WO2020061751A1 - 指纹识别的方法和装置 - Google Patents

指纹识别的方法和装置 Download PDF

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Publication number
WO2020061751A1
WO2020061751A1 PCT/CN2018/107363 CN2018107363W WO2020061751A1 WO 2020061751 A1 WO2020061751 A1 WO 2020061751A1 CN 2018107363 W CN2018107363 W CN 2018107363W WO 2020061751 A1 WO2020061751 A1 WO 2020061751A1
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WO
WIPO (PCT)
Prior art keywords
preset
fingerprint
touch
areas
area
Prior art date
Application number
PCT/CN2018/107363
Other languages
English (en)
French (fr)
Inventor
王信亮
吴东承
胡荣英
Original Assignee
深圳市汇顶科技股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳市汇顶科技股份有限公司 filed Critical 深圳市汇顶科技股份有限公司
Priority to PCT/CN2018/107363 priority Critical patent/WO2020061751A1/zh
Priority to CN201880001848.2A priority patent/CN109328349B/zh
Publication of WO2020061751A1 publication Critical patent/WO2020061751A1/zh

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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
    • 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
    • G06F3/0414—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means using force sensing means to determine a position
    • 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
    • G06V40/13—Sensors therefor

Definitions

  • the present application relates to the field of biometric identification, and in particular, to a method and a device for fingerprint identification.
  • mobile terminal authentication methods mainly include passwords and biometrics.
  • the password category mainly includes two types of keyboard password and pattern password.
  • biometrics are widely used in fingerprint recognition schemes. Each of these two categories has disadvantages in terms of security authentication: passwords are easily leaked, and biometrics can be forged.
  • the application provides a method and a device for fingerprint identification, which can improve the security performance of fingerprint identification.
  • a fingerprint recognition method is provided.
  • the method is applied to a fingerprint recognition device.
  • the fingerprint recognition device includes M sensing areas, where M is a positive integer greater than 1, and the method includes: passing the M N sensing areas to obtain N first touch signals, the N first touch signals corresponding to the N touch areas one by one, and any one of the N touch areas is one of the M sensing areas, N is a positive integer; obtaining N fingerprint images corresponding to the N first touch signals in a one-to-one manner; if the N touch areas match a preset area group, and the N fingerprint images and a preset fingerprint The image groups match, and it is determined that the N fingerprint images are successfully identified, and any one of the preset region groups is one of the M sensing regions.
  • the N fingerprint images matching the preset fingerprint image group include: the preset fingerprint image group includes N preset fingerprint images, The ith fingerprint image in the N fingerprint images matches the ith preset fingerprint image in the N preset fingerprint images, where the N fingerprint images are obtained according to the N first touches.
  • the method further includes: acquiring N second touch signals through the M sensing regions;
  • the one-to-one fingerprint images corresponding to the two touch signals are the N preset fingerprint images, and the N preset fingerprint images are arranged in a chronological order in which the N second touch signals are obtained;
  • the one-to-one corresponding sensing regions are the N preset regions, and the N preset regions are arranged in a time sequence of acquiring the N second touch signals.
  • the method further includes: acquiring N second touch signals through the M sensing regions; and acquiring the N second touch signals At least one fingerprint image corresponding to a touch signal, the preset fingerprint image group includes the at least one fingerprint image; and acquiring a sensing area corresponding to the N second touch signal one-to-one is the N preset areas, the The N preset regions are arranged in a time sequence of acquiring the N second touch signals.
  • the N fingerprint images are matched with the preset fingerprint image group, including: the preset fingerprint image group includes N Preset fingerprint images, the ith fingerprint image in the N fingerprint images and the ith preset fingerprint image in the N preset fingerprint images match, wherein the N fingerprint images are
  • the sensing area corresponding to the touch area belongs to at least one sensing area corresponding to the preset area group, and any two preset areas in the preset area group are different sensing areas among the M sensing areas.
  • the method further includes: acquiring N second touch signals through the M sensing regions;
  • the one-to-one fingerprint images corresponding to the two touch signals are the N preset fingerprint images, and the N preset fingerprint images are arranged in a chronological order in which the N second touch signals are obtained;
  • At least one sensing area of the two touch signals is determined as a preset area in the preset area group, and the preset area group includes at least one preset area.
  • the N fingerprint images matching the preset fingerprint image group include: the preset fingerprint image group exists A preset fingerprint image that matches any one of the N fingerprint images; the N touch areas that match the preset area group include: any one of the N touch areas corresponds to a touch area
  • the sensing area belongs to at least one sensing area corresponding to the preset area group, and any two preset areas in the preset area group are different sensing areas among the M sensing areas.
  • the method further includes: acquiring N second touch signals through the M sensing regions; and acquiring the N second touch signals At least one fingerprint image corresponding to a touch signal, the preset fingerprint image group includes the at least one fingerprint image; and determining at least one sensing area in which the N second touch signals are detected as the preset area group A preset area, and the preset area group includes at least one preset area.
  • each of the M sensing regions includes a touch sensor, and the touch sensor is configured to sense a touch operation and generate a touch. signal.
  • a plurality of sensing areas are set in a fingerprint recognition device by splicing multiple touch sensors, so that a user can selectively trigger all or part of the sensing areas to verify the fingerprint image of the user. At the same time, it can also verify the position and sequence of the trigger sensing area, increasing the security performance of fingerprint recognition. For example, when entering fingerprints, the greater the number of entered fingers, the higher the security of authentication; the more sensors triggered, the higher the security of authentication.
  • a fingerprint identification device for performing the foregoing first aspect or the method in any possible implementation manner of the first aspect.
  • the fingerprint identification device includes a unit for performing the foregoing first aspect or the method in any possible implementation manner of the first aspect.
  • a terminal device is provided to execute the foregoing first aspect or the method in any possible implementation manner of the first aspect.
  • the terminal device includes a display screen and a fingerprint identification device in the second aspect, wherein the fingerprint identification device includes a unit for performing the foregoing first aspect or the method in any possible implementation manner of the first aspect.
  • a terminal device including: a storage unit and a processor, where the storage unit is configured to store instructions, the processor is configured to execute the instructions stored in the memory, and when the processor executes the instructions stored in the memory The execution causes the processor to execute the method in the first aspect or any possible implementation manner of the first aspect.
  • a computer-readable medium for storing a computer program, the computer program including instructions for performing the first aspect or the method in any possible implementation of the first aspect.
  • a computer program product including instructions is provided, and when the computer runs the finger of the computer program product, the computer executes the first aspect described above or the fingerprint in any possible implementation manner of the first aspect Method of identification.
  • the computer program product can be run on the terminal device of the third aspect.
  • FIG. 1 is a schematic flowchart of a fingerprint recognition method according to an embodiment of the present application.
  • FIG. 2 is a schematic diagram showing a position of a sensing area on a display screen of a mobile phone according to an embodiment of the present application.
  • FIG. 3 is a schematic flowchart of a fingerprint entry process according to an embodiment of the present application.
  • FIG. 4 is a schematic flowchart of a fingerprint verification process according to an embodiment of the present application.
  • FIG. 5 is a schematic block diagram of a fingerprint recognition device according to an embodiment of the present application.
  • FIG. 6 is a schematic plan view of an electronic device to which the present application is applicable.
  • Fig. 7 is a schematic sectional view of the electronic device shown in Fig. 6 along A-A '.
  • the under-screen fingerprint recognition technology refers to installing a fingerprint recognition module (such as a fingerprint recognition module) under the display screen, thereby implementing fingerprint recognition operations in the display area of the display screen.
  • Area Set the fingerprint collection area As electronic devices enter the era of full-screens, the fingerprint collection area on the front of electronic devices is squeezed by full-screens. Therefore, under-display or under-screen fingerprint recognition technology is receiving more and more attention.
  • the under-screen fingerprint recognition technology refers to installing a fingerprint recognition module (such as a fingerprint recognition module) under the display screen, thereby implementing fingerprint recognition operations in the display area of the display screen. Area Set the fingerprint collection area.
  • the fingerprint recognition technology under the optical screen uses the light returned from the top surface of the device display component for fingerprint sensing and other sensing operations.
  • the returned light carries information of an object (such as a finger) that is in contact with the top surface, and a specific optical sensor module located below the display screen is realized by collecting and detecting the returned light.
  • the optical sensor module can be designed to achieve the desired optical imaging by properly configuring the optical elements for collecting and detecting the returned light.
  • FIG. 6 and 7 are schematic diagrams of the electronic device 100 to which the fingerprint identification device can be applied, wherein FIG. 6 is a schematic front view of the electronic device 100, and FIG. 7 is a partial cross-section of the electronic device 100 shown in FIG. Schematic.
  • the electronic device 100 may be a smart phone or other mobile terminal, and includes a display screen 120 and a fingerprint recognition module 140.
  • the display screen 120 has a display area 102 and the fingerprint.
  • the identification module 140 is disposed below the display screen 120.
  • the display screen 120 may be a self-luminous display screen, which uses a display unit with self-luminescence as a display pixel.
  • the display 120 may be an Organic Light-Emitting Diode (OLED) display or a Micro-LED display.
  • the display screen 120 may also be a liquid crystal display (Liquid Crystal Display, LCD) or other passive light-emitting display, which is not limited in this embodiment of the present application.
  • the display screen 120 may be, for example, a touch display screen, which can not only perform screen display, but also detect a user's touch or press operation, thereby providing a human-computer interaction interface for the user.
  • the electronic device 100 may include a touch sensor, and the touch sensor may specifically be a touch panel (TP), which may be disposed on the surface of the display screen 120 or partially Integrated or integrated into the display screen 120 to form the touch display screen.
  • TP touch panel
  • the fingerprint identification module 140 may be specifically an optical fingerprint identification module, which is mainly used to collect fingerprint information (such as fingerprint image information) of a user.
  • the fingerprint recognition module 140 may be disposed at least in a partial area below the display screen 120, so that the fingerprint collection area (or sensing area) 130 of the fingerprint recognition module 140 is located at least partially.
  • the area of the fingerprint collection area 130 may be different from the area of the fingerprint recognition module 140, for example, by designing a light path for lens imaging, a reflective folding light path design, or other light convergence or reflection, etc.
  • the light path design can make the area of the fingerprint collection area 130 of the fingerprint identification module 140 larger than the area of the fingerprint identification module 140.
  • the fingerprint collection area 130 of the fingerprint recognition module 140 may also be designed to be consistent with the area of the fingerprint recognition module 140.
  • the fingerprint recognition module 140 may specifically include a plurality of optical fingerprint sensors 142 (hereinafter also referred to as sensor chips) having an optical sensing array; the plurality of optical fingerprint sensors 142 may be disposed side by side on the Below the display 120.
  • Each optical sensing array 142 includes a plurality of optical sensing units, and the area where the optical sensing array is located corresponds to the sensing area 103 of the optical fingerprint sensor.
  • the sensing areas of the plurality of optical fingerprint sensors are collectively formed.
  • the fingerprint collection area 130 of the fingerprint identification module 140 That is, the fingerprint collection area 130 of the fingerprint recognition module 140 may include multiple sub-areas, each of which corresponds to a sensing area of one of the optical fingerprint sensor or the optical sensing array. As shown in FIG.
  • the fingerprint collection area 130 is located in the display area 102 of the display screen 120. Since multiple optical fingerprint sensors are arranged side by side, the fingerprint collection area 130 of the fingerprint recognition module 140 can be Extending to the main area of the lower half of the display area 102, that is, extending to the area where the finger is usually pressed, thereby implementing a blind-type fingerprint input operation.
  • the fingerprint collection area 130 may also be extended to a half display area or even the entire display area, thereby realizing half-screen or full-screen fingerprint detection. Therefore, when the user needs to unlock the electronic device 100 or perform other fingerprint verification, the user only needs to press his / her finger on the fingerprint collection area 130 located on the display screen 120 to implement a fingerprint input operation. Since fingerprint collection and detection can be implemented inside the display area 102 of the display screen 120, the electronic device 100 adopting the above structure does not need a special reserved space on the front side to set fingerprint keys (such as the Home key), so a full screen solution can be adopted. Therefore, the display area 102 of the display screen 120 can extend substantially to the entire front of the electronic device 100.
  • the plurality of optical fingerprint sensors 142 of the fingerprint recognition module 140 may be individually packaged sensor chips, or may be fabricated into multiple chips (Die) and packaged in the same chip package. It can also be fabricated in different regions of the same chip (Die) through semiconductor processes.
  • the optical fingerprint sensor 142 may include a reading circuit and / or other auxiliary circuits that are electrically connected to the optical sensing array in addition to the optical sensing array described above.
  • an optical path modulator 144 may be further disposed above the optical fingerprint sensor 142.
  • the optical path modulator 144 can be attached as an independent optical component above the sensing array of the optical fingerprint sensor 142, or it can be integrated inside the chip of the optical fingerprint sensor 142 through a semiconductor process to achieve Ultra-thin fingerprint recognition module 140.
  • the optical path modulator 144 may be a light collimator using a through-hole array with a high aspect ratio, and is mainly used for collimating, modulating, and imaging the fingerprint detection light traveling downward to realize the slave finger The reflected light reflected from the surface is guided to the sensing array for optical detection to obtain fingerprint image information.
  • each optical path modulator 144 corresponds to an optical fingerprint sensor and is attached respectively. It is disposed above the corresponding optical fingerprint sensor 142.
  • the multiple optical fingerprint sensors 142 may also share a whole optical path modulator 144, that is, the optical path modulator 144 has a sufficiently large area to cover the sensing array of the multiple optical fingerprint sensors 142.
  • optical elements such as a filter or a filter
  • Other optical films are mainly used to isolate the influence of external interference light on optical fingerprint detection.
  • the filter can be used to filter out ambient light that penetrates a finger and enters the image recognition sensor 130 through the display screen 120. Similar to the optical path modulator 144, the filter can be used at Each optical fingerprint sensor 142 is separately set to filter out interference light, or a large area filter may be used to cover the multiple optical fingerprint sensors 142 at the same time.
  • the optical path modulator 144 may also be replaced by an optical lens (Lens).
  • a small hole may be formed by a light-shielding material above the optical lens to cooperate with the optical lens to converge fingerprint detection light to the optical fingerprint sensor 142 below.
  • each optical fingerprint sensor 142 may be configured with an optical lens for fingerprint imaging, or the multiple optical fingerprint sensors 142 may also use the same optical lens to implement light convergence and fingerprint imaging.
  • each optical fingerprint sensor 142 may even have two inductive arrays (Dual array) or multiple inductive arrays (Multi-Array), and two or more optical lenses may be configured to cooperate with the two One or more sensing arrays perform optical imaging, thereby reducing the imaging distance and enhancing the imaging effect.
  • the light-emitting layer of the display 120 has an array of OLED display units arranged in an array.
  • the fingerprint recognition module 140 can use the OLED display.
  • the OLED display unit (ie, the OLED light source) of the screen 120 located in the fingerprint collection area 130 is used as an excitation light source for fingerprint detection and identification.
  • the fingerprint identification module 140 may also use a built-in light source or an external light source to provide a light signal for fingerprint detection and identification.
  • the under-screen fingerprint recognition device can be applied not only to self-luminous displays such as OLED displays, but also to non-self-luminous displays, such as liquid crystal displays or other passive light-emitting displays.
  • the pair may further include an excitation light source for optical fingerprint detection.
  • the excitation light source may be an infrared light source. Or a light source with a specific wavelength of invisible light.
  • an infrared light source it can be disposed below the backlight module of the liquid crystal display or an edge area below the protective cover of the electronic device 100, and the fingerprint recognition module 140 is disposed on the backlight.
