CN106970726A - Control method and device for the electronic equipment with full frame fingerprint recognition - Google Patents
Control method and device for the electronic equipment with full frame fingerprint recognition Download PDFInfo
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- CN106970726A CN106970726A CN201710157227.0A CN201710157227A CN106970726A CN 106970726 A CN106970726 A CN 106970726A CN 201710157227 A CN201710157227 A CN 201710157227A CN 106970726 A CN106970726 A CN 106970726A
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- Prior art keywords
- lines
- information
- finger print
- shape
- print information
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
- G06F3/041—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
- G06F3/0416—Control or interface arrangements specially adapted for digitisers
- G06F3/0418—Control or interface arrangements specially adapted for digitisers for error correction or compensation, e.g. based on parallax, calibration or alignment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1365—Matching; Classification
Abstract
It is used for the control method and device of the electronic equipment with full frame fingerprint recognition, lines information when carrying out push action on the touchscreen by gathering user the invention discloses a kind of；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 the palm part or other object false touch screens of user and cause the maloperation to equipment, efficiently solve touch that screen is larger or hand of user it is less in the case of user's single hand operation of mobile phone when easily cause maloperation because of false touch screen the problem of.
Description
Technical field
The present invention relates to human-computer interaction technique field, and in particular to a kind of to be used for the electronic equipment with full frame fingerprint recognition
Control method and device.
Background technology
Existing electronic equipment is typically all the control and operation by touching the realization of its screen to equipment, for example, user is logical
Cross and is realized by unlocking screen, the operation such as application program is opened for the touch of mobile phone screen with hand.It is this to be controlled by touching screen
The mode of electronic equipment processed easily causes the maloperation to electronic equipment while bringing easy-to-use to user, also.For example,
When mobile phone is when touching larger screen or smaller hand of user, in the case of user's single hand operation of mobile phone, easily use
The palm part at family touches touch-screen and causes the situation of false touch screen.
Generally, touch electronic equipment screen when, to touch screen operation be fingerprint or palmmprint or its
The contact of his object, due to not making a distinction and judging, fingerprint or palmmprint can all respond the operation for touching screen, often by
The false touch screens such as other positions such as palm beyond finger, bring larger misuse rate.
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 of
Method 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 solve
The 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, bag
Include：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 or
Other object false touch screens and cause the maloperation to equipment, efficiently solve touching that screen is larger or hand of user is smaller
In 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 fingerprint
During 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 by
Work 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 embodiment
In, it is described to judge whether the lines information is finger print information, including：Lines shape is determined according to the lines information；Judge
Whether the lines shape meets preset shape；When 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 to
Cross and feature extraction is carried out to the lines information produced on screen, judged whether to meet preset shape according to feature, effectively reduction
Misuse 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 3rd
In, it is described to judge whether the lines information is finger print information, including：The lines information is inputted into neural network model, institute
Neural network model is stated to obtain using finger print information sample and non-finger print information sample training；The neural network model
Whether 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 collection
Lines 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, bag
Include：Acquisition module, for gathering lines information when user carries out push action on the touchscreen；Judge module, for judging
Whether the lines information is finger print information；Processing module, it is described for when the lines information is not finger print information, ignoring
Push action.
By the way that the lines information gathered on touch-screen is made a distinction and judged, effectively prevent user palm part or
Other object false touch screens and cause the maloperation to equipment, efficiently solve touching that screen is larger or hand of user is smaller
In 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：When
When 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 by
Work 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 embodiment
In, the judge module includes：Lines shape determination sub-module, for determining lines shape according to the lines information；Lines
Shape judging submodule, for judging whether the lines shape meets preset shape；Lines information decision sub-module, for working as
When 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 to
Cross and feature extraction is carried out to the lines information produced on screen, judged whether to meet preset shape according to feature, effectively reduction
Misuse 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 3rd
In, the judge module includes：Input submodule, for the lines information to be inputted into neural network model, the nerve net
Network model is obtained using finger print information sample and non-finger print information sample training；Output sub-module, for the nerve
Network 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 collection
Lines 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 one
The memory of individual processor communication connection；Wherein, have can be by the finger of at least one computing device for the memory storage
Order, the instruction is by least one described computing device, so that at least one described computing device following methods：Collection is used
Family carries out lines information during push action on the touchscreen；Whether judge the lines information is finger print information；When the line
When 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 or
Other object false touch screens and cause the maloperation to equipment, efficiently solve touching that screen is larger or hand of user is smaller
In the case of user's single hand operation of mobile phone when the problem of easily cause maloperation because of false touch screen.
