CN107102809B - Fingerprint identification method and mobile terminal - Google Patents
Fingerprint identification method and mobile terminal Download PDFInfo
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- CN107102809B CN107102809B CN201710262420.0A CN201710262420A CN107102809B CN 107102809 B CN107102809 B CN 107102809B CN 201710262420 A CN201710262420 A CN 201710262420A CN 107102809 B CN107102809 B CN 107102809B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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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
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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
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0487—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser
- G06F3/0488—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures
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Abstract
The invention discloses a fingerprint identification method and a mobile terminal, which are applied to the mobile terminal with a touch screen, and the method comprises the following steps: determining a fingerprint identification area on the touch screen according to the operation of a user on the touch screen; and collecting fingerprint data in the fingerprint identification area, and verifying the collected fingerprint data. According to the invention, the fingerprint identification area is dynamically adjusted according to the operation of the user on the touch screen, the holding gesture does not need to be adjusted by the user, the problem that the finger touch area is deviated from the fingerprint identification area is avoided, and the usability and the success rate of fingerprint identification are improved.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a fingerprint identification method and a mobile terminal.
Background
At present, the screen of intelligent terminal such as cell-phone, PAD accounts for than constantly improving, and the fingerprint identification device sets up at fixed position usually, and the user is at the in-process that uses intelligent terminal, often needs the adjustment to grip the gesture or stretch the finger hard and carry out fingerprint identification, and is very inconvenient to still can cause the regional problem of deviating with fingerprint identification of finger touch, lead to fingerprint identification's ease for use and success rate lower.
Disclosure of Invention
In view of the above, the present invention provides a fingerprint identification method and a mobile terminal, so as to solve the problem of low usability and success rate of fingerprint identification in the prior art.
The embodiment of the invention provides a fingerprint identification method, which is applied to a mobile terminal with a touch screen and comprises the following steps:
determining a fingerprint identification area on the touch screen according to the operation of a user on the touch screen;
and collecting fingerprint data in the fingerprint identification area, and verifying the collected fingerprint data.
Preferably, the determining a fingerprint identification area on the touch screen according to the operation of the user on the touch screen includes:
selecting an area with the highest touch probability from the touch screen as a fingerprint identification area;
alternatively, the first and second electrodes may be,
and selecting an area with the maximum user operation frequency within a preset time length from the touch screen as a fingerprint identification area.
Preferably, before determining the fingerprint identification area on the touch screen according to the operation of the user on the touch screen, the method further includes:
counting touch track data of a user operating on a touch screen in real time, and storing the touch track data into a touch track database;
selecting an area with the highest touch probability from the touch screen as a fingerprint identification area, wherein the fingerprint identification area comprises the following steps:
calculating the touch probability of each area on the touch screen according to the touch track data in the touch track database;
and selecting the area with the highest touch probability as the fingerprint identification area.
Preferably, the calculating the touch probability of each area on the touch screen according to the touch trajectory data in the touch trajectory database includes:
selecting the latest touch track data with the preset group number from the touch track database as a data set;
dividing the touch screen into a plurality of sub-areas, and calculating the touch probability of each sub-area according to each group of touch track data in the data set;
the selecting the area with the highest touch probability as the fingerprint identification area comprises the following steps:
and sequencing the touch probabilities of the sub-areas, and selecting the sub-area with the highest touch probability as a fingerprint identification area.
Preferably, the calculating the touch probability of each sub-region according to each group of touch trajectory data in the data set includes:
counting the trigger frequency of each group of touch track data to each pixel point of each subarea;
and calculating the proportion of the triggered pixel points in each sub-region in all the pixel points to obtain the touch probability of each sub-region.
Correspondingly, an embodiment of the present invention further provides a mobile terminal, where the mobile terminal includes a touch screen, and further includes:
the fingerprint identification area judgment module is used for determining a fingerprint identification area on the touch screen according to the operation of a user on the touch screen;
and the fingerprint acquisition module is used for acquiring fingerprint data in the fingerprint identification area and verifying the acquired fingerprint data.