  • the backlight module through openings or other optical design of film layers such as diffusion sheet, brightness enhancement sheet, reflection sheet to allow fingerprint detection light to pass through the liquid crystal panel and the backlight module and reach the fingerprint identification module Group 140 of optical fingerprint sensors.
  • the optical sensing array of the fingerprint identification module 140 is specifically a photodetector array (also called a photodetector array), which includes a plurality of photodetectors distributed in an array.
  • the device can be used as an optical sensing unit as described above, and a micro lens can be formed above the light detector to improve the imaging effect of the fingerprint image.
  • the display unit of the fingerprint collection area 130 or an additional configured fingerprint detection excitation light source emits light.
  • the finger reflects and forms reflected light, where the reflected light can carry fingerprint information of the user's finger.
  • the reflected light is returned to the display screen 120 and received by the photodetector array of the fingerprint recognition module 140 below it and converted into a corresponding electrical signal, that is, a fingerprint detection signal.
  • the electronic device 100 can obtain the user's fingerprint information based on the fingerprint detection signal, and can further perform fingerprint matching verification to complete the identity verification of the current user in order to confirm whether he has the authority to perform corresponding operations on the electronic device 100. operating.
  • the electronic device 100 further includes a protective cover 110, which may be specifically a transparent cover, such as a glass cover or a sapphire cover, which is located on the display screen 120 And covers the front of the electronic device 100, and a surface of the protective cover 110 may further be provided with a protective layer. Therefore, in the embodiment of the present application, the so-called finger pressing on the display screen 120 may actually mean that the finger presses the cover 110 above the display screen 120 or the surface of the protective layer covering the cover 110.
  • a protective cover 110 which may be specifically a transparent cover, such as a glass cover or a sapphire cover, which is located on the display screen 120 And covers the front of the electronic device 100, and a surface of the protective cover 110 may further be provided with a protective layer. Therefore, in the embodiment of the present application, the so-called finger pressing on the display screen 120 may actually mean that the finger presses the cover 110 above the display screen 120 or the surface of the protective layer covering the cover 110.
  • a circuit board 150 such as a flexible printed circuit (FPC) may be further provided below the fingerprint recognition module 140, and the fingerprint recognition module 140 may be soldered to the circuit through a pad.
  • the board 150 is used for electrical interconnection and signal transmission with other peripheral circuits or other components of the electronic device 100 through the circuit board 150.
  • the fingerprint recognition module 140 may receive the control signal of the processing unit of the electronic device 100 through the circuit board 150, and may further output the fingerprint detection signal to the electronic device through the circuit board 150. 100 processing unit or control unit.
  • FIG. 1 shows a schematic flowchart of a fingerprint recognition method according to an embodiment of the present application.
  • the method 1000 may be executed by a fingerprint recognition device.
  • the fingerprint recognition device may include M sensing regions, where M is a positive integer greater than 1,
  • the method 1000 includes: S1010, obtaining N first touch signals through the M sensing areas, the N first touch signals corresponding to the N touch areas one by one, and any one of the N touch areas is the M One of the sensing areas, N is a positive integer; S1020, obtaining N fingerprint images corresponding to the N first touch signals one to one; S1030, if the N touching areas match a preset area group, and The N fingerprint images are matched with a preset fingerprint image group, and it is determined that the N fingerprint images are successfully identified, and any one of the preset area groups is one of the M sensing areas.
  • the method 1000 may be executed by a fingerprint recognition device, which may be located in various electronic devices for performing fingerprint recognition, and the electronic device may be a mobile phone, a tablet computer, or other wearable devices.
  • the fingerprint recognition device includes M sensing areas, and the M sensing areas can be used to obtain a fingerprint image.
  • the fingerprint identification device may be located in an electronic device, and the electronic device may include a display screen, which may be used to display an image to the user. Therefore, the M included in the fingerprint identification device may be displayed to the user through the display screen. The location of each sensing area.
  • the fingerprint recognition device may be an under-screen fingerprint sensor, which is located below the display screen.
  • the fingerprint recognition device may be an optical fingerprint recognition module or other fingerprint recognition device. The embodiments of the present application are not limited thereto.
  • the fingerprint recognition device may further include a touch sensor, and each of the M sensing areas may correspond to one touch sensor, or a plurality of sensing areas of the M sensing areas may correspond to one touch sensor.
  • Each touch sensor can be used to sense a user's touch operation. When the user touches any sensing area through the display screen, the touch sensor in the sensing area senses the touch operation and generates a touch signal accordingly, so that the fingerprint recognition device can detect The touch signal generates a fingerprint image of a user who performs a touch operation, and can also record in which sensing area a touch operation corresponding to the fingerprint image is detected.
  • the fingerprint recognition device in the mobile phone includes M sensing areas. Assuming that M is set to 9, FIG. 2 shows the position of the sensing area displayed on the display screen of the mobile phone according to the embodiment of the application Schematic. As shown in FIG. 2, it is assumed here that the fingerprint recognition device in the mobile phone includes M sensing areas 220, that is, 9 sensing areas in a dashed box, which are 9 boxes of 1-9, which are digitally identified in FIG. 2, respectively.
  • the sensing areas indicated by the solid-line boxes all include a touch sensor. When the user's finger touches any area, for example, the sensing area 5 in FIG. 2 is touched.
  • the touch sensor of the sensing area 5 senses the user's touch operation and generates a touch. Signal, so that the fingerprint recognition device generates a fingerprint image of the user according to the touch signal, and records that the fingerprint image corresponds to the sensing area 5.
  • the M sensing areas included in the fingerprint recognition device may not be rectangular areas as shown in FIG. 2, and may also be areas of other shapes, such as circles or triangles, and the shapes of the M sensing areas may be the same. Can be different.
  • the M sensing areas may not be distinguished by a numerical label as shown in FIG. 2, that is, when displayed to a user through the display screen 210, a numerical label as shown in FIG. 2 may be displayed, and each sensing area is distinguished by a numerical label Or, it is not necessary to display numerical labels, for example, only the shape of each sensing area is displayed. Assuming that the shape of each sensing area is different, different sensing areas can be distinguished by different shapes. Or, no number is displayed on each sensing area.
  • the M sensing areas are arranged in a certain order, and the embodiment of the present application is not limited thereto.
  • the positions of the M sensing areas may be displayed at any position on the display screen 210.
  • the M sensing areas are realistically connected to the lower half of the entire display screen 210, or, It may also be displayed on the upper half of the entire screen 210, or evenly displayed on the entire display screen 210, and the embodiment of the present application is not limited thereto.
  • each sensing area can acquire a fingerprint image and record the position of the sensing area where the fingerprint image is obtained. Therefore, when the fingerprint image is identified and verified, Verification of the corresponding sensing area can be added to further increase the security of fingerprint recognition.
  • the complete fingerprint identification process can usually be divided into two parts, one is the fingerprint entry process and the other is the fingerprint verification process.
  • the user enters a preset fingerprint password to encrypt the application object.
  • the fingerprint verification process the user enters the fingerprint password that needs to be verified, and then decrypts it after verification by the fingerprint recognition device. Access the application object encrypted by the preset fingerprint password; otherwise, if authentication fails, you cannot access.
  • the information that needs to be recorded in the corresponding fingerprint entry process may be different, the following will describe the different fingerprint verification processes as well as the corresponding fingerprint entry processes.
  • steps S110 to S130 in the above method 1000 mainly describe the fingerprint verification process described above.
  • the fingerprint recognition device can obtain N first touch signals through M sensing areas, wherein each first touch signal corresponds to one touch area, and the N first touch signals correspond to N touch areas.
  • the touch area refers to the sensing area where a touch operation is detected, and the sensing area is the touch area.
  • the fingerprint recognition device may also record the order of the N touch areas, for example, the N touch areas may be arranged according to the acquisition time of the corresponding first touch signal.
  • the sensing area for obtaining the first first touch signal is the sensing area 4 in FIG. 2, then the sensing area 4 is the touch area 4 and is ranked first; and then the recording is acquired for the second
  • the position of the sensing area of the first touch signal for example, the second is the sensing area 8, that is, the touch area 8 is in the second position, and so on.
  • the order of the touch areas of the first touch signal is the sensing area 4 in FIG. 2, then the sensing area 4 is the touch area 4 and is ranked first; and then the recording is acquired for the second
  • the position of the sensing area of the first touch signal for example, the second is the sensing area 8, that is, the touch area 8 is in the second position, and so on.
  • the order of the touch areas of the first touch signal is the sensing area 8 in the second position, and so on.
  • the fingerprint recognition device obtains one-to-one corresponding N fingerprint images according to the N first touch signals, and the N fingerprint images are images of the user's fingerprint of the current touch sensing area, so that the fingerprint recognition device is in S1030. Determining whether the N fingerprint images are successfully identified according to whether the N fingerprint images match the preset fingerprint image group and whether the N touch areas match the preset area group, wherein the fingerprints included in the preset fingerprint image group
  • the image is a pre-registered fingerprint image, and any one of the preset areas is one of the M sensing areas, which represents a pre-registered fingerprint touch sensing area. Specifically, if the N touch areas match a preset area group and the N fingerprint images match the preset fingerprint image group, it is determined that the N fingerprint images are successfully identified; otherwise, the N fingerprints are confirmed. Image recognition failed.
  • determining whether any two fingerprint images match may include multiple methods. For example, according to the similarity of the two fingerprint images and according to a set threshold, it is determined whether the two fingerprint images match, or Other algorithms may be used to determine whether the two fingerprint images match, and the embodiments of the present application are not limited thereto.
  • the fingerprint recognition device can simultaneously perform fingerprint image and touch area verification while the user inputs the fingerprint to be recognized, which can reduce the waiting time of the user; or the fingerprint recognition device can also first collect the fingerprint image to be recognized and After touching the area, fingerprint verification is performed after all the collection. This may have a delay in verification. However, the latter can verify the number of fingerprint images and touch area to verify whether the number of fingerprints to be identified is the same as The number of preset fingerprint image groups or preset areas match. If they match, the fingerprint image and touch area verification are performed. If the numbers do not match, the fingerprint image and touch area verification may no longer be performed, and the verification fails directly.
  • the fingerprint image when verifying the fingerprint image and the touch area, the fingerprint image may be verified first and then the touch area may be verified, or the touch area may be verified first and then the fingerprint image may be verified, or simultaneously, the embodiment of the present application is not limited thereto.
  • the order of collecting and verifying N fingerprint images and N touch areas is not limited in the embodiment of the present application, and only the matching method and the matching result in the verification process are described.
  • the i-th fingerprint image of the N fingerprint images when verifying whether the i-th fingerprint image matches the preset fingerprint image group, the i + 1-th fingerprint image or other fingerprint images may not have been collected yet. Or the acquisition may have been completed; in addition, it may be verified whether the i-th fingerprint image matches the preset fingerprint image group, and then whether the i-th touch area matches the preset area group, or other
  • the verification sequence is not limited to this embodiment.
  • the application object may be encrypted according to the preset fingerprint image group and the corresponding preset area group. After the identification is successfully performed in S1030, the encrypted application object may be further decrypted, so that the user You can access the application or perform other operations on the application object.
  • matching the N fingerprint images with a preset fingerprint image group may include multiple methods.
  • the preset fingerprint image group may include N preset fingerprint images, and the N fingerprint images are matched with N preset fingerprint images.
  • the fingerprint images are matched one by one to determine whether each fingerprint image matches the corresponding preset fingerprint image, that is, the i-th fingerprint image in the N fingerprint images and the i-th fingerprint image in the N preset fingerprint images.
  • any fingerprint image in the N fingerprint images may be matched with a preset fingerprint image in a preset fingerprint image group to determine whether there is a mutual match. If there is a preset fingerprint image that matches the arbitrary fingerprint image in the preset fingerprint image group, the matching is successful.
  • the number of fingerprint images in the preset fingerprint image group is not limited, and may be greater than or equal to or less than N; or may include other matching methods, and the embodiment of the present application is not limited thereto.
  • only part of the fingerprint images in the N fingerprint images can be matched with a preset fingerprint image group to determine whether the matching is successful.
  • only matching non-repeating fingerprint images in the N fingerprint images are matched, and fingerprints corresponding to the same fingerprint are matched
  • the image is appropriately deleted, but this method is more complicated and less secure than matching all N fingerprint images.
  • matching the N touch areas with the preset area may also include multiple methods. For example, the order of the N touch areas may not be considered. If any one of the N touch areas has a corresponding response, If the area belongs to at least one sensing area corresponding to the preset area group, the touch area is considered to match the preset area group, where any two preset areas in the preset area group are different from the M sensing areas.
  • the sensing area, that is, the repeated area may not be recorded, so that there is no repeated area in the preset area group; or the arrangement order of the N touch areas may also be considered, and each touch area in the N touch areas is pressed according to The sequence is matched one by one.
  • the preset region group includes N preset regions, that is, the i-th touch region in the N touch regions and the i-th preset region in the N preset regions are When the same sensing area among the M sensing areas is determined, it is determined that the i-th touch area matches the i-th preset area, where the N touch areas are according to the time when the N first touch signals are obtained Sequentially, correspondingly, the N preset areas are arranged according to the time sequence of obtaining the touch signal when the preset fingerprint image is entered.
  • the N touched areas may include the same area, that is, the There are at least two touch areas in the N touch areas that are the same sensing area.
  • the embodiments of the present application are not limited to this.
  • the preset area group includes the number of preset areas equal to N, but it is not necessary to consider the order in which the N preset areas are recorded.
  • the method when matching the N fingerprint images with a preset fingerprint image group, the method is as follows: the preset fingerprint image group includes N preset fingerprint images, and the N fingerprint images are The i-th fingerprint image in the N-th fingerprint image is matched with the i-th preset fingerprint image in the N preset fingerprint images, where the N fingerprint images are arranged in a time sequence of obtaining the N first touch signals;
  • the method is as follows: determine whether the sensing area corresponding to any one of the N touch areas belongs to at least one sensing area corresponding to the preset area group, in the preset area group Any two preset regions are different sensing regions among the M sensing regions.
  • the i fingerprint image in the N fingerprint images and the i fingerprint image in the N preset fingerprint images match, and the sensing area corresponding to any one of the N touch areas belongs to at least one sensing area corresponding to the preset area group, it is determined that the N fingerprint images to be identified are successfully identified and verified; Otherwise, it is determined that the recognition verification has failed.
  • the fingerprint entry process that is, when recording a preset fingerprint image group and a preset area group, it includes: obtaining N second touch signals through M sensing areas,
  • the fingerprint images corresponding to the N second touch signals are N preset fingerprint images, that is, the preset fingerprint image group includes the N preset fingerprint images, and the N preset fingerprint images are obtained according to the N second touch signals.
  • the preset area group includes at least one preset area, and the preset area group does not include There are multiple preset areas corresponding to the same sensing area, that is, the preset areas in the preset area group are completely different, and the order of the preset area group may not be recorded.
  • the fingerprint recognition device shown in FIG. 2 includes 9 sensing areas as an example.
  • the sensing areas 4 and 5 can be determined to form a preset area group.
  • the fingerprint recognition device records the The preset area group includes two preset areas, which are preset areas 4 and 5, respectively. At this time, you can choose not to record the acquisition order of the two preset areas.
  • the fingerprint recognition device obtains three fingerprint images as a preset fingerprint image group, and the three preset fingerprint images included in the preset fingerprint image group. Need to record the obtained order, that is, the first preset fingerprint image is the right input index finger of the first input, the second preset fingerprint image is the right input middle finger of the second input, and the third preset fingerprint image is the third input Right index finger. Therefore, during the fingerprint entry process, the fingerprint recognition device needs to record the position of the preset area included in the preset area group and the preset fingerprint image group arranged in order.