Brief description of the drawings
The features and advantages of the present invention can be more clearly understood from by reference to accompanying drawing, accompanying drawing is schematical without that should manage
Solve to carry out any limitation to the present invention, in the accompanying drawings：
Fig. 1 shows a kind of structural representation of the entity apparatus of mobile terminal in the embodiment of the present invention；
Fig. 2 shows a kind of control method for being used for the electronic equipment with full frame fingerprint recognition in the embodiment of the present invention
Flow chart；
Fig. 3 shows another control method for being used to have the electronic equipment of full frame fingerprint recognition in the embodiment of the present invention
Flow chart；
Fig. 4 shows another control method for being used to have the electronic equipment of full frame fingerprint recognition in the embodiment of the present invention
Flow chart；
Fig. 5 shows a kind of control device for being used for the electronic equipment with full frame fingerprint recognition in the embodiment of the present invention
Structural representation；
Fig. 6 shows a kind of in the embodiment of the present invention be used in the control method of the electronic equipment with full frame fingerprint recognition
The schematic diagram of the annular fingerprint of preset fingerprint shape；
Fig. 7 shows a kind of in the embodiment of the present invention be used in the control method of the electronic equipment with full frame fingerprint recognition
The schematic diagram of the arch fingerprint of preset fingerprint shape；
Fig. 8 shows a kind of in the embodiment of the present invention be used in the control method of the electronic equipment with full frame fingerprint recognition
The schematic diagram of the spiral shape fingerprint of preset fingerprint shape.
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 invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
A 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 having
There 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 to
The 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 flat
The 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 as
Shown in Fig. 1, mobile phone includes：Radio frequency (RadioFrequency, RF) circuit 110, memory 120, input block 130, display are single
Member 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 phone
Limit, 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 station
After downlink information is received, handled to processor 180；In addition, being sent to base station by up data are designed.Generally, RF circuits 110
Including 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 other
Equipment communication.
Memory 120 can be used for storage software program and module, and processor 180 is stored in memory 120 by operation
Software program and module, so as to perform various function application and the data processing of mobile phone.Memory 120 can mainly include
Storing program area and storage data field, wherein, the application journey that storing program area can be needed for storage program area, at least one function
Sequence (such as sound-playing function, image player function etc.) etc.；Storage data field can be stored uses what is created according to mobile phone
Data (such as voice data, phone directory etc.) etc..In addition, memory 120 can include high-speed random access memory, can be with
Including nonvolatile memory, for example, at least one disk memory, flush memory device or other volatile solid-states
Part.