Preferably, the fingerprint identification area determination module includes:
the touch probability analysis submodule is used for selecting an area with the highest touch probability from the touch screen as a fingerprint identification area;
alternatively, the first and second electrodes may be,
and the operation frequency analysis submodule is used for selecting an area with the maximum user operation frequency within a preset time length from the touch screen as a fingerprint identification area.
Preferably, the mobile terminal further includes:
the statistical module is used for carrying out real-time statistics on touch track data of a user operating on the touch screen and storing the touch track data into a touch track database;
the touch probability analysis submodule is specifically configured to calculate touch probabilities of regions on the touch screen according to the touch trajectory data in the touch trajectory database, and select a region with the highest touch probability as a fingerprint identification region.
Preferably, the touch probability analysis sub-module includes:
the data selection unit is used for selecting the latest touch track data with the preset group number from the touch track database as a data set;
the area calculation unit is used for dividing the touch screen into a plurality of sub-areas and calculating the touch probability of each sub-area according to each group of touch track data in the data set;
and the sequencing unit is used for sequencing the touch probabilities of the sub-areas and selecting the sub-area with the highest touch probability as the fingerprint identification area.
Preferably, the region calculation unit includes:
the trigger frequency counting subunit is used for counting the trigger frequency of each group of touch track data for each pixel point of each subarea;
and the proportion calculation subunit is used for calculating the proportion of the triggered pixel points in each sub-region in all the pixel points to obtain the touch probability of each sub-region.
In the embodiment of the invention, the fingerprint identification area is dynamically adjusted according to the operation of the user on the touch screen, the holding gesture does not need to be adjusted by the user, the problem that the finger touch area is deviated from the fingerprint identification area is avoided, and the usability and the success rate of fingerprint identification are improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
FIG. 1 is a flowchart of a fingerprint recognition method according to an embodiment of the present invention;
FIG. 2 is a second flowchart of a fingerprint identification method according to an embodiment of the present invention;
FIG. 3 is a third flowchart of a fingerprint recognition method according to an embodiment of the present invention;
fig. 4 is a schematic block diagram of a mobile terminal according to a second embodiment of the present invention;
fig. 5 is a schematic block diagram of a mobile terminal according to a third embodiment of the present invention;
fig. 6 is a schematic block diagram of a mobile terminal according to a fourth embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
Example one
An embodiment of the present invention provides a fingerprint identification method, which is applied to a mobile terminal with a touch screen, and with reference to fig. 1, the method includes the following steps:
s100, determining a fingerprint identification area on the touch screen according to the operation of a user on the touch screen;
s200, collecting fingerprint data in the fingerprint identification area, and verifying the collected fingerprint data.
According to the embodiment of the invention, the fingerprint identification area is dynamically adjusted according to the operation of the user on the touch screen, the holding gesture does not need to be adjusted by the user, the problem that the finger touch area is deviated from the fingerprint identification area is avoided, and the usability and the success rate of fingerprint identification are improved.
The present invention is based on a mobile terminal having a touch screen and capable of fingerprint recognition, and is preferably applied to a mobile terminal capable of fingerprint recognition on a full screen, but the present invention is not limited to a fingerprint detection method, and for example, any method such as capacitance detection, optical detection, and ultrasonic detection may be used to perform fingerprint recognition detection, and is applicable to the present invention.
Preferably, in step S100, the determining a fingerprint identification area on the touch screen according to the operation of the user on the touch screen includes:
selecting an area with the highest touch probability from the touch screen as a fingerprint identification area;
alternatively, the first and second liquid crystal display panels may be,
and selecting an area with the maximum user operation frequency within a preset time length from the touch screen as a fingerprint identification area.
In practical application, according to different touch operation habits of users, the invention can also adopt other judgment conditions to select the area most suitable for the user to perform fingerprint identification, and the details are not repeated herein.