  • the first touch area and the first fingerprint image can be obtained correspondingly.
  • matching the first fingerprint image with the first preset fingerprint image of the 3 preset fingerprint images included in the preset fingerprint image group that is, determining the first fingerprint Whether the image is the fingerprint image of the right index finger. If yes, it is determined that the first fingerprint image matches the preset fingerprint image group, otherwise it is determined not to match.
  • the second touch area corresponding to the second first touch signal and the second fingerprint image are continuously verified. During verification, the first touch is verified with the first touch. The area and the first fingerprint image process are the same. If the second touch area is area 4 or 5 in FIG. 2, it is determined that the second touch area matches the preset area group, otherwise it is determined not to match; Two fingerprint images, matching the second fingerprint image with the second preset fingerprint image of the three preset fingerprint images included in the preset fingerprint image group, that is, determining whether the second fingerprint image is a right hand If it is the middle finger fingerprint image, it is determined that the second fingerprint image matches the preset fingerprint image group, otherwise it is determined not to match.
  • the obtained N fingerprint images and the corresponding N touch areas are verified one by one. For example, 3 fingerprint images and 3 touch areas need to be verified here. If all fingerprint images and touch areas match, the verified N is determined.
  • the fingerprint images were successfully identified. For example, when the user touches the sensing area in the same order as when inputting the preset fingerprint image group and preset area group, and the finger touches the sensing area, or the user first touches the sensing area 5 with his right index finger, and then touches the sensing area with his right middle finger. 4.
  • the sensing regions for which the three second touch signals are acquired are regions 4, 4 and 5 as shown in FIG. 2, in which two regions overlap, or may be set as It is assumed that the region group includes N non-repeated preset regions.
  • the sensing regions for which three second touch signals are acquired are regions 3, 4, and 5 as shown in FIG.
  • the matching conditions can be set as follows: if the i-th fingerprint image in the N fingerprint images matches the i-th preset fingerprint image in the N preset fingerprint images, and the N touch areas The sensing area corresponding to each touch area in the N belongs to the N sensing areas corresponding to the N preset areas, then it is determined that the N fingerprint images to be identified are successfully identified and verified; otherwise, the identification verification is determined to have failed. Wherein, any two touch areas among the N touch areas are different sensing areas among the M sensing areas, and any two preset areas among the N preset areas are different sensing areas among the M sensing areas.
  • the preset fingerprint image group includes three preset fingerprint images, which are the right index finger, the middle finger, and the index finger, and the corresponding three preset regions are 3, 4, and 5.
  • the verification can be successful; Regions 3, 4, and 5, for example, in the order of 4, 5, and 3, can be successfully verified; however, if the user uses the wrong finger or the wrong order, or the touched sensing area is duplicated, or the touched sensing area includes except 3 Areas other than, 4, and 5 will fail verification.
  • the preset fingerprint image group includes N preset fingerprint images, and the N fingerprint images are used.
  • the i-th fingerprint image in the N-th fingerprint image is matched with the i-th preset fingerprint image in the N preset fingerprint images, where the N fingerprint images are arranged in a time sequence of obtaining the N first touch signals;
  • the matching method of the two touch areas and the preset area group is: the preset area group includes N preset areas, and the i-th touch area in the N touch areas and the i-th touch area in the N preset areas are determined. Whether the two preset regions are the same sensing region among the M sensing regions, wherein the N touch regions are arranged in a time sequence of acquiring the N first touch signals.
  • the obtained N fingerprint images to be identified and corresponding N touch areas according to the above matching method, if the i fingerprint image in the N fingerprint images and the i fingerprint image in the N preset fingerprint images The preset fingerprint images match, and the i-th touch area in the N touch areas and the i-th preset area in the N preset areas are the same sensing area among the M sensing areas, then It is determined that the identification verification of the N fingerprint images to be identified is successful; otherwise, it is determined that the identification verification has failed.
  • the fingerprint entry process that is, when recording a preset fingerprint image group and a preset area group, it includes: obtaining N second touch signals through M sensing areas,
  • the fingerprint images corresponding to the N second touch signals are N preset fingerprint images, that is, the preset fingerprint image group includes the N preset fingerprint images, and the N preset fingerprint images are obtained according to the N second touch signals.
  • the touch areas corresponding to the N second touch signals are determined to be the N preset areas, and the preset area group includes the N preset areas according to the acquired N second
  • the chronological order of the touch signals records the order of the N preset regions, where there may be multiple preset regions in the N preset regions corresponding to the same sensing region.
  • the fingerprint recognition device shown in FIG. 2 still includes 9 sensing areas as an example.
  • Sensing areas 4, 4, and 5, that is, three second touch signals are input, and in accordance with the order in which the three second touch signals are detected, it can be determined that the sensing areas 4, 4, and 5 form a preset area group, and the fingerprint recognition
  • the preset area group recorded by the device includes 3 preset areas, which are preset areas 4, 4, and 5, respectively. At this time, the preset area group may include repeated preset areas, and the three preset areas need to be recorded.
  • the acquisition order is to record the preset areas 4, 4 and 5 in order.
  • the fingerprint recognition device obtains three fingerprint images as a preset fingerprint image group, and the three preset fingerprint images included in the preset fingerprint image group also need to record the obtained order That is, the first preset fingerprint image is the first input right hand index finger, the second preset fingerprint image is the second input right middle finger, and the third preset fingerprint image is the third input right hand index finger. Therefore, during the fingerprint entry process, the fingerprint recognition device needs to record a preset area group arranged in order and a preset fingerprint image group arranged in order, that is, the fingerprint recognition device records the first right hand index finger obtained for the preset area 4. Is the preset fingerprint image, the second is the fingerprint image of the right middle finger obtained in preset area 4 is the preset fingerprint image, and the third is the fingerprint image of the right index finger obtained in preset area 5 is the preset fingerprint image .
  • the first touch area and the first fingerprint image can be obtained correspondingly.
  • the first touch area is The preset area 4 that is the first in the preset area group, that is, the first touch area and the first preset area correspond to the same sensing area. If the first touch area is area 4 in FIG. 2 , It is determined that the first touch area matches the preset area group, otherwise it is determined not to match; and for the first fingerprint image, the first fingerprint image and the 3 presets included in the preset fingerprint image group The first preset fingerprint image in the fingerprint image is matched, that is, it is determined whether the first fingerprint image is the fingerprint image of the right index finger. If so, it is determined that the first fingerprint image matches the preset fingerprint image group, otherwise it is determined. Mismatch.
  • the second touch area corresponding to the second first touch signal and the second fingerprint image are continuously verified. During verification, the first touch is verified with the first touch. The area and the first fingerprint image process are the same. If the second touch area and the second preset area correspond to the same sensing area, that is, corresponding to sensing area 4, then it is determined that the second touch area matches the preset area group.
  • the obtained N fingerprint images and the corresponding N touch areas are verified one by one. For example, 3 fingerprint images and 3 touch areas need to be verified here. If all fingerprint images and touch areas match, the verified N is determined.
  • the fingerprint images were successfully identified. For example, the user can verify successfully only when he first touches the sensing area 4 with the right index finger, then touches the sensing area 4 with the middle finger of the right hand, and finally touches the sensing area 5 with the index finger of the right hand, otherwise the verification fails.
  • the order of fingerprint images and the order of touch areas need to be verified. There are many verification conditions and the security performance is relatively high.
  • a method is used to determine whether there is a fingerprint in the preset fingerprint image group and any one of the N fingerprint images.
  • Image matching preset fingerprint image when N touch areas are matched with a preset area group, the method is as follows: the preset area group includes N preset areas, and each touch area in the N touch areas is determined. Whether the corresponding sensing area belongs to the N sensing areas corresponding to the N preset areas. Any two touch areas in the N touch areas are different sensing areas in the M sensing areas. Any of the N preset areas is arbitrary. The two preset regions are different sensing regions among the M sensing regions.
  • the matching method described above for the obtained N fingerprint images to be identified and the corresponding N touch areas, if the preset fingerprint image group matches any of the fingerprint images of the N fingerprint images, A preset fingerprint image; and the sensing area corresponding to any one of the N touch areas belongs to at least one sensing area corresponding to the N preset areas, it is determined that the N fingerprint images to be identified are successfully identified and verified; otherwise, it is determined Identification verification failed.
  • the fingerprint entry process that is, when recording a preset fingerprint image group and a preset area group, it includes: obtaining N second touch signals through M sensing areas; obtaining the N At least one fingerprint image corresponding to the second touch signal, the preset fingerprint image group includes the at least one fingerprint image, wherein the at least one preset fingerprint image may or may not be recorded according to the corresponding N second touch signals obtained Chronological sequence; in addition, it is determined that the touch area corresponding to the N second touch signals is the N preset areas, the N preset areas form a preset area group, and the N preset areas do not exist The plurality of preset areas corresponding to the same sensing area, that is, the N preset areas are completely different, and the order of the N preset areas may or may not be recorded.
  • the fingerprint recognition device shown in FIG. 2 still includes 9 sensing areas as an example.
  • the preset area group set does not include duplicate areas. Therefore, respectively, With the right index finger, the right middle finger, and the right index finger touch the sensing areas 3, 4 and 5 in sequence, that is, three second touch signals are input, and in accordance with the order in which the three second touch signals are detected, the sensing can be determined in order.
  • Areas 3, 4, and 5 form a preset area group.
  • the preset area group recorded by the fingerprint recognition device includes 3 preset areas, which are preset areas 3, 4, and 5, respectively. At this time, you can choose to record or not record these three areas. Order of obtaining a preset area.
  • the fingerprint recognition device obtains three fingerprint images, but two fingerprint images in the three fingerprint images may be the same or substantially the same.
  • the fingerprint recognition device may Keep one of the two identical fingerprint images, that is, the set of preset fingerprint image groups includes only two different preset fingerprint images of the right index finger and middle finger, or the fingerprint recognition device will obtain 3 fingerprint images as
  • the preset fingerprint image includes the three preset fingerprint images in the preset fingerprint image group, and the fingerprint recognition device may choose to record or not record the acquisition order of the three preset fingerprint images. Therefore, during the fingerprint entry process, the fingerprint recognition device needs to record a preset fingerprint image group and a preset area group.
  • the first touch area and the first fingerprint image can be obtained correspondingly.
  • the second touch area corresponding to the second first touch signal and the second fingerprint image are continuously verified.
  • the first touch is verified with the first touch.
  • the area and the first fingerprint image process are the same, but the second touch area cannot be related to the first touch area, that is, if the second touch area is area 3, 4 or 5 in FIG. 2 and the second touch area Different from the first touch area, it is determined that the second touch area matches the preset area group, otherwise it is determined not to match; and for the second fingerprint image, the second fingerprint image is matched with the preset fingerprint image group
  • the preset fingerprint image included in the image is matched, that is, it is determined whether the second fingerprint image is the fingerprint image of the right index finger or the middle finger. If so, it is determined that the second fingerprint image matches the preset fingerprint image group, otherwise it is not determined. match.
  • the obtained N fingerprint images and the corresponding N touch areas are verified one by one. For example, 3 fingerprint images and 3 touch areas need to be verified here. If all fingerprint images and touch areas match, the verified N is determined.
  • the fingerprint images were successfully identified. For example, for example, when the user touches the sensing area in the same order as when inputting the preset fingerprint image group and preset area group, and the finger touches the sensing area, or the user touches the sensing area 3, 4, and 5 with the right index finger, or Touching the sensing areas 4, 5, and 3, respectively, meets the above verification conditions, and it can be confirmed that the verification is passed; however, if the user touches sensing areas 3, 3, and 4, or sensing areas 4, 5, and 6, respectively with his right index finger, then If the above verification conditions are not met, the verification fails.
  • a method is used to determine whether there is a fingerprint in the preset fingerprint image group and any one of the N fingerprint images.
  • Image matching preset fingerprint image when matching N touch areas with a preset area group, the method is: the preset area group includes N preset areas, and the i-th touch in the N touch areas is determined Whether the area and the i-th preset area of the N preset areas are the same sensing area among the M sensing areas, wherein the N touch areas are arranged in a time sequence of obtaining the N first touch signals .
  • the matching method described above for the obtained N fingerprint images to be identified and the corresponding N touch areas, if the preset fingerprint image group matches any of the fingerprint images of the N fingerprint images, A preset fingerprint image; and the i-th touch area in the N touch areas and the i-th preset area in the N preset areas are the same sensing area among the M sensing areas, it is determined to be recognized
  • the N fingerprint image recognition verifications are successful; otherwise, it is determined that the recognition verification has failed.
  • the fingerprint entry process that is, when recording a preset fingerprint image group and a preset area group, it includes: obtaining N second touch signals through M sensing areas; obtaining the N At least one fingerprint image corresponding to the second touch signal, the preset fingerprint image group includes the at least one fingerprint image, wherein the N preset fingerprint images may or may not be recorded according to a time when the N second touch signals are acquired Sequence; in addition, it is determined that the touch area corresponding to the N second touch signals is the N preset areas, and the preset area group includes the N preset areas according to the obtained N second touch signals.
  • the order of the N preset regions is recorded in time sequence, and there may be multiple preset regions in the N preset regions corresponding to the same sensing region.
  • the fingerprint recognition device shown in FIG. 2 still includes 9 sensing areas as an example.
  • Sensing areas 4, 4, and 5, that is, three second touch signals are input, and in accordance with the order in which the three second touch signals are detected, it can be determined that the sensing areas 4, 4, and 5 form a preset area group, and the fingerprint recognition
  • the preset area group recorded by the device includes 3 preset areas, which are preset areas 4, 4, and 5, respectively. At this time, the preset area group may include repeated preset areas, and the three preset areas need to be recorded.
  • the acquisition order is to record the preset areas 4, 4 and 5 in order.
  • the fingerprint recognition device obtains three fingerprint images, but two fingerprint images in the three fingerprint images may be the same or substantially the same.
  • the fingerprint recognition device may Keep one of the two identical fingerprint images, that is, the set of preset fingerprint image groups includes only two different preset fingerprint images of the right index finger and middle finger, or the fingerprint recognition device will obtain 3 fingerprint images as
  • the preset fingerprint image includes the three preset fingerprint images in the preset fingerprint image group, and the fingerprint recognition device may choose to record or not record the acquisition order of the three preset fingerprint images. Therefore, during the fingerprint entry process, the fingerprint recognition device needs to record a preset fingerprint image group and a preset area group arranged in order.
  • the first touch area and the first fingerprint image can be obtained correspondingly.
  • the first touch area is The preset area 4 that is the first in the preset area group, that is, the first touch area and the first preset area correspond to the same sensing area. If the first touch area is area 4 in FIG. 2 , It is determined that the first touch area matches the preset area group, otherwise it is determined not to match; and for the first fingerprint image, the first fingerprint image and the preset fingerprint image included in the preset fingerprint image group The matching is performed, that is, it is determined whether the first fingerprint image is the fingerprint image of the right index finger or the right middle finger. If so, it is determined that the first fingerprint image matches the preset fingerprint image group, otherwise it is determined not to match.
  • the second touch area corresponding to the second first touch signal and the second fingerprint image are continuously verified. During verification, the first touch is verified with the first touch. The area and the first fingerprint image process are the same. If the second touch area and the second preset area correspond to the same sensing area, that is, corresponding to sensing area 4, then it is determined that the second touch area matches the preset area group.
  • the second fingerprint image is matched with the preset fingerprint image included in the preset fingerprint image group, that is, it is determined whether the second fingerprint image is the right index finger Or the fingerprint image of the middle finger, if it is, then it is determined that the second fingerprint image matches the preset fingerprint image group, otherwise it is determined not to match.