Input block 130 can be used for the numeral or character information for receiving input, and produce with the user of mobile phone set with
And the relevant key signals input of function control.Specifically, input block 130 may include that contact panel 131 and other inputs are set
Standby 132.Contact panel 131, also referred to as touch-screen, collecting touch operation of the user on or near it, (such as user uses
The operation of any suitable object such as finger, stylus or annex on contact panel 131 or near contact panel 131), and root
Corresponding attachment means are driven according to formula set in advance.Optionally, contact panel 131 may include touch detecting apparatus and touch
Two 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 touching
Point coordinates, then give processor 180, and the order sent of reception processing device 180 and can be performed.Furthermore, it is possible to using electricity
The polytypes such as resistive, condenser type, infrared ray and surface acoustic wave realize contact panel 131.Except contact panel 131, input
Unit 130 can also include other input equipments 132.Specifically, other input equipments 132 can include but is not limited to secondary or physical bond
One 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 phone
Menu.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 detected
To after the touch operation on or near it, processor 180 is sent to determine the type of touch event, with preprocessor 180
Corresponding visual output is provided on display panel 141 according to the type of touch event.Although in Fig. 1, contact panel 131 with
Display 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 light
Light and shade adjust the brightness of display panel 141, proximity transducer can close display panel 141 when mobile phone is moved in one's ear
And/or backlight.As one kind of motion sensor, accelerometer sensor can detect in all directions (generally three axles) acceleration
Size, 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 cut
Change, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, tap) etc.；May be used also as mobile phone
The 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 electric
Electric signal after the voice data received conversion can be transferred to loudspeaker 161, sound is converted to by loudspeaker 161 by road 160
Signal output；On the other hand, the voice signal of collection is converted to electric signal by microphone 162, by voicefrequency circuit 160 receive after turn
It 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 170
Part, 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 to
Cross operation or perform and be stored in software program and/or module in memory 120, and call and be stored in memory 120
Data, 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 wrapped
Include one or more processing units；It is preferred that, processor 180 can integrated application processor and modem processor, wherein, should
Operating 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 pipe
Reason system and processor 180 are logically contiguous, so as to realize management charging, electric discharge and power managed by power-supply management system
Etc. 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 recognition
The control method of equipment, memory 120 can be used for the software program and module of storage this method, and processor 180 passes through operation
The 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 electronics
The push action of pressure sensor sensing on the touchscreen in standby touch-screen, and passed by the fingerprint in electronic device touchscreen
Sensor collection carries out lines information during push action on the touchscreen.The lines information can be that user sets for operation electronics
The palmprint information that standby pressing finger print information or user's palm on the touchscreen is produced by false touch, or other skins
The 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 information
Extract, the feature can be the information such as the shape, length, angle of lines.Can be to whole features of the lines or part
Feature is extracted, and the whole features or Partial Feature can reflect the main feature of the lines.The lines of extraction is special
The shape facility levied with preset fingerprint is compared, when the patterned feature of the extraction and the shape facility of preset fingerprint are consistent
When, 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 extraction
The shape facility of road feature and preset fingerprint is compared, when the extraction patterned feature and preset fingerprint shape facility not
When 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 or
Other object false touch screens and cause the maloperation to equipment, efficiently solve touching that screen is larger or hand of user is smaller
In 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-screen
To lines information whether be finger print information, determine whether to respond the push action, reduce non-finger touch screen
Caused 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 recognition
Method, 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 operation
The 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 carry
Take, patterned feature can be the information such as the shape, length, angle of lines.Preferably, to whole features of the lines or part
Feature is extracted, and the whole features or Partial Feature can reflect the main feature of the lines.According to the lines of extraction
Feature determines the shape of the lines.
S303, judges whether the lines shape meets preset shape.Specifically, by the patterned feature of extraction and default finger
The shape facility of line is compared, when the patterned feature of the extraction is consistent with the shape facility of default fingerprint, judges institute
Lines 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. 6
Shown, 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 shape
Whether 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 lines
Information 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 to
Cross and feature extraction is carried out to the lines information produced on screen, judged whether to meet preset shape according to feature, effectively reduction
Misuse 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 recognition
Method, 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 operation
The 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 sample
What 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, choosing
The 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.Will
The finger print information sample and the non-finger print information sample input neural network model, complete the instruction to neural network model
Practice, so that the neural network model can recognize that the finger print information consistent with spiral fingerprint with annular, arch, and
Non- finger print information can be determined.Preferably, the neural network model can be using moulds such as BP neural network, SVMs
Formula identification facility is realized.
S403, the neural network model exports whether the lines information is finger print information.Trained nerve net
Network model, the differentiation of fingerprint and non-fingerprint can be carried out to the lines information of input, thus export the lines information whether be
Finger 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 collection
Lines 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 recognition
Put, the device includes：
Acquisition module 51, for gathering lines information when user carries out push action on the touchscreen.Acquisition module 51
Corresponding to the input block 130 shown in Fig. 1.Specifically, it can be existed by the pressure sensor sensing in electronic device touchscreen
Push action on touch-screen, and carried out on the touchscreen by the collection of fingerprint sensor in electronic device touchscreen by pressing
Lines 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 produces
Breath.