Preferably, referring to fig. 2, before determining the fingerprint identification area on the touch screen according to the operation of the user on the touch screen, the method further includes:
s001, counting touch track data of a user operating on the touch screen in real time, and storing the touch track data into a touch track database;
selecting an area with the highest touch probability from the touch screen as a fingerprint identification area, wherein the fingerprint identification area comprises the following steps:
s101, calculating the touch probability of each area on the touch screen according to the touch track data in the touch track database;
and S102, selecting the area with the highest touch probability as a fingerprint identification area.
Further, as shown in fig. 3, the calculating, in step S101, a touch probability of each area on the touch screen according to the touch trajectory data in the touch trajectory database includes:
s1011, selecting the latest touch trajectory data with the preset group number from the touch trajectory database as a data set;
s1012, dividing the touch screen into a plurality of sub-areas, and calculating the touch probability of each sub-area according to each group of touch track data in the data set;
in step S102, selecting an area with the highest touch probability as a fingerprint identification area includes:
and S1021, sequencing the touch probabilities of the sub-areas, and selecting the sub-area with the highest touch probability as the fingerprint identification area.
The set of touch trajectory data refers to data formed by one touch behavior of the user, and more specifically, coordinate data of each touch trajectory is recorded as a set of touch trajectory data. In order to make the statistical result more accurate, more sets of touch trajectory data should be selected as much as possible to form the data set. Preferably, the preset number of groups N is more than or equal to 100 groups, so as to reflect the position of the familiar touch area of the user to the maximum extent.
The shape and size of the sub-region are not limited, and the shape and size of the divided sub-region can be preset according to actual requirements, for example, the shape matched with the shape of a finger can be adopted, and other regular shapes capable of accommodating the finger can also be adopted.
It can be seen that the fingerprint identification preferred area determined in the embodiment is not a fixed area, but a dynamically changing area. If the touch habit of the user changes, the corresponding touch track database can be updated, and the latest touch track data with the preset group number is adopted during statistics, so that the user can be ensured to carry out fingerprint acquisition in the most comfortable and most convenient area at present during fingerprint identification each time.
Preferably, the step S1012 of calculating the touch probability of each sub-region according to each set of touch trajectory data in the data set includes:
counting the trigger frequency of each group of touch track data to each pixel point of each subarea;
and calculating the proportion of the triggered pixel points in each sub-region in all the pixel points to obtain the touch probability of each sub-region.
It should be noted that the above is only a specific way of sorting the touch probabilities, and is based on the proportion covered by the touched pixel points in each sub-region, and it is obvious that the touch probabilities of the sub-regions may also be analyzed and sorted by using other algorithms, and details are not described here.
In addition, the fingerprint identification method provided by the embodiment may further include the following steps:
reminding a user to perform touch operation in the fingerprint identification preferred area, and specifically comprising the following steps:
and reminding the user by any one or more of a character reminding mode, a pop-up box reminding mode, a brightness reminding mode and a color reminding mode.
The character prompting mode displays the position of the fingerprint identification area through characters, the frame popping prompting mode displays the position of the fingerprint identification area through a frame popping mode, the brightness prompting mode displays the position of the fingerprint identification area through brightness change, and the color prompting mode displays the position of the fingerprint identification area through color change.
The fingerprint identification of the invention includes but is not limited to: any one or more of fingerprint collection, fingerprint unlocking, fingerprint payment, fingerprint encryption and decryption and fingerprint login. In a scene that a user needs to perform fingerprint identification, the corresponding fingerprint identification step is automatically started to prompt the user to operate, so that the user performs fingerprint acquisition in the most preferable screen subarea.
A specific implementation manner of the fingerprint identification method provided by the embodiment of the present invention is as follows:
firstly, fingerprint identification is started in a scene needing related functions of fingerprint identification, such as fingerprint acquisition, fingerprint unlocking, fingerprint payment, fingerprint encryption and decryption, fingerprint login and the like.