  • the obtained N fingerprint images and the corresponding N touch areas are verified one by one. For example, 3 fingerprint images and 3 touch areas need to be verified here. If all fingerprint images and touch areas match, the verified N is determined.
  • the fingerprint images were successfully identified. For example, as long as the user touches the sensing area 4 first, then touches the sensing area 4, and finally touches the sensing area 5, and the fingers used are the right index finger and / or the middle finger, that is, when the right index finger and the middle finger are used in any order, they can The verification is passed, but if the touched sensing areas are in the wrong order, or if fingers other than the right index finger and middle finger are used, the verification fails.
  • the safety performance when the second embodiment is used in the above four embodiments, the safety performance is high.
  • the fingerprint entry process and verification process of the second embodiment will be described in detail below with reference to FIGS. 3 and 4.
  • FIG. 3 shows a schematic flowchart of a fingerprint entry process 300 according to an embodiment of the present application. As shown in FIG. 3, assuming that the fingerprint entry process is used to encrypt a target application in a mobile phone, the fingerprint entry process may include the following steps.
  • fingerprint entry starts.
  • the encryption process of the target application may be started through an application in the mobile phone.
  • the user can first set the number of passwords S that the target application wants to set, that is, the number of fingerprint images to be input, and the number of sensing areas to be touched, so that after reaching this number , The phone can confirm that the user has completed this setup.
  • the number may not be set first.
  • the setting is ended by collecting relevant prompt options displayed on the display screen.
  • the number of fingerprints already entered at this time is the The number of passwords for the target application.
  • S330 Select a sensing area according to personal will.
  • the user sets a password as he wishes, and touches the sensing area in turn. For example, as shown in FIG. 2, the user wants to set a password of 1234, and then the user sequentially touches the sensing areas 1, 2, 3, and 4 displayed on the display screen as four preset areas, that is, the password.
  • S340 Record the fingerprint image.
  • the same or different fingers are used to touch.
  • the mobile phone records the sequence and position of the preset areas, it also collects the fingerprint of the finger that touched each corresponding preset area.
  • the mobile phone records four fingerprint images arranged in order, which are the index finger of the right hand, Fingerprint images of middle finger, ring finger and middle finger.
  • the fingerprint image obtained by the user's first touch is used as the first preset fingerprint image.
  • S350 whether the entry is successful. Determine the current entry, whether the encoding or position of the preset area has been successfully recorded, and the corresponding fingerprint image. If the current entry is successful, continue to execute S360. If the entry fails, for example, the recording of the preset area fails, return to S330 to re-record the preset area; or, if the preset fingerprint image fails to record, such as the preset fingerprint image If it is not clear, then return to execute S340, in which FIG. 3 uses return to execute S340 as an example.
  • N ⁇ S Determine the relationship between N and the preset number S. If N ⁇ S, it means that the current entry is not completed. Continue to S330 and continue to enter the next preset fingerprint image and the corresponding preset area; otherwise, continue to S380.
  • S380 Record the preset area sequence.
  • the user selects the sensing areas 1, 2, 3, and 4 and touches them in this order, and the recording preset areas are 1, 2, 3, and 4 in this order.
  • S390 The fingerprint entry ends. Complete the encryption process applied to the target.
  • FIG. 4 shows a schematic flowchart of a fingerprint verification process 300 according to an embodiment of the present application, which includes the following steps.
  • the mobile phone may be configured to display to the user that fingerprint verification is required when the target application is selected, for example, to display the page of the nine sensing areas shown in FIG. 2 to the user.
  • N 0. This counter is used to record the number of fingerprints that are currently authenticated. Before entering fingerprints, the counter is 0.
  • the user starts to enter the password, that is, touch the sensing area with a finger, the corresponding sensing area detects a touch signal, and acquires a fingerprint image according to the touch signal.
  • the first touch input is determined. Whether the signal is detected on the sensing area 1. If yes, it is determined that the triggering sequence of the touch area is consistent with the preset area entry sequence, and the process continues to S405; otherwise, S408 is performed.
  • the first index fingerprint image is the right index finger. Therefore, in S405, it is determined whether the first fingerprint image input is the same as the first fingerprint image. It is assumed that the fingerprint images match, and if they match, it is determined that the first fingerprint image matches the preset fingerprint image group, and the process proceeds to S406; otherwise, the process proceeds to S408.
  • N N + 1.
  • N ⁇ S Determine the relationship between N and the preset number S. If N ⁇ S, it means that the current input is not completed, and then continue to S403, and continue to input the next fingerprint to be verified; otherwise, continue to S409.
  • S409 The fingerprint authentication is successful. When the fingerprint image matches the preset fingerprint image and the touch area matches the preset area, it is determined that the fingerprint verification is successful. The user decrypts the target application and can enter the target application for access.
  • a plurality of sensing areas are set in a fingerprint recognition device by splicing multiple touch sensors, so that a user can selectively trigger all or part of the sensing areas to verify the fingerprint image of the user At the same time, it can also verify the position and sequence of the triggering sensing area, and combine fingerprint verification with password verification, thereby increasing the security performance of fingerprint recognition. For example, in general, when fingerprints are entered, the greater the number of entered fingers, the higher the security of the authentication; the more sensors triggered, the higher the security of the authentication.
  • the size of the sequence numbers of the above processes does not mean the order of execution.
  • the execution order of each process should be determined by its function and internal logic, and should not deal with the embodiments of the present application.
  • the implementation process constitutes any limitation.
  • the fingerprint identification method according to the embodiment of the present application is described in detail above with reference to FIGS. 1 to 4.
  • the fingerprint identification device according to the embodiment of the present application will be described below with reference to FIG. 5.
  • the fingerprint identification device 500 includes: M sensing areas 510, an obtaining unit 520, and an identifying unit 530, where M is a positive integer greater than 1.
  • the M sensing areas 510 are used to obtain N first touch signals, and the N first touch signals correspond to the N touch areas one by one, and any one of the N touch areas is the M sensing areas.
  • One of the areas 510, N is a positive integer;
  • the obtaining unit 520 is used to obtain N fingerprint images corresponding to the N first touch signals one-to-one;
  • the identification unit 530 is used: if the N touch areas and The preset area groups match, and the N fingerprint images match the preset fingerprint image group. It is determined that the N fingerprint images are successfully identified. Any one of the preset area groups is the M sensing areas 510. one of the.
  • the touch area and the preset area in the embodiments of the present application are both sensing areas.
  • the touch area refers to a sensing area where a touch signal is detected during fingerprint verification;
  • the preset area refers to a process of recording a preset fingerprint image , The sensing area of the touch signal is detected.
  • the N touch areas match the preset area group, including: the preset area group includes N preset areas, the i-th touch area in the N touch areas and the N preset areas
  • the M sensing areas 510 are further configured to: obtain N second touch signals; the acquisition unit 520 is further configured to: obtain a fingerprint image corresponding to the N second touch signals one-to-one
  • the N preset fingerprint images, the N preset fingerprint images are arranged in a chronological order in which the N second touch signals are acquired, and the sensing areas corresponding to the one-to-one corresponding to the N second touch signals are the N preset areas ,
  • the N preset regions are arranged in a time sequence of acquiring the N second touch signals.
  • the M sensing areas 510 are further configured to: acquire N second touch signals; the acquisition unit 520 is further configured to: acquire at least one fingerprint image corresponding to the N second touch signals;
  • the preset fingerprint image group includes the at least one fingerprint image, and the sensing areas corresponding to the N second touch signals are obtained in a one-to-one manner, and the N preset areas are obtained in accordance with the N second touch signals. Time sequence.
  • the M sensing areas 510 are further configured to: obtain N second touch signals; the acquisition unit 520 is further configured to: obtain a fingerprint image corresponding to the N second touch signals in a one-to-one manner: The N preset fingerprint images, the N preset fingerprint images are arranged in a chronological order of obtaining the N second touch signals, and at least one sensing area where the N second touch signals are detected is determined as the preset area A preset area in the group, the preset area group including at least one preset area.
  • matching the N fingerprint images with the preset fingerprint image group includes: there is a preset in the preset fingerprint image group that matches any fingerprint image in the N fingerprint images. Fingerprint image; the N touch areas are matched with the preset area group, including: the sensing area corresponding to any one of the N touch areas belongs to at least one sensing area corresponding to the preset area group, the preset area Any two preset regions in the group are different sensing regions among the M sensing regions.
  • the M sensing areas are further configured to: acquire N second touch signals; the acquisition unit 520 is further configured to: acquire at least one fingerprint image corresponding to the N second touch signals; It is assumed that the fingerprint image group includes the at least one fingerprint image; at least one sensing area where the N second touch signals are detected is determined as a preset area in the preset area group, and the preset area group includes at least one preset area .
  • the fingerprint recognition device further includes M touch sensors corresponding to the M sensing areas 410 on a one-to-one basis, and the touch sensors are configured to sense a touch operation and generate a touch signal.
  • the fingerprint identification device 500 may correspond to performing the methods 1000, 300, and 400 in the embodiment of the application, and the above and other operations and / or functions of each part or unit in the fingerprint identification device 500 In order to implement the corresponding processes of the methods in FIG. 1 to FIG. 4 respectively, for the sake of brevity, the details will not be repeated here.
  • the fingerprint recognition device in the embodiment of the present application uses a plurality of touch sensors to splice to realize setting multiple sensing areas in the fingerprint recognition device, so that the user can selectively trigger all or part of the sensing areas to verify the user's fingerprint.
  • the position and sequence of the triggering sensing area can be verified, which increases the security performance of fingerprint recognition. For example, when entering fingerprints, the greater the number of entered fingers, the higher the security of authentication; the more sensors triggered, the higher the security of authentication.
  • the obtaining unit 520 and the identification unit 530 in the fingerprint identification device 500 in the embodiment of the present application may be a processor, and the fingerprint identification device 500 may further include a memory.
  • the processor may call and run a computer program from the memory to implement the method in the embodiment of the present application.
  • the memory may be a separate device independent of the processor, or may be integrated in the processor.
  • the processor in the embodiment of the present application may be an integrated circuit chip and has a signal processing capability.
  • each step of the foregoing method embodiment may be completed by using an integrated logic circuit of hardware in a processor or an instruction in a form of software.
  • the above processor may be a general-purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), an off-the-shelf programmable gate array (Field, Programmable Gate Array, FPGA), or other Programming logic devices, discrete gate or transistor logic devices, discrete hardware components.
  • DSP digital signal processor
  • ASIC application specific integrated circuit
  • FPGA off-the-shelf programmable gate array
  • Various methods, steps, and logical block diagrams disclosed in the embodiments of the present application can be implemented or executed.
  • a general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
  • the steps of the method disclosed in combination with the embodiments of the present application may be directly implemented by a hardware decoding processor, or may be performed by using a combination of hardware and software modules in the decoding processor.
  • the software module may be located in a mature storage medium such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, and the like.
  • the storage medium is located in a memory, and the processor reads the information in the memory and completes the steps of the foregoing method in combination with its hardware.
  • the memory in the embodiment of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memory.
  • the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), and an electronic memory. Erase programmable read-only memory (EPROM, EEPROM) or flash memory.
  • the volatile memory may be Random Access Memory (RAM), which is used as an external cache.
  • RAM Static Random Access Memory
  • DRAM Dynamic Random Access Memory
  • Synchronous Dynamic Random Access Memory Synchronous Dynamic Random Access Memory
  • SDRAM double data rate synchronous dynamic random access memory
  • Double SDRAM, DDR SDRAM enhanced synchronous dynamic random access memory
  • Enhanced SDRAM, ESDRAM synchronous connection dynamic random access memory
  • Synchronous DRAM Synchronous Dynamic Random Access Memory
  • Enhanced SDRAM Enhanced SDRAM, ESDRAM
  • synchronous connection dynamic random access memory Synchrobus RAM, SLDRAM
  • Direct Rambus RAM Direct Rambus RAM
  • the memory in the embodiments of the present application may also be static random access memory (SRAM), dynamic random access memory (DRAM), Synchronous dynamic random access memory (SDRAM), double data rate Synchronous dynamic random access memory (Double SDRAM, DDR SDRAM), enhanced synchronous dynamic random access memory (Enhanced SDRAM, ESDRAM), synchronous connection Dynamic random access memory (synch link DRAM, SLDRAM) and direct memory bus random access memory (Direct RAMbus RAM, DR RAM) and so on.
  • SRAM static random access memory
  • DRAM dynamic random access memory
  • SDRAM Synchronous dynamic random access memory
  • Double SDRAM double data rate Synchronous dynamic random access memory
  • Double SDRAM double data rate Synchronous dynamic random access memory
  • Enhanced SDRAM synchronous dynamic random access memory
  • ESDRAM enhanced synchronous dynamic random access memory
  • synchronous connection Dynamic random access memory strip link DRAM, SLDRAM
  • Direct RAMbus RAM Direct RAMbus RAM, DR RAM
  • the disclosed systems, devices, and methods may be implemented in other ways.
  • the device embodiments described above are only schematic.
  • the division of the unit is only a logical function division.
  • multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not implemented.
  • the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, which may be electrical, mechanical or other forms.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objective of the solution of this embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each of the units may exist separately physically, or two or more units may be integrated into one unit.
  • the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium.
  • the technical solution of this application is essentially a part that contributes to the existing technology or a part of the technical solution can be embodied in the form of a software product.
  • the computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in the embodiments of the present application.
  • the aforementioned storage media include: U disks, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks or compact discs and other media that can store program codes .

