action.
The neural network model obtained by using finger print information sample and non-finger print information sample training, to collectionLines information is judged whether the lines information that collection is exported by neural network model is finger print information, is effectively reduced non-Misuse rate caused by finger touch screen.
The method that above-described embodiment describes the present invention, is illustrated below by embodiment to device.
Referring to Fig. 5, the embodiment of the present invention provides a kind of control dress for being used for the electronic equipment with full frame fingerprint recognitionPut, the device includes：
Acquisition module 51, for gathering lines information when user carries out push action on the touchscreen.Acquisition module 51Corresponding to the input block 130 shown in Fig. 1.Specifically, it can be existed by the pressure sensor sensing in electronic device touchscreenPush action on touch-screen, and carried out on the touchscreen by the collection of fingerprint sensor in electronic device touchscreen by pressingLines information when making.The lines information can be the pressing finger print information of user for operation electronic equipment on the touchscreen,Can also be the palmprint information that user's palm is produced by false touch, or other skin parts false touch and the lines letter that producesBreath.
Judge module 52, for judging whether the lines information is finger print information.Judge module 52 can be arranged at Fig. 1In shown processor 180.Specifically, by carrying out feature extraction to the lines information, the feature can be linesThe information such as shape, length, angle.The whole features or Partial Feature of the lines can be extracted, whole featuresOr Partial Feature can reflect the main feature of the lines.The patterned feature of extraction and the shape facility of preset fingerprint are carried outCompare, when the patterned feature of the extraction and the consistent shape facility of preset fingerprint, judge that the lines information is believed as fingerprintBreath.
Preferably, judge module 52 includes：Lines shape determination sub-module, for determining lines according to the lines informationShape；Lines shape judging submodule, for judging whether the lines shape meets preset shape；Lines information judges submoduleBlock, for when the lines shape meets preset shape, judging the lines information as finger print information.According to what is gathered in advanceFinger print information sets fingerprint shape, and the fingerprint shape includes different shape facilities, by believing the lines produced on screenBreath carries out feature extraction, is judged whether to meet preset shape according to feature, caused by effectively reducing non-finger touch screenMisuse rate.
Preferably, judge module 52 can also include：Input submodule, for the lines information to be inputted into neutral netModel, the neural network model is obtained using finger print information sample and non-finger print information sample training；Export submoduleBlock, exports whether the lines information is finger print information for the neural network model.By using finger print information sample withAnd the neural network model that non-finger print information sample training is obtained, the lines information to collection judges, by neutral net mouldWhether the lines information of type output collection is finger print information, effectively reduces misuse rate caused by non-finger touch screen.
Processing module 53, for when the lines information is not finger print information, ignoring the push action.Processing module53 can be arranged in the processor 180 shown in Fig. 1.Preferably, the processing module is additionally operable to：When the lines information refers toDuring line information, the push action is responded.Whether it is finger print information by the lines information for judging to collect on touch-screen, so thatDetermine whether to respond the push action, reduce misuse rate caused by non-finger touch screen.
By the way that the lines information gathered on touch-screen is made a distinction and judged, effectively prevent user palm part orOther object false touch screens and cause the maloperation to equipment, efficiently solve touching that screen is larger or hand of user is smallerIn the case of user's single hand operation of mobile phone when the problem of easily cause maloperation because of false touch screen.
The embodiment of the present invention also provides a kind of mobile terminal, including：Touch-screen, memory and processor.With a processingExemplified by device, interconnected between touch-screen, memory and processor by bus, memory storage, which has, to be handled by least oneThe instruction that device is performed, the instruction is by least one described computing device, so that at least one described computing device is as schemedMethod shown in 2-4.
By the way that the lines information gathered on touch-screen is made a distinction and judged, effectively prevent user palm part orOther object false touch screens and cause the maloperation to equipment, efficiently solve touching that screen is larger or hand of user is smallerIn the case of user's single hand operation of mobile phone when the problem of easily cause maloperation because of false touch screen.
It is to lead to it will be understood by those skilled in the art that realizing all or part of flow in above-described embodiment methodCross computer program to instruct the hardware of correlation to complete, described program can be stored in a computer read/write memory mediumIn, the program is upon execution, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, described storage medium can be magneticDish, CD, read-only memory (ROM) or random access memory (RAM) etc..
Although being described in conjunction with the accompanying embodiments of the invention, those skilled in the art can not depart from the present inventionSpirit and scope in the case of various modification can be adapted and modification, such modifications and variations are each fallen within by appended claims instituteWithin the scope of restriction.