And then, selecting the latest 100 groups (which can be adjusted according to the time interval and frequency of the user operation screen) of data from a touch track database counted in real time when the user operates the touch screen as a data set U used at this time. And carrying out area division on the whole screen according to the shape and the size of the set fingerprint area, and framing the pixel points by each sub-area. For different sub-regions, such as the sub-region a, probability statistics is performed on the trigger frequency of each pixel point of the sub-region a in the data set U, and the touch probability of the sub-region a is calculated. Similarly, the touch probabilities of the sub-regions B, C and the like are counted, and finally the touch probabilities of the sub-regions are ranked, wherein the sub-region with the highest touch probability, such as the sub-region B, can be regarded as a fingerprint identification preferred region, i.e. a region most comfortable for the user to operate with fingers.
Next, the user is prompted to perform fingerprint recognition in sub-area B. Wherein, the reminding mode includes but not limited to: the prompt of characters in the identification area, the prompt of a box popping in the identification area, the prompt of brightness and color flashing in the identification area and the like.
And finally, pressing down the finger of the user in the sub-area B to perform functions of fingerprint acquisition, identification and the like.
Compared with the prior art, the fingerprint identification method provided by the embodiment of the invention has the following advantages:
firstly, the habit holding gesture and the operation area of the user are identified by detecting the touch operation track of the user in real time, and the optimal fingerprint identification area is determined for the user to collect and identify the fingerprint, so that the user is prevented from frequently adjusting the holding gesture, the fingerprint identification process is more intelligent, and the experience is better.
Secondly, the phenomenon that the finger touch area deviates from the fingerprint identification area is improved, so that the user finger and the fingerprint identification area are attached more accurately, and the efficiency and the success rate of fingerprint identification of the user are improved.
Example two
An embodiment of the present invention provides a mobile terminal, where the mobile terminal includes a touch screen, and as shown in fig. 4, the mobile terminal 100 further includes:
a fingerprint identification area determination module 101, configured to determine a fingerprint identification area on the touch screen according to an operation of a user on the touch screen;
and the fingerprint acquisition module 102 is configured to acquire fingerprint data in the fingerprint identification area and verify the acquired fingerprint data.
The mobile terminal 100 provided by the embodiment of the invention dynamically adjusts the fingerprint identification area according to the operation of the user on the touch screen, does not need the user to adjust the holding gesture, avoids the problem that the finger touch area deviates from the fingerprint identification area, and improves the usability and the success rate of fingerprint identification
Preferably, the fingerprint identification area determination module 101 includes:
the touch probability analysis submodule is used for selecting an area with the highest touch probability from the touch screen as a fingerprint identification area;
alternatively, the first and second electrodes may be,
and the operation frequency analysis submodule is used for selecting an area with the maximum user operation frequency within a preset time length from the touch screen as a fingerprint identification area.
Preferably, the mobile terminal further comprises:
the statistical module 103 is configured to count touch trajectory data of a user operating on a touch screen in real time, and store the touch trajectory data in a touch trajectory database;
the touch probability analysis submodule is specifically configured to calculate touch probabilities of regions on the touch screen according to the touch trajectory data in the touch trajectory database, and select a region with the highest touch probability as a fingerprint identification region.
Preferably, the touch probability analysis sub-module includes:
the data selection unit is used for selecting the latest touch track data with the preset group number from the touch track database as a data set;
the area calculation unit is used for dividing the touch screen into a plurality of sub-areas and calculating the touch probability of each sub-area according to each group of touch track data in the data set;
and the sequencing unit is used for sequencing the touch probability of each sub-area and selecting the sub-area with the highest touch probability as the fingerprint identification area.
Preferably, the region calculation unit includes:
the trigger frequency counting subunit is used for counting the trigger frequency of each group of touch track data for each pixel point of each subarea;
and the proportion calculation subunit is used for calculating the proportion of the triggered pixel points in each sub-region in all the pixel points to obtain the touch probability of each sub-region.
Further, the mobile terminal further comprises a reminding module 104, wherein the reminding module 104 comprises any one or more of a text reminding sub-module, a bullet frame reminding sub-module, a brightness reminding sub-module and a color reminding sub-module;
the text prompt sub-module is used for displaying the position of the fingerprint identification preferred area through text;
the pop frame prompting submodule is used for displaying the position of the fingerprint identification preferred area through a pop frame;
the brightness prompt submodule is used for displaying the position of the fingerprint identification preferred area through brightness change;
and the color prompt submodule is used for displaying the position of the fingerprint identification preferred area through color change.