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Abstract

一种指纹识别的方法和装置。该指纹识别装置包括多个感应区域，该方法包括：通过该多个感应区域，获取N个第一触摸信号，该N个第一触摸信号一一对应N个触摸区域，该N个触摸区域中任意一个触摸区域为该多个感应区域中的一个（S1010）；获取与该N个第一触摸信号一一对应的N个指纹图像（S1020）；若该N个触摸区域与预设区域组相匹配，且该N个指纹图像与预设指纹图像组相匹配，确定该N个指纹图像识别成功（S1030），该预设区域组中的任意一个预设区域为该多个感应区域中的一个。上述指纹识别的方法和装置，能够提高指纹识别安全性能。

Description

指纹识别的方法和装置 技术领域
本申请涉及生物识别领域，尤其涉及指纹识别的方法和装置。
背景技术
近年，随着智能手机等移动终端的解锁与支付等认证的普及应用，用户对移动终端的认证的安全性要求越来越高。目前移动终端的认证方式主要包含密码、生物识别两大类。其中密码类主要包含键盘密码与图案密码两种。生物识别类目前广泛应用的是指纹识别方案。这两大类在安全认证方面各有缺点：密码类容易被泄露，生物识别类可以被伪造。
发明内容
本申请提供了一种指纹识别的方法和装置，能够提高指纹识别安全性能。
第一方面，提供了一种指纹识别的方法，所述方法应用于指纹识别装置，所述指纹识别装置包括M个感应区域，M为大于1的正整数，所述方法包括：通过所述M个感应区域，获取N个第一触摸信号，所述N个第一触摸信号一一对应N个触摸区域，所述N个触摸区域中任意一个触摸区域为所述M个感应区域中的一个，N为正整数；获取与所述N个第一触摸信号一一对应的N个指纹图像；若所述N个触摸区域与预设区域组相匹配，且所述N个指纹图像与预设指纹图像组相匹配，确定所述N个指纹图像识别成功，所述预设区域组中的任意一个预设区域为所述M个感应区域中的一个。
结合第一方面，在第一方面的一种实现方式中，所述N个指纹图像与所述预设指纹图像组相匹配，包括：所述预设指纹图像组包括N个预设指纹图像，所述N个指纹图像中第i个指纹图像与所述N个预设指纹图像中的第i个预设指纹图像相匹配，其中，所述N个指纹图像按照获取所述N个第一触摸信号的时间顺序排列，i＝1,2,……,N；所述N个触摸区域与所述预设区域组相匹配，包括：所述预设区域组包括N个预设区域，所述N个触摸区域中的第i个触摸区域与所述N个预设区域中的第i个预设区域为所述M个感应区域中的同一个感应区域，其中，所述N个触摸区域按照获取所述N 个第一触摸信号的时间顺序排列，i＝1,2,……,N。
结合第一方面及其上述实现方式，在第一方面的另一种实现方式中，所述方法还包括：通过所述M个感应区域，获取N个第二触摸信号；获取与所述N第二触摸信号一一对应的指纹图像为所述N个预设指纹图像，所述N个预设指纹图像按照获取所述N个第二触摸信号的时间顺序排列；获取与所述N第二触摸信号一一对应的感应区域为所述N个预设区域，所述N个预设区域按照获取所述N个第二触摸信号的时间顺序排列。
结合第一方面及其上述实现方式，在第一方面的另一种实现方式中，所述N个指纹图像与所述预设指纹图像组相匹配，包括：所述预设指纹图像组中存在与所述N个指纹图像中任意一个指纹图像相匹配的预设指纹图像；所述N个触摸区域与所述预设区域组相匹配，包括：所述预设区域组包括N个预设区域，所述N个触摸区域中的第i个触摸区域与所述N个预设区域中的第i个预设区域为所述M个感应区域中的同一个感应区域，其中，所述N个触摸区域按照获取所述N个第一触摸信号的时间顺序排列，i＝1,2,……,N。
结合第一方面及其上述实现方式，在第一方面的另一种实现方式中，所述方法还包括：通过所述M个感应区域，获取N个第二触摸信号；获取所述N第二触摸信号对应的至少一个指纹图像，所述预设指纹图像组包括所述至少一个指纹图像；获取与所述N第二触摸信号一一对应的感应区域为所述N个预设区域，所述N个预设区域按照获取所述N个第二触摸信号的时间顺序排列。
结合第一方面及其上述实现方式，在第一方面的另一种实现方式中，所述N个指纹图像与所述预设指纹图像组相匹配，包括：所述预设指纹图像组包括N个预设指纹图像，所述N个指纹图像中第i个指纹图像与所述N个预设指纹图像中的第i个预设指纹图像相匹配，其中，所述N个指纹图像按照获取所述N个第一触摸信号的时间顺序排列，i＝1,2,……,N；所述N个触摸区域与所述预设区域组相匹配，包括：所述N个触摸区域中任意一个触摸区域对应的感应区域属于所述预设区域组对应的至少一个感应区域，所述预设区域组中任意两个预设区域为所述M个感应区域中的不同感应区域。
结合第一方面及其上述实现方式，在第一方面的另一种实现方式中，所述方法还包括：通过所述M个感应区域，获取N个第二触摸信号；获取与所述N第二触摸信号一一对应的指纹图像为所述N个预设指纹图像，所述N 个预设指纹图像按照获取所述N个第二触摸信号的时间顺序排列；将检测到所述N个第二触摸信号的至少一个感应区域确定为所述预设区域组中的预设区域，所述预设区域组包括至少一个预设区域。
结合第一方面及其上述实现方式，在第一方面的另一种实现方式中，所述N个指纹图像与所述预设指纹图像组相匹配，包括：所述预设指纹图像组中存在与所述N个指纹图像中任意一个指纹图像相匹配的预设指纹图像；所述N个触摸区域与所述预设区域组相匹配，包括：所述N个触摸区域中任意一个触摸区域对应的感应区域属于所述预设区域组对应的至少一个感应区域，所述预设区域组中任意两个预设区域为所述M个感应区域中的不同感应区域。
结合第一方面及其上述实现方式，在第一方面的另一种实现方式中，所述方法还包括：通过所述M个感应区域，获取N个第二触摸信号；获取所述N第二触摸信号对应的至少一个指纹图像，所述预设指纹图像组包括所述至少一个指纹图像；将检测到所述N个第二触摸信号的至少一个感应区域确定为所述预设区域组中的预设区域，所述预设区域组包括至少一个预设区域。
结合第一方面及其上述实现方式，在第一方面的另一种实现方式中，所述M个感应区域中每个感应区域包括一个触摸传感器，所述触摸传感器用于感应触摸操作并产生触摸信号。
因此，本申请实施例的指纹识别的方法，通过将多个触摸传感器拼接的方式，在指纹识别装置中设置多个感应区域，使得用户可以选择性触发全部或部分感应区域，在验证用户指纹图像的同时，也可以验证触发感应区域的位置和顺序，增加指纹识别的安全性能。例如，在录入指纹时，设置的录入手指数目越多，认证的安全性就会越高；触发的传感器越多，认证的安全性就会越高。
第二方面，提供了一种指纹识别装置，用于执行上述第一方面或第一方面的任意可能的实现方式中的方法。具体地，该指纹识别装置包括用于执行上述第一方面或第一方面的任意可能的实现方式中的方法的单元。
第三方面，提供了一种终端设备，用于执行上述第一方面或第一方面的任意可能的实现方式中的方法。具体地，该终端设备包括显示屏和第二方面中的指纹识别装置，其中，指纹识别装置包括用于执行上述第一方面或第一 方面的任意可能的实现方式中的方法的单元。
第四方面，提供了一种终端设备，包括：存储单元和处理器，该存储单元用于存储指令，该处理器用于执行该存储器存储的指令，并且当该处理器执行该存储器存储的指令时，该执行使得该处理器执行第一方面或第一方面的任意可能的实现方式中的方法。
第五方面，提供了一种计算机可读介质，用于存储计算机程序，该计算机程序包括用于执行第一方面或第一方面的任意可能的实现方式中的方法的指令。
第六方面，提供了一种包括指令的计算机程序产品，当计算机运行所述计算机程序产品的所述指时，所述计算机执行上述第一方面或第一方面的任意可能的实现方式中的指纹识别的方法。具体地，该计算机程序产品可以运行于上述第三方面的终端设备上。
附图说明
图1是根据本申请实施例的指纹识别的方法的示意性流程图。
图2是根据本申请实施例的手机的显示屏显示感应区域位置的示意图。
图3是根据本申请实施例的指纹录入过程的示意性流程图。
图4是根据本申请实施例的指纹验证过程的示意性流程图。
图5是根据本申请实施例的指纹识别装置的示意性框图。
图6是本申请可以适用的电子设备的平面示意图。
图7是图6所示的电子设备沿A-A’的部分剖面示意图。
具体实施方式
下面将结合附图，对本申请实施例中的技术方案进行描述。
随着电子设备步入全面屏时代，电子设备正面指纹采集区域受到全面屏的挤压，因此屏下(Under-display或者Under-screen)指纹识别技术越来越受到关注。屏下指纹识别技术是指将指纹识别模组(比如指纹识别模组)安装在显示屏下方，从而实现在显示屏的显示区域内进行指纹识别操作，不需要在电子设备正面除显示区域外的区域设置指纹采集区域。
光学屏下指纹识别技术使用从设备显示组件的顶面返回的光来进行指 纹感应和其他感应操作。该返回的光携带与该顶面接触的物体(例如手指)的信息，通过采集和检测该返回的光，实现位于显示屏下方的特定光学传感器模块。光学传感器模块的设计可以为通过恰当地配置用于采集和检测返回的光的光学元件来实现期望的光学成像。
应理解，本申请实施例的技术方案可以应用于各种电子设备，例如智能手机、笔记本电脑、平板电脑、游戏设备等便携式或移动计算设备，以及电子数据库、汽车、银行自动柜员机(Automated Teller Machine，ATM)等其他电子设备，但本申请实施例对此并不限定。
图6和图7示出了指纹识别装置可以适用的电子设备100的示意图，其中图6为电子设备100的正面示意图，图7为图6所示的电子设备100沿A-A’的部分剖面结构示意图。
如图6和图7所示，所述电子设备100可以为智能手机或者其他移动终端，其包括显示屏120和指纹识别模组140，其中，所述显示屏120具有显示区域102，所述指纹识别模组140设置在所述显示屏120的下方。
所述显示屏120可以为自发光显示屏，其采用具有自发光的显示单元作为显示像素。比如显示屏120可以为有机发光二极管(Organic Light-Emitting Diode，OLED)显示屏或者微型发光二极管(Micro-LED)显示屏。在其他替代实施例中，所述显示屏120也可以为液晶显示屏(Liquid Crystal Display，LCD)或者其他被动发光显示屏，本申请实施例对此不做限制。
另一方面，所述显示屏120例如可以为触控显示屏，其不仅可以进行画面显示，还可以检测用户的触摸或者按压操作，从而为用户提供一个人机交互界面。比如，在一种实施例中，所述电子设备100可以包括触摸传感器，所述触摸传感器可以具体为触控面板(Touch Panel，TP)，其可以设置在所述显示屏120表面，也可以部分集成或者整体集成到所述显示屏120内部，从而形成所述触控显示屏。
所述指纹识别模组140可以具体为光学指纹识别模组，其主要用于采集用户的指纹信息(比如指纹图像信息)。在本申请实施例中，所述指纹识别模组140可以至少设置在所述显示屏120下方的局部区域，从而使得所述指纹识别模组140的指纹采集区域(或感应区域)130至少部分位于所述显示屏120的显示区域102，这里，指纹采集区域130的面积可以与指纹识别模组140的面积不同，例如通过例如透镜成像的光路设计、反射式折叠光路设 计或者其他光线汇聚或者反射等光路设计，可以使得所述指纹识别模组140的指纹采集区域130的面积大于指纹识别模组140的面积。在其他替代实现方式中，如果采用例如光线准直方式进行光路引导，所述指纹识别模组140的指纹采集区域130也可以设计成与所述指纹识别模组140的面积相一致。
作为一种实施例，所述指纹识别模组140可以具体包括多个具有光学感应阵列的光学指纹传感器142(后面也称为传感器芯片)；所述多个光学指纹传感器142可以并排设置在所述显示屏120的下方。其中，每一个光学感应阵列142分别包括多个光学感应单元，且所述光学感应阵列的所在区域对应于其所在的光学指纹传感器的感应区域103，所述多个光学指纹传感器的感应区域共同构成所述指纹识别模组140的指纹采集区域130。也即是说，所述指纹识别模组140的指纹采集区域130可以包括多个子区域，每个子区域分别对应于其中一个光学指纹传感器或光学感应阵列的感应区域。如图6所示，所述指纹采集区域130位于所述显示屏120的显示区域102之中，由于采用多个光学指纹传感器并排设置的方式，所述指纹识别模组140的指纹采集区域130可以扩展到所述显示区域102的下半部分的主要区域，即扩展到手指惯常按压区域，从而实现盲按式指纹输入操作。
在其他替代实施例中，当所述光学指纹传感器数量足够时，所述指纹采集区域130还可以扩展到半个显示区域甚至整个显示区域，从而实现半屏或者全屏指纹检测。因此，用户在需要对所述电子设备100进行解锁或者其他指纹验证的时候，只需要将手指按压在位于所述显示屏120的指纹采集区域130，便可以实现指纹输入操作。由于指纹采集和检测可以在所述显示屏120的显示区域102内部实现，采用上述结构的电子设备100无需其正面专门预留空间来设置指纹按键(比如Home键)，因而可以采用全面屏方案。因此，所述显示屏120的显示区域102可以基本扩展到所述电子设备100的整个正面。
在具体实施例中，所述指纹识别模组140的多个光学指纹传感器142可以分别是独立封装的传感器芯片，也可以是制作为多个芯片(Die)之后封装在同一个芯片封装体之内，还可以是通过半导体工艺制作在同一个芯片(Die)的不同区域。另一方面，所述光学指纹传感器142除了包括如上所述的光学感应阵列以外，还可以与所述光学感应阵列电性连接的读取电路和/或其他辅助电路。作为一种可选的实现方式，如图7所示，所述光学指纹传感器142 上方还可以设置有光路调制器144。以所述光路调制器144为例，其可以作为独立的光学部件贴合在所述光学指纹传感器142的感应阵列上方，也可以通过半导体工艺集成在所述光学指纹传感器142的芯片内部，从而实现超薄的指纹识别模组140。具体地，所述光路调制器144可以是采用具有高深宽比的通孔阵列的光准直器，主要用于对向下传播的指纹检测光进行准直、调制和成像等，实现将从手指表面反射回来的反射光导引至所述感应阵列进行光学检测以获取指纹图像信息。
可选地，与所述指纹识别模组140的多个光学指纹传感器142相对应，所述光路调制器144可以有多个，每一个光路调制器144分别对应一个光学指纹传感器，并分别贴合设置在其对应的光学指纹传感器142的上方。或者，所述多个光学指纹传感器142也可以共享一个整体的光路调制器144，即所述光路调制器144具有一个足够大的面积以覆盖所述多个光学指纹传感器142的感应阵列。
另外，在所述光路调制器144和所述光学指纹传感器142之间或者所述显示屏120与所述光路调制器144之间，还可以设置有其他光学元件，比如滤光片(Filter)或者其他光学膜片，其主要用于隔离外界干扰光对光学指纹检测的影响。其中，所述滤光片可以用于滤除穿透手指并进过所述显示屏120进入所述图像识别传感器130的环境光，与所述光路调制器144相类似，所述滤光片可以在每个光学指纹传感器142分别设置进行干扰光滤除，或者也可以采用一个大面积滤光片同时覆盖所述多个光学指纹传感器142。