Judge module 52, for judging whether the lines information is finger print information.Judge module 52 can be arranged at Fig. 1
In shown processor 180.Specifically, by carrying out feature extraction to the lines information, the feature can be lines
The information such as shape, length, angle.The whole features or Partial Feature of the lines can be extracted, whole features
Or Partial Feature can reflect the main feature of the lines.The patterned feature of extraction and the shape facility of preset fingerprint are carried out
Compare, when the patterned feature of the extraction and the consistent shape facility of preset fingerprint, judge that the lines information is believed as fingerprint
Breath.
Preferably, judge module 52 includes：Lines shape determination sub-module, for determining lines according to the lines information
Shape；Lines shape judging submodule, for judging whether the lines shape meets preset shape；Lines information judges submodule
Block, for when the lines shape meets preset shape, judging the lines information as finger print information.According to what is gathered in advance
Finger print information sets fingerprint shape, and the fingerprint shape includes different shape facilities, by believing the lines produced on screen
Breath carries out feature extraction, is judged whether to meet preset shape according to feature, caused by effectively reducing non-finger touch screen
Misuse rate.
Preferably, judge module 52 can also include：Input submodule, for the lines information to be inputted into neutral net
Model, the neural network model is obtained using finger print information sample and non-finger print information sample training；Export submodule
Block, exports whether the lines information is finger print information for the neural network model.By using finger print information sample with
And the neural network model that non-finger print information sample training is obtained, the lines information to collection judges, by neutral net mould
Whether 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 module
53 can be arranged in the processor 180 shown in Fig. 1.Preferably, the processing module is additionally operable to：When the lines information refers to
During 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 that
Determine 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 or
Other object false touch screens and cause the maloperation to equipment, efficiently solve touching that screen is larger or hand of user is smaller
In 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 processing
Exemplified by device, interconnected between touch-screen, memory and processor by bus, memory storage, which has, to be handled by least one
The instruction that device is performed, the instruction is by least one described computing device, so that at least one described computing device is as schemed
Method 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 or
Other object false touch screens and cause the maloperation to equipment, efficiently solve touching that screen is larger or hand of user is smaller
In 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 method
Cross computer program to instruct the hardware of correlation to complete, described program can be stored in a computer read/write memory medium
In, 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 magnetic
Dish, 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 invention
Spirit and scope in the case of various modification can be adapted and modification, such modifications and variations are each fallen within by appended claims institute
Within the scope of restriction.
Claims (8)
1. a kind of be used for the control method of the electronic equipment with full frame fingerprint recognition, it is characterised in that including：
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.
2. according to the method described in claim 1, it is characterised in that
When the lines information is finger print information, the push action is responded.
3. method according to claim 1 or 2, it is characterised in that described to judge whether the lines information is fingerprint letter
Breath, including：
Lines shape is determined according to the lines information；
Judge whether the lines shape meets preset shape；
When the lines shape meets preset shape, judge the lines information as finger print information.
4. method according to claim 1 or 2, it is characterised in that described to judge whether the lines information is fingerprint letter
Breath, including：
The lines information is inputted into neural network model, the neural network model is to utilize finger print information sample and non-finger
The training of line message sample is obtained；
The neural network model exports whether the lines information is finger print information.
5. a kind of be used for the control device of the electronic equipment with full frame fingerprint recognition, it is characterised in that including：
Acquisition module, for gathering lines information when user carries out push action on the touchscreen；
Judge module, for judging whether the lines information is finger print information；
Processing module, for when the lines information is not finger print information, ignoring the push action.
6. device according to claim 5, it is characterised in that the processing module is additionally operable to：
When the lines information is finger print information, the push action is responded.