In this embodiment, the fingerprint identification includes but is not limited to: any one or more of fingerprint collection, fingerprint unlocking, fingerprint payment, fingerprint encryption and decryption and fingerprint login.
The mobile terminal 100 can implement each process implemented by the mobile terminal in the method embodiments of fig. 1 to fig. 3, and details are not repeated here to avoid repetition.
Compared with the prior art, the mobile terminal provided by the embodiment of the invention has the following advantages:
the mobile terminal can detect the touch track of a user in real time, recognize the habit holding gesture and the operation area of the user, determine the fingerprint identification optimal area for the user to acquire and identify the fingerprint, avoid the user from frequently adjusting the holding gesture, enable the fingerprint identification process to be more intelligent and experience better.
The mobile terminal improves the phenomenon that the finger touch area deviates from the fingerprint identification area, so that the user finger and the fingerprint identification area are attached more accurately, and the efficiency and the success rate of fingerprint identification of the user are improved.
EXAMPLE III
Fig. 5 is a block diagram of a mobile terminal according to another embodiment of the present invention. The mobile terminal 700 shown in fig. 5 includes: at least one processor 701, memory 702, at least one network interface 704, and other user interfaces 703. The various components in the mobile terminal 700 are coupled together by a bus system 705. It is understood that the bus system 705 is used to enable communications among the components. The bus system 705 includes a power bus, a control bus, and a status signal bus in addition to a data bus. But for clarity of illustration the various busses are labeled in figure 5 as the bus system 705.
The user interface 703 may include, among other things, a display, a keyboard, or a pointing device (e.g., a mouse, trackball, touch pad, or touch screen, among others.
It is to be understood that the memory 702 in embodiments of the present invention may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of example, and not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), Double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM), Enhanced Synchronous SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The memory 702 of the systems and methods described in this embodiment of the invention is intended to comprise, without being limited to, these and any other suitable types of memory.
In some embodiments, memory 702 stores the following elements, executable modules or data structures, or a subset thereof, or an expanded set thereof: an operating system 7021 and application programs 7022.
The operating system 7021 includes various system programs, such as a framework layer, a core library layer, a driver layer, and the like, for implementing various basic services and processing hardware-based tasks. The application 7022 includes various applications, such as a media player (MediaPlayer), a Browser (Browser), and the like, for implementing various application services. Programs that implement methods in accordance with embodiments of the present invention can be included within application program 7022.
In the embodiment of the present invention, the processor 701 is configured to, by calling a program or an instruction stored in the memory 702, specifically, a program or an instruction stored in the application 7022:
determining a fingerprint identification area on the touch screen according to the operation of a user on the touch screen;
and collecting fingerprint data in the fingerprint identification area, and verifying the collected fingerprint data. The method disclosed in the above embodiments of the present invention may be applied to the processor 701, or implemented by the processor 701. The processor 701 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be implemented by integrated logic circuits of hardware or instructions in the form of software in the processor 701. The Processor 701 may be a general-purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable gate array (FPGA) or other Programmable logic device, discrete gate or transistor logic device, or discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 702, and the processor 701 reads the information in the memory 702, and completes the steps of the method in combination with the hardware.
It is to be understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or any combination thereof. For a hardware implementation, the Processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, micro-controllers, microprocessors, other electronic units configured to perform the functions described herein, or a combination thereof.
For a software implementation, the techniques described in this disclosure may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described in this disclosure. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.
Preferably, the processor 701 is further configured to:
in the step of determining the fingerprint identification area on the touch screen according to the operation of the user on the touch screen:
selecting an area with the highest touch probability from the touch screen as a fingerprint identification area;
alternatively, the first and second electrodes may be,
and selecting an area with the maximum user operation frequency within a preset time length from the touch screen as a fingerprint identification area.