可替代地，所述光路调制器144也可以采用光学镜头(Lens)来代替，所述光学镜头上方可以通过遮光材料形成小孔配合所述光学镜头将指纹检测光汇聚到下方的光学指纹传感器142以实现指纹成像。相类似地，每一个光学指纹传感器142可以分别配置一个光学镜头进行指纹成像，或者，所述多个光学指纹传感器142也可以利用同一个光学镜头来实现光线汇聚和指纹成像。在其他替代实施例中，每一个光学指纹传感器142甚至还可以具有两个感应阵列(Dual Array)或者多个感应阵列(Multi-Array)，且同时配置两个或多个光学镜头配合所述两个或多个感应阵列进行光学成像，从而减小成像距离并增强成像效果。
本申请实施例以所述显示屏120采用OLED显示屏为例，所述显示屏120的发光层具有呈阵列式排布的OLED显示单元阵列，所述指纹识别模组 140可以利用所述OLED显示屏120位于所述指纹采集区域130的OLED显示单元(即OLED光源)作为指纹检测识别的激励光源。当然，应当理解，在其他替代实现方案中，该指纹识别模组140也可以采用内置光源或者外置光源来提供用于进行指纹检测识别的光信号。在这种情况下，屏下指纹识别装置不仅可以适用于如OLED显示屏等自发光显示屏，还可以适用于非自发光显示屏，比如液晶显示屏或者其他的被动发光显示屏。
以应用在具有背光模组和液晶面板的液晶显示屏为例，为支持液晶显示屏的屏下指纹检测，对还可以包括用于光学指纹检测的激励光源，所述激励光源可以具体为红外光源或者特定波长非可见光的光源。以红外光源为例，其可以设置在所述液晶显示屏的背光模组下方或者设置在所述电子设备100的保护盖板下方的边缘区域，而所述指纹识别模组140设置在所述背光模组下方，且所述背光模组通过对扩散片、增亮片、反射片等膜层进行开孔或者其他光学设计以允许指纹检测光穿过液晶面板和背光模组并到达所述指纹识别模组140的光学指纹传感器。
并且，所述指纹识别模组140的光学感应阵列具体为光探测器(Photo detector)阵列(或称为光电探测器阵列)，其包括多个呈阵列式分布的光探测器，所述光探测器可以作为如上所述的光学感应单元，所述光探测器上方还可以形成有微透镜来提高指纹图像的成像效果。
当手指触摸、按压或者接近(为便于描述，在本申请中统称为按压)在所述指纹采集区域130时，所述指纹采集区域130的显示单元或者额外配置的指纹检测激励光源发出的光线在手指发生反射并形成反射光，其中所述反射光可以携带有用户手指的指纹信息。比如，所述光线被用户手指表面的指纹发生反射之后，由于手指指纹的纹脊和纹谷的反射光是不同的，因此反射光便携带有用户的指纹信息。所述反射光返回所述显示屏120并被其下方的指纹识别模组140的光探测器阵列所接收并且转换为相应的电信号，即指纹检测信号。所述电子设备100基于所述指纹检测信号便可以获得用户的指纹信息，并且可以进一步进行指纹匹配验证，从而完成当前用户的身份验证以便于确认其是否有权限对所述电子设备100进行相应的操作。
应当理解的是，在具体实现上，所述电子设备100还包括保护盖板110，所述盖板110可以具体为透明盖板，比如玻璃盖板或者蓝宝石盖板，其位于所述显示屏120的上方并覆盖所述电子设备100的正面，且所述保护盖板110 表面还可以设置有保护层。因此，本申请实施例中，所谓的手指按压所述显示屏120实际上可以是指手指按压在所述显示屏120上方的盖板110或者覆盖所述盖板110的保护层表面。
另一方面，所述指纹识别模组140的下方还可以设置有电路板150，比如软性电路板(Flexible Printed Circuit，FPC)，所述指纹识别模组140可以通过焊盘焊接到所述电路板150，并通过所述电路板150实现与其他外围电路或者所述电子设备100的其他元件的电性互连和信号传输。比如，所述指纹识别模组140可以通过所述电路板150接受所述电子设备100的处理单元的控制信号，并且还可以通过所述电路板150将所述指纹检测信号输出给所述电子设备100的处理单元或者控制单元等。
图1示出了根据本申请实施例的指纹识别的方法的示意性流程图，该方法1000可以由指纹识别装置执行，该指纹识别装置可以包括M个感应区域，M为大于1的正整数，该方法1000包括：S1010，通过该M个感应区域，获取N个第一触摸信号，该N个第一触摸信号一一对应N个触摸区域，该N个触摸区域中任意一个触摸区域为该M个感应区域中的一个，N为正整数；S1020，获取与该N个第一触摸信号一一对应的N个指纹图像；S1030，若该N个触摸区域与个预设区域组相匹配，且该N个指纹图像与预设指纹图像组相匹配，确定该N个指纹图像识别成功，该预设区域组中的任意一个预设区域为该M个感应区域中的一个。
应理解，该方法1000可以通过指纹识别装置执行，该指纹识别装置可以位于各种电子设备中以用于执行指纹识别，该电子设备可以为手机、平板电脑或者其它可穿戴设备等。该指纹识别装置包括M个感应区域，该M个感应区域可以用于获取指纹图像。
具体地，该指纹识别装置可以位于电子设备中，该电子设备可以包括显示屏，该显示屏可以用于向用户显示图像，因此，可以通过该显示屏，向用户显示该指纹识别装置包括的M个感应区域的位置。该指纹识别装置可以为屏下指纹传感器，位于显示屏下方，该指纹识别装置可以为光学指纹识别模组，或者其它指纹识别装置，本申请实施例并不限于此。
另外，该指纹识别装置还可以包括触摸传感器，该M个感应区域中的每个感应区域可以对应一个触摸传感器，或者M个感应区域中多个感应区域对应一个触摸传感器。每个触摸传感器均可以用于感应用户的触摸操作， 当用户通过显示屏触摸任意感应区域时，该感应区域的触摸传感器感应到该触摸操作，对应产生触摸信号，以便于该指纹识别装置根据该触摸信号生成执行触摸操作的用户的指纹图像，同时也可以记录该指纹图像对应的触摸操作是在哪个感应区域内检测到的。
例如，以该电子设备为手机为例，该手机中的指纹识别装置包括M个感应区域，假设将M设置为9，图2示出了根据本申请实施例的手机的显示屏显示感应区域位置的示意图。如图2所示，这里假设该手机中指纹识别装置包括M个感应区域220，即虚线方框内的9个感应区域，分别是图2中数字标识的1-9的9个方框，每个实线方框表示的感应区域均包括一个触摸传感器，当用户的手指触摸任意一个区域时，例如触摸图2中感应区域5，该感应区域5的触摸传感器感应到用户的触摸操作而产生触摸信号，以便于指纹识别装置根据该触摸信号生成该用户的指纹图像，同时记录该指纹图像对应于感应区域5。
可选地，该指纹识别装置包括的M个感应区域还可以不为图2所示的矩形区域，还可以为其它形状的区域，例如圆形或者三角形，并且M个感应区域的形状可以相同也可以不同。另外，该M个感应区域可以不通过如图2所示的数字标号进行区分，即在通过显示屏210向用户显示时，可以显示如图2所示的数字标号，通过数字标号区分各个感应区域；或者，也可以不显示数字标号，例如仅显示每个感应区域的形状的边框，假设每个感应区域的形状不同，可以通过不同形状区分不同感应区域；或者，每个感应区域上不显示数字，按照一定顺序排列该M个感应区域，本申请实施例并不限于此。
另外，本申请实施例中M个感应区域的位置可以显示在显示屏210的任意位置，例如，如图2所示，该M个感应区域均现实与整个显示屏210的下半部分，或者，也可以显示于整个屏幕210上半部分，或者，平均分布显示在整个显示屏210上，本申请实施例并不限于此。
在本申请实施例中，由于该指纹识别装置包括多个感应区域，每个感应区域均可以获取指纹图像并记录获取该指纹图像的感应区域的位置，因此，在进行指纹图像的识别验证时，可以增加对应感应区域的验证，进一步增加指纹识别安全性。
应理解，完整的指纹识别的过程通常可以分为两部分，一个是指纹录入 过程，一个是指纹验证过程。在指纹录入过程，用户输入预设指纹密码对应用对象进行加密，对应的，在指纹验证过程，用户输入需要被验证的指纹密码，通过指纹识别装置进行验证后完成解密，若验证通过，即可以访问被预设指纹密码加密的应用对象；反之，若验证失败，则不能访问。
考虑到针对不同的指纹验证过程，其对应的指纹录入过程中需要记录的信息可能存在不同，下面将在描述不同的指纹验证过程的同时，也分别描述对应的指纹录入过程。
具体地，上述方法1000中步骤S110至S130描述的主要是上述的指纹验证过程。其中，在S1010中，指纹识别装置可以通过M个感应区域，获取N个第一触摸信号，其中，每个第一触摸信号对应一个触摸区域，N个第一触摸信号对应N个触摸区域，该触摸区域是指感应区域检测到触摸操作，则该感应区域即为触摸区域。
可选地，该指纹识别装置还可以记录该N个触摸区域的顺序，例如该N个触摸区域可以按照对应的第一触摸信号的获取时间进行排列。例如，以图2为例，获取第一个第一触摸信号的感应区域为图2中的感应区域4，则该感应区域4即为触摸区域4，排在第一位；之后记录获取第二个第一触摸信号的感应区域的位置，例如第二个为感应区域8，即触摸区域8排在第二位，依次类推，按照接收到的第一触摸信号的时间顺序，依次排列检测到对应的第一触摸信号的触摸区域的顺序。
在S1020中，指纹识别装置根据N个第一触摸信号获取一一对应的N个指纹图像，该N个指纹图像为当前触摸感应区域的用户的指纹的图像，以便于该指纹识别装置在S1030中，根据该N个指纹图像与预设指纹图像组是否匹配，以及N个触摸区域与预设区域组是否匹配，来确定该N个指纹图像是否识别成功，其中，预设指纹图像组包括的指纹图像为预先录入的指纹图像，而任意一个预设区域为M个感应区域中的一个，表示的是预先录入的指纹触摸的感应区域。具体地，若该N个触摸区域与预设区域组相匹配，且所述N个指纹图像与预设指纹图像组相匹配，则确定所述N个指纹图像识别成功；否则确认该N个指纹图像识别失败。
应理解，本申请实施例中，确定任意两个指纹图像是否匹配可以包括多种方法，例如，可以根据两个指纹图像的相似度，按照设置的阈值，确定两个指纹图像是否匹配，或者也可以采用其他算法确定两个指纹图像是否匹 配，本申请实施例并不限于此。
可选地，指纹识别装置可以在用户输入待识别的指纹的同时，同步进行指纹图像和触摸区域验证，这样可以减少用户等待的时间；或者，指纹识别装置也可以先采集待识别的指纹图像和触摸区域，全部采集之后，再进行指纹验证，这样可能存在验证的时延，但是，后者可以在进行指纹图像和触摸区域验证之前，先验证个数，确定待识别的指纹的个数是否与预设指纹图像组或者预设区域个数相符，若符合，再进行指纹图像和触摸区域验证，若个数不符合，则可以不再进行指纹图像和触摸区域验证，直接确定验证失败。
可选地，在验证指纹图像和触摸区域时，可以先验证指纹图像再验证触摸区域，或者也可以先验证触摸区域再验证指纹图像，或者同时验证，本申请实施例并不限于此。
为了便于说明，本申请实施例中并不限定N个指纹图像和N个触摸区域的采集和验证的顺序，仅说明验证过程中的匹配方式和匹配结果。例如对于N个指纹图像中第i个指纹图像，在验证第i个指纹图像是否与预设指纹图像组相匹配时，第i+1个指纹图像或者其后的其它指纹图像可能还未采集，或者也可能已经完成采集；另外，可以先验证第i个指纹图像是否与预设指纹图像组相匹配，再验证对于的第i个触摸区域是否与预设区域组相匹配，或者也可以采用其它验证顺序，本申请实施例并不限于此。
在本申请实施例中，根据预设指纹图像组以及对应的预设区域组可以对应用对象进行加密处理，则在S1030中识别成功后，进而可以对该加密的应用对象进行解密处理，使得用户可以访问该应用对应或者对该应用对象进行其他操作。
具体地，将N个指纹图像与预设指纹图像组进行匹配，可以包括多种方式，例如，该预设指纹图像组可以包括N个预设指纹图像，将该N个指纹图像与N个预设指纹图像一一进行匹配，确定每一个指纹图像是否均与对应的预设指纹图像相匹配，即将N个指纹图像中第i个指纹图像与该N个预设指纹图像中的第i个预设指纹图像相匹配，也就是需要匹配N个指纹图像的获取顺序，其中，该N个指纹图像按照获取对应的N个第一触摸信号的时间顺序排列，i＝1,2,……,N；或者，还可以不考虑N个指纹图像的排列顺序，将该N个指纹图像中任意一个指纹图像与预设指纹图像组中的预设指纹图像进行匹配，确定是否存在相互匹配的，若该预设指纹图像组中存在与该任 意一个指纹图像相匹配的预设指纹图像，则匹配成功，由于该N个指纹图像中可以存在相同指纹的指纹图像，所以对该预设指纹图像组中指纹图像的数目不做限定，可以大于或者等于或者小于N；或者，还可以包括其它匹配方式，本申请实施例并不限于此。比如，也可以仅将该N个指纹图像中部分指纹图像与预设指纹图像组进行匹配，以确定是否匹配成功，例如仅匹配N个指纹图像中不重复的指纹图像，将相同指纹对应的指纹图像进行适当删除，但是该种方法与匹配全部N个指纹图像相比过程更为复杂，安全性也较低。
类似的，将N个触摸区域与预设区域进行匹配，也可以包括多种方式，例如，可以不考虑该N个触摸区域的排列顺序，若该N个触摸区域中任意一个触摸区域对应的感应区域属于该预设区域组对应的至少一个感应区域，则认为该触摸区域与预设区域组相匹配，其中，该预设区域组中任意两个预设区域为该M个感应区域中的不同感应区域，即可以不记录重复的区域，使得该预设区域组中没有重复的区域；或者，也可以考虑该N个触摸区域的排列顺序，对该N个触摸区域中的每个触摸区域按序一一进行匹配，对应的，预设区域组中包括N个预设区域，即该N个触摸区域中的第i个触摸区域与该N个预设区域中的第i个预设区域为该M个感应区域中的同一个感应区域时，确定该第i个触摸区域与第i个预设区域相匹配，其中，该N个触摸区域按照获取该N个第一触摸信号的时间顺序排列，对应的，N个预设区域按照对应的录入预设指纹图像时获取触摸信号的时间顺序排列，另外，由于考虑排列顺序，所以该N个触摸区域可以包括相同的区域，也就是该N个触摸区域中存在至少两个触摸区域为同一感应区域，同样的，N个预设区域中也可以包括相同的区域，i＝1,2,……,N；或者，还可以包括其它匹配方式，本申请实施例并不限于此。比如，还可以将N个触摸区域与预设区域组进行匹配，该预设区域组包括预设区域的个数等于N，但是不需要考虑记录该N个预设区域的顺序，在N个触摸区域中任意一个触摸区域对应的感应区域均属于该预设区域组对应的N个感应区域时，确定该N个触摸区域与预设区域组相匹配。
应理解，上述N个指纹图像的不同匹配方式和N个触摸区域的不同匹配方式之间可以任意组合使用，下面将结合具体的匹配的组合实例，对指纹识别的方法中指纹验证过程和对应的指纹录入过程进行具体说明。
可选地，作为第一个实施例，在对N个指纹图像与预设指纹图像组进行 匹配时采用方式为：该预设指纹图像组包括N个预设指纹图像，将该N个指纹图像中第i个指纹图像与该N个预设指纹图像中的第i个预设指纹图像进行匹配，其中，该N个指纹图像按照获取该N个第一触摸信号的时间顺序排列；在对N个触摸区域与预设区域组进行匹配时采用方式为：确定该N个触摸区域中任意一个触摸区域对应的感应区域是否属于该预设区域组对应的至少一个感应区域，该预设区域组中任意两个预设区域为该M个感应区域中的不同感应区域。