7. the device according to claim 5 or 6, it is characterised in that the judge module includes：
Lines shape determination sub-module, for determining lines shape according to the lines information；
Lines shape judging submodule, for judging whether the lines shape meets preset shape；
Lines information decision sub-module, for when the lines shape meets preset shape, judging the lines information as finger
Line information.
8. the device according to claim 5 or 6, it is characterised in that the judge module includes：
Input submodule, for the lines information to be inputted into neural network model, the neural network model is to utilize fingerprint
What message sample and non-finger print information sample training were obtained；
Output sub-module, exports whether the lines information is finger print information for the neural network model.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107562346A (en) * | 2017-09-06 | 2018-01-09 | 广东欧珀移动通信有限公司 | Terminal control method, device, terminal and computer-readable recording medium |
| CN107808089A (en) * | 2017-11-21 | 2018-03-16 | 青岛海信移动通信技术股份有限公司 | A kind of fingerprint identification method, device and storage medium |
| CN109063623A (en) * | 2018-07-26 | 2018-12-21 | 努比亚技术有限公司 | A kind of fingerprint identification method, equipment and computer can storage mediums |
| CN113282220A (en) * | 2020-02-19 | 2021-08-20 | 北京小米移动软件有限公司 | False touch prevention method, method for determining false touch prevention area and mobile terminal |
| CN115617192A (en) * | 2022-06-20 | 2023-01-17 | 荣耀终端有限公司 | Touch positioning method and electronic equipment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103376932A (en) * | 2012-04-26 | 2013-10-30 | 富泰华工业（深圳）有限公司 | Anti-misoperation system and method |
| CN105184137A (en) * | 2015-09-09 | 2015-12-23 | 魅族科技（中国）有限公司 | Touch screen unlocking method and terminal |
| CN105353965A (en) * | 2015-09-25 | 2016-02-24 | 维沃移动通信有限公司 | Screen unlocking method for electronic device and electronic device |
| CN105824559A (en) * | 2016-02-29 | 2016-08-03 | 维沃移动通信有限公司 | Unintended activation recognizing and treating method and electronic equipment |
-
2017
- 2017-03-16 CN CN201710157227.0A patent/CN106970726A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103376932A (en) * | 2012-04-26 | 2013-10-30 | 富泰华工业（深圳）有限公司 | Anti-misoperation system and method |
| CN105184137A (en) * | 2015-09-09 | 2015-12-23 | 魅族科技（中国）有限公司 | Touch screen unlocking method and terminal |
| CN105353965A (en) * | 2015-09-25 | 2016-02-24 | 维沃移动通信有限公司 | Screen unlocking method for electronic device and electronic device |
| CN105824559A (en) * | 2016-02-29 | 2016-08-03 | 维沃移动通信有限公司 | Unintended activation recognizing and treating method and electronic equipment |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107562346A (en) * | 2017-09-06 | 2018-01-09 | 广东欧珀移动通信有限公司 | Terminal control method, device, terminal and computer-readable recording medium |
| CN107808089A (en) * | 2017-11-21 | 2018-03-16 | 青岛海信移动通信技术股份有限公司 | A kind of fingerprint identification method, device and storage medium |
| CN109063623A (en) * | 2018-07-26 | 2018-12-21 | 努比亚技术有限公司 | A kind of fingerprint identification method, equipment and computer can storage mediums |
| CN109063623B (en) * | 2018-07-26 | 2021-12-14 | 努比亚技术有限公司 | Fingerprint identification method, equipment and computer storage medium |
| CN113282220A (en) * | 2020-02-19 | 2021-08-20 | 北京小米移动软件有限公司 | False touch prevention method, method for determining false touch prevention area and mobile terminal |
| CN115617192A (en) * | 2022-06-20 | 2023-01-17 | 荣耀终端有限公司 | Touch positioning method and electronic equipment |
| CN115617192B (en) * | 2022-06-20 | 2023-11-10 | 荣耀终端有限公司 | Touch positioning method and electronic equipment |
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Application publication date: 20170721 |