Preferably, the processor 701 is further configured to:
before the determining of the fingerprint identification area on the touch screen according to the operation of the user on the touch screen:
counting touch track data of a user operating on a touch screen in real time, and storing the touch track data into a touch track database;
selecting an area with the highest touch probability from the touch screen as a fingerprint identification area, wherein the fingerprint identification area comprises the following steps:
calculating the touch probability of each area on the touch screen according to the touch track data in the touch track database;
and selecting the area with the highest touch probability as the fingerprint identification area.
Preferably, the processor 701 is further configured to:
in the step of calculating the touch probability of each area on the touch screen according to the touch trajectory data in the touch trajectory database:
selecting the latest touch track data with the preset group number from the touch track database as a data set;
dividing the touch screen into a plurality of sub-areas, and calculating the touch probability of each sub-area according to each group of touch track data in the data set;
the selecting the area with the highest touch probability as the fingerprint identification area comprises the following steps:
and sequencing the touch probabilities of the sub-areas, and selecting the sub-area with the highest touch probability as the fingerprint identification area.
Preferably, the processor 701 is further configured to:
in the step of calculating the touch probability of each sub-area according to each group of touch trajectory data in the data set:
counting the trigger frequency of each group of touch track data to each pixel point of each subarea;
and calculating the proportion of the triggered pixel points in each sub-region in all the pixel points to obtain the touch probability of each sub-region.
The mobile terminal 700 can implement the processes implemented by the mobile terminal in the foregoing embodiments, and details are not repeated here to avoid repetition.
The mobile terminal dynamically adjusts the fingerprint identification area according to the operation of the user on the touch screen, the holding gesture does not need to be adjusted by the user, the problem that the finger touch area is deviated from the fingerprint identification area is avoided, and the usability and the success rate of fingerprint identification are improved
Example four
Fig. 6 is a schematic structural diagram of a mobile terminal according to another embodiment of the present invention. Specifically, the mobile terminal 800 in fig. 6 may be a mobile phone, a tablet computer, a Personal Digital Assistant (PDA), or a vehicle-mounted computer.
The mobile terminal 800 in fig. 6 includes a Radio Frequency (RF) circuit 810, a memory 820, an input unit 830, a display unit 840, a processor 860, an audio circuit 870, a wifi (wireless fidelity) module 880, and a power supply 890.
Among other things, the input unit 830 may be used to receive numerical or character information input by a user and generate signal inputs related to user settings and function control of the mobile terminal 800. Specifically, in the embodiment of the present invention, the input unit 830 may include a touch panel 831. The touch panel 831, also called a touch screen, can collect touch operations of a user (e.g., operations of the user on the touch panel 831 using a finger, a stylus, or any other suitable object or accessory) thereon or nearby, and drive the corresponding connection device according to a preset program. Alternatively, the touch panel 831 may include two portions, i.e., a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 860, and can receive and execute commands sent by the processor 860. In addition, the touch panel 831 may be implemented by various types such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 831, the input unit 830 may include other input devices 832, and the other input devices 832 may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.
Among other things, the display unit 840 may be used to display information input by the user or information provided to the user and various menu interfaces of the mobile terminal 800. The display unit 840 may include a display panel 841, and the display panel 841 may be alternatively configured in the form of an LCD or an Organic Light-Emitting Diode (OLED), or the like.
It should be noted that the touch panel 831 can overlay the display panel 841 to form a touch display screen, which, when it detects a touch operation thereon or nearby, is passed to the processor 860 to determine the type of touch event, and then the processor 860 provides a corresponding visual output on the touch display screen according to the type of touch event.
The touch display screen comprises an application program interface display area and a common control display area. The arrangement modes of the application program interface display area and the common control display area are not limited, and can be an arrangement mode which can distinguish two display areas, such as vertical arrangement, left-right arrangement and the like. The application interface display area may be used to display an interface of an application. Each interface may contain at least one application icon and/or widget desktop control or like interface element. The application interface display area may also be an empty interface that does not contain any content. The common control display area is used for displaying controls with high utilization rate, such as application icons like setting buttons, interface numbers, scroll bars and phone book icons.