对应的，按照上述匹配的方式，对于获取的待识别的N个指纹图像和对应的N个触摸区域，若该N个指纹图像中第i个指纹图像与N个预设指纹图像中的第i个预设指纹图像相匹配，且该N个触摸区域中任意一个触摸区域对应的感应区域属于该预设区域组对应的至少一个感应区域，则确定待识别的该N个指纹图像识别验证成功；否则确定识别验证失败。
应理解，鉴于上述的识别验证条件，在指纹录入过程中，也就是记录预设指纹图像组和预设区域组时，包括：通过M个感应区域，获取N个第二触摸信号，确定与该N第二触摸信号一一对应的指纹图像为N个预设指纹图像，即预设指纹图像组包括该N个预设指纹图像，该N个预设指纹图像按照获取该N个第二触摸信号的时间顺序排列；另外，确定检测到该N个第二触摸信号的至少一个感应区域为该预设区域组，该预设区域组中包括至少一个预设区域，且该预设区域组中不存在对应于同一个感应区域的多个预设区域，也就是该预设区域组中的预设区域完全不同，并且，可以不记录该预设区域组的顺序。
具体地，以图2所示的指纹识别装置包括9个感应区域为例，在指纹录入过程中，假设用户取N＝3，分别用右手的食指、右手的中指和右手的食指依次触摸了感应区域4、4和5，即输入了3个第二触摸信号，按照检测到该3个第二触摸信号的顺序，依次可以确定感应区域4和5组成预设区域组，该指纹识别装置记录的预设区域组包括2个预设区域，分别为预设区域4和5，此时可以选择不记录这二个预设区域的获取顺序。另外，分别根据这2个预设区域采集的3个第二触摸信号，指纹识别装置获得3个指纹图像作为预设指纹图像组，该预设指纹图像组中包括的该三个预设指纹图像需要记录获得的顺序，即第一个预设指纹图像为第一个输入的右手食指，第二个预设指纹图像为第二输入的右手中指，第三个预设指纹图像为第三个输入的右手 食指。因此，在指纹录入过程中，指纹识别装置需要记录预设区域组中包括的预设区域位置，以及按顺序排列的预设指纹图像组。
对应的，在进行指纹验证的过程中，对于用户输入的第一个第一触摸信号，对应可以获得第一个触摸区域以及第一个指纹图像，验证时：确定该第一个触摸区域是否属于预设区域4和5对应的感应区域，也就是若该第一个触摸区域为图2中的区域4或者5，则确定该第一个触摸区域与预设区域组相匹配，否则确定不匹配；而对于第一个指纹图像，将该第一个指纹图像与预设指纹图像组中包括的3个预设指纹图像中第一个预设指纹图像进行匹配，也就是确定该第一个指纹图像是否为右手食指的指纹图像，若是，则确定第一个指纹图像与预设指纹图像组相匹配，否则确定不匹配。
若上述第一个触摸区域以及第一个指纹图像均匹配成功，则继续验证第二个第一触摸信号对应的第二个触摸区域以及第二个指纹图像，验证时：与验证第一个触摸区域以及第一个指纹图像过程一致，若第二个触摸区域为图2中的区域4或者5，则确定该第二个触摸区域与预设区域组相匹配，否则确定不匹配；而对于第二个指纹图像，将该第二个指纹图像与预设指纹图像组中包括的3个预设指纹图像中第二个预设指纹图像进行匹配，也就是确定该第二个指纹图像是否为右手中指的指纹图像，若是，则确定第二个指纹图像与预设指纹图像组相匹配，否则确定不匹配。
依次类推，将获取的N个指纹图像和对应的N个触摸区域逐一进行验证，例如这里需要验证3个指纹图像和3个触摸区域，若全部指纹图像和触摸区域均匹配，则确定验证的N个指纹图像识别成功。例如，用户用与输入预设指纹图像组和预设区域组时一样的顺序和手指触摸感应区域时，可以验证成功；或者，用户先用右手食指触摸感应区域5，再用右手中指触摸感应区域4，最后用右手食指触摸感应区域5，同样也可以验证成功；但是，如果用户先用右手中指触摸感应区域5，再用右手中指触摸感应区域4，最后用右手食指触摸感应区域5，则第一个指纹图像就不满足上述验证条件，即该用户验证失败。
可选地，在本实施例中，假设获取到3个第二触摸信号的感应区域为如图2所示的区域4、4和5，其中有两个区域重复，或者，也可以设置为预设区域组包括N个不重复的预设区域，例如获取到3个第二触摸信号的感应区域为如图2所示的区域3、4和5，这里可以选择记录或者不记录获取顺序。
在进行验证时，可以将匹配的条件设置为：若该N个指纹图像中第i个指纹图像与N个预设指纹图像中的第i个预设指纹图像相匹配，且该N个触摸区域中每个触摸区域对应的感应区域属于该N个预设区域对应的N个感应区域，则确定待识别的该N个指纹图像识别验证成功；否则确定识别验证失败。其中，该N个触摸区域中任意两个触摸区域为该M个感应区域中的不同感应区域，该N个预设区域中任意两个预设区域为该M个感应区域中的不同感应区域。
例如，预设指纹图像组包括3个预设指纹图像，分别为右手食指、中指和食指，对应的3个预设区域为3、4和5。在验证时，若用户使用与输入预设指纹图像组和预设区域组时一样的顺序和手指触摸感应区域时，可以验证成功；或者，用右手食指、中指和食指分别按照各种顺序触摸感应区域3、4和5，例如按照4、5和3的顺序，均可以验证成功；但是，若用户使用的手指错误或者顺序错误，或者触摸的感应区域存在重复，或者触摸的感应区域包括除了3、4和5以外的区域，均会验证失败。
可选地，作为第二个实施例，在对N个指纹图像与预设指纹图像组进行匹配时采用方式为：该预设指纹图像组包括N个预设指纹图像，将该N个指纹图像中第i个指纹图像与该N个预设指纹图像中的第i个预设指纹图像进行匹配，其中，该N个指纹图像按照获取该N个第一触摸信号的时间顺序排列；在对N个触摸区域与预设区域组进行匹配时采用方式为：预设区域组包括N个预设区域，确定该N个触摸区域中的第i个触摸区域与该N个预设区域中的第i个预设区域是否为该M个感应区域中的同一个感应区域，其中，该N个触摸区域按照获取该N个第一触摸信号的时间顺序排列。
对应的，按照上述匹配的方式，对于获取的待识别的N个指纹图像和对应的N个触摸区域，若该N个指纹图像中第i个指纹图像与N个预设指纹图像中的第i个预设指纹图像相匹配，且该N个触摸区域中的第i个触摸区域与该N个预设区域中的第i个预设区域为该M个感应区域中的同一个感应区域，则确定待识别的该N个指纹图像识别验证成功；否则确定识别验证失败。
应理解，鉴于上述的识别验证条件，在指纹录入过程中，也就是记录预设指纹图像组和预设区域组时，包括：通过M个感应区域，获取N个第二触摸信号，确定与该N第二触摸信号一一对应的指纹图像为N个预设指纹 图像，即预设指纹图像组包括该N个预设指纹图像，该N个预设指纹图像按照获取该N个第二触摸信号的时间顺序排列；另外，确定与该N个第二触摸信号一一对应的触摸区域为该N个预设区域，该预设区域组包括该N个预设区域，按照获取的N个第二触摸信号的时间顺序记录该N个预设区域的顺序，其中，该N个预设区域中可以存在多个预设区域对应于同一感应区域。
具体地，仍然以图2所示的指纹识别装置包括9个感应区域为例，在指纹录入过程中，假设用户取N＝3，分别用右手的食指、右手的中指和右手的食指依次触摸了感应区域4、4和5，即输入了3个第二触摸信号，按照检测到该3个第二触摸信号的顺序，依次可以确定感应区域4、4和5组成预设区域组，该指纹识别装置记录的预设区域组包括3个预设区域，分别为预设区域4、4和5，此时该预设区域组中可以包括重复的预设区域，并且需要记录这三个预设区域的获取顺序，即按序记录预设区域4、4和5。
另外，分别根据采集的3个第二触摸信号，指纹识别装置获得3个指纹图像作为预设指纹图像组，该预设指纹图像组中包括的该三个预设指纹图像也需要记录获得的顺序，即第一个预设指纹图像为第一个输入的右手食指，第二个预设指纹图像为第二输入的右手中指，第三个预设指纹图像为第三个输入的右手食指。因此，在指纹录入过程中，指纹识别装置需要记录按照顺序排列的预设区域组以及按顺序排列的预设指纹图像组，即指纹识别装置记录了第一位为预设区域4获取的右手食指的指纹图像为预设指纹图像，第二位为预设区域4获取的右手中指的指纹图像为预设指纹图像，第三位为预设区域5获取的右手食指的指纹图像为预设指纹图像。
对应的，在进行指纹验证的过程中，对于用户输入的第一个第一触摸信号，对应可以获得第一个触摸区域以及第一个指纹图像，验证时：确定该第一个触摸区域是否为排在预设区域组第一个的预设区域4，也就是第一触摸区域和第一个预设区域均对应于同一个感应区域，若该第一个触摸区域为图2中的区域4，则确定该第一个触摸区域与预设区域组相匹配，否则确定不匹配；而对于第一个指纹图像，将该第一个指纹图像与预设指纹图像组中包括的3个预设指纹图像中第一个预设指纹图像进行匹配，也就是确定该第一个指纹图像是否为右手食指的指纹图像，若是，则确定第一个指纹图像与预设指纹图像组相匹配，否则确定不匹配。
若上述第一个触摸区域以及第一个指纹图像均匹配成功，则继续验证第二个第一触摸信号对应的第二个触摸区域以及第二个指纹图像，验证时：与验证第一个触摸区域以及第一个指纹图像过程一致，若第二个触摸区域与第二个预设区域均对应同一感应区域，即对应感应区域4，则确定该第二个触摸区域与预设区域组相匹配，否则确定不匹配；而对于第二个指纹图像，将该第二个指纹图像与预设指纹图像组中包括的3个预设指纹图像中第二个预设指纹图像进行匹配，也就是确定该第二个指纹图像是否为右手中指的指纹图像，若是，则确定第二个指纹图像与预设指纹图像组相匹配，否则确定不匹配。
依次类推，将获取的N个指纹图像和对应的N个触摸区域逐一进行验证，例如这里需要验证3个指纹图像和3个触摸区域，若全部指纹图像和触摸区域均匹配，则确定验证的N个指纹图像识别成功。例如，用户仅在先用右手的食指触摸感应区域4，再用右手的中指触摸感应区域4，最后用右手的食指触摸感应区域5时，才能验证成功，其它情况均会验证失败。
在本实施例中，需要验证指纹图像的顺序和触摸区域的顺序，验证条件较多，安全性能相对也较高。
可选地，作为第三个实施例，在对N个指纹图像与预设指纹图像组进行匹配时采用方式为：确定该预设指纹图像组中是否存在与该N个指纹图像中任意一个指纹图像相匹配的预设指纹图像；在对N个触摸区域与预设区域组进行匹配时采用方式为：预设区域组中包括N个预设区域，确定该N个触摸区域中每个触摸区域对应的感应区域是否属于该N个预设区域对应的N个感应区域，该N个触摸区域中任意两个触摸区域为该M个感应区域中的不同感应区域，该N个预设区域中任意两个预设区域为该M个感应区域中的不同感应区域。
对应的，按照上述匹配的方式，对于获取的待识别的N个指纹图像和对应的N个触摸区域，若该预设指纹图像组中存在与该N个指纹图像中任意一个指纹图像相匹配的预设指纹图像；且该N个触摸区域中任意一个触摸区域对应的感应区域属于该N个预设区域对应的至少一个感应区域，则确定待识别的该N个指纹图像识别验证成功；否则确定识别验证失败。
应理解，鉴于上述的识别验证条件，在指纹录入过程中，也就是记录预设指纹图像组和预设区域组时，包括：通过M个感应区域，获取N个第二 触摸信号；获取该N第二触摸信号对应的至少一个指纹图像，该预设指纹图像组包括该至少一个指纹图像，其中，可以记录也可以不记录该至少一个预设指纹图像按照获取对应的N个第二触摸信号的时间顺序；另外，确定与该N个第二触摸信号一一对应的触摸区域为该N个预设区域，该N个预设区域组成预设区域组，且该N个预设区域中不存在对应于同一个感应区域的多个预设区域，也就是该N个预设区域完全不同，其中，可以记录或者不记录该N个预设区域的顺序。
具体地，仍然以图2所示的指纹识别装置包括9个感应区域为例，在指纹录入过程中，假设用户取N＝3，设置的预设区域组中不包括重复的区域，因此，分别用右手的食指、右手的中指和右手的食指依次触摸了感应区域3、4和5，即输入了3个第二触摸信号，按照检测到该3个第二触摸信号的顺序，依次可以确定感应区域3、4和5组成预设区域组，该指纹识别装置记录的预设区域组包括3个预设区域，分别为预设区域3、4和5，此时可以选择记录或者不记录这三个预设区域的获取顺序。
另外，分别根据这3个预设区域采集的3个第二触摸信号，指纹识别装置获得3个指纹图像，但是该3个指纹图像中会存在两个指纹图像相同或者基本相同，指纹识别装置可以将该两个相同的指纹图像保留其中一个，即设置的预设指纹图像组中仅包括右手食指和中指这两个不同的预设指纹图像，或者，指纹识别装置将获得3个指纹图像均作为预设指纹图像，该预设指纹图像组中包括该三个预设指纹图像，并且，该指纹识别装置可以选择记录或者不记录该3个预设指纹图像的获取顺序。因此，在指纹录入过程中，指纹识别装置需要记录预设指纹图像组以及预设区域组。
对应的，在进行指纹验证的过程中，对于用户输入的第一个第一触摸信号，对应可以获得第一个触摸区域以及第一个指纹图像，验证时：确定该第一个触摸区域是否属于预设区域3、4和5对应的感应区域，也就是若该第一个触摸区域为图2中的区域3、4或者5，则确定该第一个触摸区域与预设区域组相匹配，否则确定不匹配；而对于第一个指纹图像，将该第一个指纹图像与预设指纹图像组中包括的预设指纹图像进行匹配，也就是确定该第一个指纹图像是否为右手食指或者右手中指的指纹图像，若是，则确定第一个指纹图像与预设指纹图像组相匹配，否则确定不匹配。
若上述第一个触摸区域以及第一个指纹图像均匹配成功，则继续验证第 二个第一触摸信号对应的第二个触摸区域以及第二个指纹图像，验证时：与验证第一个触摸区域以及第一个指纹图像过程一致，但第二个触摸区域不能与第一个触摸区域相关，即若第二个触摸区域为图2中的区域3、4或者5，且第二个触摸区域与第一个触摸区域不同，则确定该第二个触摸区域与预设区域组相匹配，否则确定不匹配；而对于第二个指纹图像，将该第二个指纹图像与预设指纹图像组中包括的预设指纹图像进行匹配，也就是确定该第二个指纹图像是否为右手食指或者中指的指纹图像，若是，则确定第二个指纹图像与预设指纹图像组相匹配，否则确定不匹配。
依次类推，将获取的N个指纹图像和对应的N个触摸区域逐一进行验证，例如这里需要验证3个指纹图像和3个触摸区域，若全部指纹图像和触摸区域均匹配，则确定验证的N个指纹图像识别成功。例如，例如，用户用与输入预设指纹图像组和预设区域组时一样的顺序和手指触摸感应区域时，可以验证成功；或者，用户用右手食指分别触摸感应区域3、4和5，或者分别触摸感应区域4、5和3，均满足上述验证条件，可以确定验证通过；但是，若用户用右手食指分别触摸感应区域3、3和4，或者分别触摸感应区域4、5和6，则不满足上述验证条件，验证失败。
可选地，作为第四个实施例，在对N个指纹图像与预设指纹图像组进行匹配时采用方式为：确定该预设指纹图像组中是否存在与该N个指纹图像中任意一个指纹图像相匹配的预设指纹图像；在对N个触摸区域与预设区域组进行匹配时采用方式为：预设区域组包括N个预设区域，确定该N个触摸区域中的第i个触摸区域与该N个预设区域中的第i个预设区域是否为该M个感应区域中的同一个感应区域，其中，该N个触摸区域按照获取该N个第一触摸信号的时间顺序排列。