The processor 860 is a control center of the mobile terminal 800, connects various parts of the entire mobile phone using various interfaces and lines, and performs various functions of the mobile terminal 800 and processes data by operating or executing software programs and/or modules stored in the first memory 821 and calling data stored in the second memory 822, thereby integrally monitoring the mobile terminal 800. Optionally, processor 860 may include one or more processing units.
In an embodiment of the present invention, the processor 860 is configured to, by invoking software programs and/or modules stored in the first memory 821 and/or data stored in the second memory 822:
determining a fingerprint identification area on the touch screen according to the operation of a user on the touch screen;
and collecting fingerprint data in the fingerprint identification area, and verifying the collected fingerprint data. Preferably, the processor 860 is further configured to:
in the step of determining the fingerprint identification area on the touch screen according to the operation of the user on the touch screen:
selecting an area with the highest touch probability from the touch screen as a fingerprint identification area;
alternatively, the first and second electrodes may be,
and selecting an area with the maximum user operation frequency within a preset time length from the touch screen as a fingerprint identification area.
Preferably, the processor 860 is further configured to:
before the determining of the fingerprint identification area on the touch screen according to the operation of the user on the touch screen:
counting touch track data of a user operating on a touch screen in real time, and storing the touch track data into a touch track database;
selecting an area with the highest touch probability from the touch screen as a fingerprint identification area, wherein the fingerprint identification area comprises the following steps:
calculating the touch probability of each area on the touch screen according to the touch track data in the touch track database;
and selecting the area with the highest touch probability as the fingerprint identification area.
Preferably, the processor 860 is further configured to:
in the step of calculating the touch probability of each area on the touch screen according to the touch trajectory data in the touch trajectory database:
selecting the latest touch track data with the preset group number from the touch track database as a data set;
dividing the touch screen into a plurality of sub-areas, and calculating the touch probability of each sub-area according to each group of touch track data in the data set;
the selecting the area with the highest touch probability as the fingerprint identification area comprises the following steps:
and sequencing the touch probabilities of the sub-areas, and selecting the sub-area with the highest touch probability as the fingerprint identification area.
Preferably, the processor 860 is further configured to:
in the step of calculating the touch probability of each sub-area according to each group of touch trajectory data in the data set:
counting the trigger frequency of each group of touch track data to each pixel point of each subarea;
and calculating the proportion of the triggered pixel points in each sub-region in all the pixel points to obtain the touch probability of each sub-region.
The mobile terminal 800 can implement each process implemented by the mobile terminal in the foregoing embodiments, and details are not repeated here to avoid repetition.
The mobile terminal dynamically adjusts the fingerprint identification area according to the operation of the user on the touch screen, the holding gesture does not need to be adjusted by the user, the problem that the finger touch area is deviated from the fingerprint identification area is avoided, and the usability and the success rate of fingerprint identification are improved.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, the technical solution of the present invention or a part thereof which substantially contributes to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (2)
1. A fingerprint identification method is applied to a mobile terminal with a touch screen, and comprises the following steps:
determining a fingerprint identification area on the touch screen according to the operation of a user on the touch screen;
collecting fingerprint data in the fingerprint identification area, and verifying the collected fingerprint data;
the determining a fingerprint identification area on the touch screen according to the operation of the user on the touch screen includes:
selecting an area with the highest touch probability from the touch screen as a fingerprint identification area;
before the selecting the area with the highest touch probability from the touch screen as the fingerprint identification area, the method further comprises the following steps:
dividing the whole touch screen into areas according to the set shape and size of the fingerprint identification area;
when the mobile terminal detects a scene needing a fingerprint identification function, the step of determining a fingerprint identification area on the touch screen according to the operation of a user on the touch screen is executed;
before determining the fingerprint identification area on the touch screen according to the operation of the user on the touch screen, the method further includes:
counting touch track data of a user operating on a touch screen in real time, and storing the touch track data into a touch track database;
selecting an area with the highest touch probability from the touch screen as a fingerprint identification area, wherein the fingerprint identification area comprises the following steps:
calculating the touch probability of each area on the touch screen according to the touch track data in the touch track database;
selecting an area with the highest touch probability as a fingerprint identification area;
the calculating the touch probability of each area on the touch screen according to the touch track data in the touch track database comprises:
selecting the latest touch track data with the preset group number from the touch track database as a data set;
dividing the touch screen into a plurality of sub-areas, and calculating the touch probability of each sub-area according to each group of touch track data in the data set;
the selecting the area with the highest touch probability as the fingerprint identification area comprises the following steps:
sequencing the touch probabilities of the sub-areas, and selecting the sub-area with the highest touch probability as a fingerprint identification area;
the calculating the touch probability of each sub-area according to each group of touch trajectory data in the data set comprises:
counting the trigger frequency of each group of touch track data to each pixel point of each subarea;
and calculating the proportion of the triggered pixel points in each sub-region in all the pixel points to obtain the touch probability of each sub-region.
2. A mobile terminal, characterized in that, the mobile terminal includes a touch screen, still includes:
the mobile terminal comprises a fingerprint identification area judging module, a fingerprint identification area judging module and a fingerprint identification area judging module, wherein the fingerprint identification area judging module is used for determining a fingerprint identification area on the touch screen according to the operation of a user on the touch screen when the mobile terminal detects a scene needing a fingerprint identification function;
the fingerprint acquisition module is used for acquiring fingerprint data in the fingerprint identification area and verifying the acquired fingerprint data;
the fingerprint identification area determination module includes:
the touch probability analysis submodule is used for selecting an area with the highest touch probability from the touch screen as a fingerprint identification area;
the fingerprint identification area judgment module is specifically used for carrying out area division on the whole touch screen according to the set shape and size of the fingerprint identification area;
the mobile terminal further includes:
the statistical module is used for counting touch track data of a user operating on the touch screen in real time and storing the touch track data into a touch track database;
the touch probability analysis submodule is specifically used for calculating the touch probability of each area on the touch screen according to the touch track data in the touch track database, and selecting the area with the highest touch probability as a fingerprint identification area;
the touch probability analysis submodule includes:
the data selection unit is used for selecting the latest touch track data with the preset group number from the touch track database as a data set;
the area calculation unit is used for dividing the touch screen into a plurality of sub-areas and calculating the touch probability of each sub-area according to each group of touch track data in the data set;
the sorting unit is used for sorting the touch probabilities of the sub-areas and selecting the sub-area with the highest touch probability as the fingerprint identification area;
the region calculation unit includes:
the trigger frequency counting subunit is used for counting the trigger frequency of each group of touch track data to each pixel point of each subarea;
and the proportion calculation subunit is used for calculating the proportion of the triggered pixel points in each sub-region in all the pixel points to obtain the touch probability of each sub-region.
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| CN107608615B (en) * | 2017-09-11 | 2020-07-24 | Oppo广东移动通信有限公司 | Fingerprint identification function starting method and device, terminal and storage medium |
| CN108200228B (en) * | 2017-11-28 | 2020-07-31 | 努比亚技术有限公司 | Terminal fingerprint identification module management method, terminal and computer readable storage medium |
| CN109842491B (en) * | 2017-11-28 | 2021-08-24 | 上海耕岩智能科技有限公司 | Electronic equipment |
| CN108196740B (en) * | 2017-11-28 | 2019-08-20 | 维沃移动通信有限公司 | A kind of icon display method, device and mobile terminal |
| CN109145735A (en) * | 2018-07-17 | 2019-01-04 | 努比亚技术有限公司 | Finger scan method, terminal and computer readable storage medium under a kind of screen |
| CN109164972B (en) * | 2018-08-23 | 2021-01-01 | Oppo（重庆）智能科技有限公司 | Control method, control device and mobile terminal |
| CN111860037A (en) * | 2019-04-25 | 2020-10-30 | 北京小米移动软件有限公司 | Calibration method and device for fingerprint acquisition area |
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