对应的，按照上述匹配的方式，对于获取的待识别的N个指纹图像和对应的N个触摸区域，若该预设指纹图像组中存在与该N个指纹图像中任意一个指纹图像相匹配的预设指纹图像；且该N个触摸区域中的第i个触摸区域与该N个预设区域中的第i个预设区域为该M个感应区域中的同一个感应区域，则确定待识别的该N个指纹图像识别验证成功；否则确定识别验证失败。
应理解，鉴于上述的识别验证条件，在指纹录入过程中，也就是记录预设指纹图像组和预设区域组时，包括：通过M个感应区域，获取N个第二 触摸信号；获取该N第二触摸信号对应的至少一个指纹图像，该预设指纹图像组包括该至少一个指纹图像，其中，可以记录也可以不记录该N个预设指纹图像按照获取该N个第二触摸信号的时间顺序；另外，确定与该N个第二触摸信号一一对应的触摸区域为该N个预设区域，该预设区域组包括该N个预设区域，按照获取的N个第二触摸信号的时间顺序记录该N个预设区域的顺序，其中，该N个预设区域中可以存在多个预设区域对应于同一感应区域。
具体地，仍然以图2所示的指纹识别装置包括9个感应区域为例，在指纹录入过程中，假设用户取N＝3，分别用右手的食指、右手的中指和右手的食指依次触摸了感应区域4、4和5，即输入了3个第二触摸信号，按照检测到该3个第二触摸信号的顺序，依次可以确定感应区域4、4和5组成预设区域组，该指纹识别装置记录的预设区域组包括3个预设区域，分别为预设区域4、4和5，此时该预设区域组中可以包括重复的预设区域，并且需要记录这三个预设区域的获取顺序，即按序记录预设区域4、4和5。
另外，分别根据这3个预设区域采集的3个第二触摸信号，指纹识别装置获得3个指纹图像，但是该3个指纹图像中会存在两个指纹图像相同或者基本相同，指纹识别装置可以将该两个相同的指纹图像保留其中一个，即设置的预设指纹图像组中仅包括右手食指和中指这两个不同的预设指纹图像，或者，指纹识别装置将获得3个指纹图像均作为预设指纹图像，该预设指纹图像组中包括该三个预设指纹图像，并且，该指纹识别装置可以选择记录或者不记录该3个预设指纹图像的获取顺序。因此，在指纹录入过程中，指纹识别装置需要记录预设指纹图像组以及按照顺序排列的预设区域组。
对应的，在进行指纹验证的过程中，对于用户输入的第一个第一触摸信号，对应可以获得第一个触摸区域以及第一个指纹图像，验证时：确定该第一个触摸区域是否为排在预设区域组第一个的预设区域4，也就是第一触摸区域和第一个预设区域均对应于同一个感应区域，若该第一个触摸区域为图2中的区域4，则确定该第一个触摸区域与预设区域组相匹配，否则确定不匹配；而对于第一个指纹图像，将该第一个指纹图像与预设指纹图像组中包括的预设指纹图像进行匹配，也就是确定该第一个指纹图像是否为右手食指或者右手中指的指纹图像，若是，则确定第一个指纹图像与预设指纹图像组相匹配，否则确定不匹配。
若上述第一个触摸区域以及第一个指纹图像均匹配成功，则继续验证第二个第一触摸信号对应的第二个触摸区域以及第二个指纹图像，验证时：与验证第一个触摸区域以及第一个指纹图像过程一致，若第二个触摸区域与第二个预设区域均对应同一感应区域，即对应感应区域4，则确定该第二个触摸区域与预设区域组相匹配，否则确定不匹配；而对于第二个指纹图像，将该第二个指纹图像与预设指纹图像组中包括的预设指纹图像进行匹配，也就是确定该第二个指纹图像是否为右手食指或者中指的指纹图像，若是，则确定第二个指纹图像与预设指纹图像组相匹配，否则确定不匹配。
依次类推，将获取的N个指纹图像和对应的N个触摸区域逐一进行验证，例如这里需要验证3个指纹图像和3个触摸区域，若全部指纹图像和触摸区域均匹配，则确定验证的N个指纹图像识别成功。例如，用户只要按顺序先触摸感应区域4，再触摸感应区域4，最后触摸感应区域5，而使用的手指是右手的食指和/或中指，即右手食指和中指按任意顺序使用时，均可以验证通过，但是如果触摸的感应区域顺序错误，或者使用了除右手食指和中指以外其他手指，则验证失败。
综上所述，根据验证N个指纹图像和N个触摸区域的匹配条件的不同，可以组合设置多个实施例，本申请实施例并不限于此。
考虑安全性能的角度，上述四个实施例中，使用第二个实施例时，安全性能较高。下面将结合图3和图4，详细描述第二个实施例的指纹录入过程和验证过程。
图3示出了根据本申请实施例的指纹录入过程300的示意性流程图。如图3所示，假设该指纹录入过程应用于对手机中目标应用进行加密，该指纹录入过程可以包括以下步骤。
S310，指纹录入开始。可选地，可以通过手机中某一个应用程序，启动对目标应用的加密过程。
S320，设定将要触发的感应区域数目，并初始化录入成功数目计数器N＝0。
在指纹录入开始时，用户可以先设置对该目标应用希望设置的密码数量S，也就是即将要输入的指纹图像的个数，也是要触摸的感应区域的个数，以便于在达到该数目后，手机可以确定用户完成了本次设置。
可选地，也可以不先设置该数目，在用户输入到一定数量后，想要结束 设置时，通过收集显示屏上显示的相关提示选项，结束设置，此时已经输入的指纹数目即为该目标应用的密码数量。
S330，依个人意志选择感应区域。用户按照自己的意愿设置密码，依次触摸感应区域。例如，如图2所示，用户希望设置的密码为1234，则用户依次触摸显示屏上显示的感应区域1、2、3和4，作为4个预设区域，即密码。
其中，在N＝0时，即第一次时，用户触摸的第一个感应区域作为第一个预设区域。N＝1时，用户再次触摸的感应区域为第二个预设区域。依次类推。
S340，录入指纹图像。用户在S330输入密码的时候，采用相同或者不同的手指进行触摸，手机在记录预设区域的顺序和位置时，也采集触摸到对应的每个预设区域上的手指的指纹。
例如，用户分别用右手的食指、中指、无名指和中指触摸的感应区域1、2、3和4，则在步骤S340中，手机录入了按照顺序排列的四个指纹图像，分别为右手的食指、中指、无名指和中指的指纹图像。
其中，在N＝0时，即第一次时，用户首次触摸获得的指纹图像作为第一个预设指纹图像。N＝1时，用户再次触摸获得的指纹图像作为第二预设指纹图像。依次类推。
S350，是否成功录入。确定当前次的录入，是否已经成功记录的预设区域的编码或者位置，以及对应的指纹图像。若当前次录入成功，继续执行S360，若录入失败，例如记录预设区域失败，则返回执行S330，重新记录预设区域；或者，若是记录本次预设指纹图像失败，例如该预设指纹图像不清楚，则返回执行S340，其中，图3是以返回执行S340为例。
S360，N＝N+1。本次录入成功后，将N值加1后，再执行S370的判断。
S370，N<S。确定N与预先设置的数目S之间关系，若N<S，说明当前录入未结束，继续执行S330，继续录入下一个预设指纹图像和对应的预设区域；否则继续执行S380。
S380，记录预设区域顺序。当N＝S时，说明预设指纹图像录入完成，同时需要记录对应的预设区域位置及顺序。例如，在S330中，用户选择的感应区域1、2、3和4，并按此顺序触摸，则记录预设区域依次为1、2、3和4。
S390，指纹录入结束。完成对目标应用的加密过程。
对应的，在用户需要访问该目标应用时，需要对用户进行验证，在验证 成功时，解密该目标应用，使得用户可以访问该目标应用。如图4所示，图4示出了根据本申请实施例的指纹验证过程300的示意性流程图，其包括以下步骤。
S401，指纹认证开始。手机可以设置为用户在选择该目标应用时，向用户显示需要进行指纹验证，例如，向用户显示如图2所示的9个感应区域的页面。
S402，初始化指纹认证成功数目计数器N＝0。该计数器用于记录当前认证通过的指纹的数目，在开始输入指纹之前，该计数器为0。
S403，手指触摸感应区域，采集指纹。用户开始输入密码，即用手指触摸感应区域，对应的感应区域检测触摸信号，并根据触摸信号获取指纹图像。
S404，触摸区域触发顺序是否与预设区域录入顺序一致。
以输入的第一个指纹为例，按照图3中的实施例，第一个预设指纹图像时右手食指，对应的预设区域为1，因此，在S404中，确定输入的第一个触摸信号是否在感应区域1上检测到，若是，则确定该触摸区域触发顺序与预设区域录入顺序一致，继续执行S405；否则执行S408。
S405，指纹图像是否与预设指纹图像组匹配成功。
同样以输入的第一个指纹为例，按照图3中的实施例，第一个预设指纹图像时右手食指，因此，在S405中，确定输入的第一个指纹图像是否与第一个预设指纹图像相匹配，若匹配，则确定该第一个指纹图像与预设指纹图像组匹配，继续执行S406；否则执行S408。
S406，N＝N+1。以第一个指纹为例，按照上述步骤，该第一个指纹验证成功，则可以继续验证下一个指纹。
S407，N<S。确定N与预先设置的数目S之间关系，若N<S，说明当前输入未结束，继续执行S403，继续输入下一个待验证的指纹；否则继续执行S409。
S408，指纹认证失败。在指纹图像与预设指纹图像不匹配和/或触摸区域与预设区域不匹配时，均确定指纹验证失败。
S409，指纹认证成功。在指纹图像与预设指纹图像相匹配且触摸区域与预设区域相匹配时，确定指纹验证成功。用户解密目标应用，可以进入目标应用进行访问。
S410，指纹认证结束。
因此，本申请实施例的指纹识别的方法，通过将多个触摸传感器拼接的方式，在指纹识别装置中设置多个感应区域，使得用户可以选择性触发全部或部分感应区域，在验证用户指纹图像的同时，也可以验证触发感应区域的位置和顺序，将指纹验证与密码验证相结合，从而增加指纹识别的安全性能。例如，通常情况下，在录入指纹时，设置的录入手指数目越多，认证的安全性就会越高；触发的传感器越多，认证的安全性就会越高。
应理解，在本申请的各种实施例中，上述各过程的序号的大小并不意味着执行顺序的先后，各过程的执行顺序应以其功能和内在逻辑确定，而不应对本申请实施例的实施过程构成任何限定。
上文中结合图1至图4，详细描述了根据本申请实施例的指纹识别的方法，下面将结合图5，描述根据本申请实施例的指纹识别装置。
如图5所示，根据本申请实施例的指纹识别装置500包括：M个感应区域510、获取单元520和识别单元530，M为大于1的正整数。
具体地，该M个感应区域510用于：获取N个第一触摸信号，该N个第一触摸信号一一对应N个触摸区域，该N个触摸区域中任意一个触摸区域为该M个感应区域510中的一个，N为正整数；该获取单元520用于：获取与该N个第一触摸信号一一对应的N个指纹图像；该识别单元530用于：若该N个触摸区域与预设区域组相匹配，且该N个指纹图像与预设指纹图像组相匹配，确定该N个指纹图像识别成功，该预设区域组中的任意一个预设区域为该M个感应区域510中的一个。
应理解，本申请实施例中的触摸区域与预设区域均为感应区域，触摸区域指在指纹验证过程中，检测到触摸信号的感应区域；预设区域指在预设指纹图像的录入过程中，检测到触摸信号的感应区域。
可选地，作为一个实施例，该N个指纹图像与该预设指纹图像组相匹配，包括：该预设指纹图像组包括N个预设指纹图像，该N个指纹图像中第i个指纹图像与该N个预设指纹图像中的第i个预设指纹图像相匹配，其中，该N个指纹图像按照获取该N个第一触摸信号的时间顺序排列，i＝1,2,……,N；该N个触摸区域与该预设区域组相匹配，包括：该预设区域组包括N个预设区域，该N个触摸区域中的第i个触摸区域与该N个预设区域中的第i个预设区域为该M个感应区域510中的同一个感应区域，其中，该N个触摸区域按照获取该N个第一触摸信号的时间顺序排列，i＝1,2,……,N。
可选地，作为一个实施例，该M个感应区域510还用于：获取N个第二触摸信号；该获取单元520还用于：获取与该N第二触摸信号一一对应的指纹图像为该N个预设指纹图像，该N个预设指纹图像按照获取该N个第二触摸信号的时间顺序排列，获取与该N第二触摸信号一一对应的感应区域为该N个预设区域，该N个预设区域按照获取该N个第二触摸信号的时间顺序排列。
可选地，作为一个实施例，该N个指纹图像与该预设指纹图像组相匹配，包括：该预设指纹图像组中存在与该N个指纹图像中任意一个指纹图像相匹配的预设指纹图像；该N个触摸区域与该预设区域组相匹配，包括：该预设区域组包括N个预设区域，该N个触摸区域中的第i个触摸区域与该N个预设区域中的第i个预设区域为该M个感应区域510中的同一个感应区域，其中，该N个触摸区域按照获取该N个第一触摸信号的时间顺序排列，i＝1,2,……,N。
可选地，作为一个实施例，该M个感应区域510还用于：获取N个第二触摸信号；该获取单元520还用于：获取该N第二触摸信号对应的至少一个指纹图像，该预设指纹图像组包括该至少一个指纹图像，获取与该N第二触摸信号一一对应的感应区域为该N个预设区域，该N个预设区域按照获取该N个第二触摸信号的时间顺序排列。
可选地，作为一个实施例，该N个指纹图像与该预设指纹图像组相匹配，包括：该预设指纹图像组包括N个预设指纹图像，该N个指纹图像中第i个指纹图像与该N个预设指纹图像中的第i个预设指纹图像相匹配，其中，该N个指纹图像按照获取该N个第一触摸信号的时间顺序排列，i＝1,2,……,N；该N个触摸区域与该预设区域组相匹配，包括：该N个触摸区域中任意一个触摸区域对应的感应区域属于该预设区域组对应的至少一个感应区域，该预设区域组中任意两个预设区域为该M个感应区域510中的不同感应区域。
可选地，作为一个实施例，该M个感应区域510还用于：获取N个第二触摸信号；该获取单元520还用于：获取与该N第二触摸信号一一对应的指纹图像为该N个预设指纹图像，该N个预设指纹图像按照获取该N个第二触摸信号的时间顺序排列，将检测到该N个第二触摸信号的至少一个感应区域确定为该预设区域组中的预设区域，该预设区域组包括至少一个预设区 域。
可选地，作为一个实施例，该N个指纹图像与该预设指纹图像组相匹配，包括：该预设指纹图像组中存在与该N个指纹图像中任意一个指纹图像相匹配的预设指纹图像；该N个触摸区域与该预设区域组相匹配，包括：该N个触摸区域中任意一个触摸区域对应的感应区域属于该预设区域组对应的至少一个感应区域，该预设区域组中任意两个预设区域为该M个感应区域中的不同感应区域。
可选地，作为一个实施例，该M个感应区域还用于：获取N个第二触摸信号；该获取单元520还用于：获取该N第二触摸信号对应的至少一个指纹图像，该预设指纹图像组包括该至少一个指纹图像；将检测到该N个第二触摸信号的至少一个感应区域确定为该预设区域组中的预设区域，该预设区域组包括至少一个预设区域。
可选地，作为一个实施例，该指纹识别装置还包括与该M个感应区域410一一对应的M个触摸传感器，该触摸传感器用于感应触摸操作并产生触摸信号。
应理解，根据本申请实施例的指纹识别装置500可对应于执行本申请实施例中的方法1000、300和400，并且指纹识别装置500中的各个部分或单元的上述和其它操作和/或功能分别为了实现图1至图4中的各个方法的相应流程，为了简洁，在此不再赘述。
因此，本申请实施例的指纹识别装置，通过将多个触摸传感器拼接的方式，以实现在指纹识别装置中设置多个感应区域，使得用户可以选择性触发全部或部分感应区域，在验证用户指纹图像的同时，也可以验证触发感应区域的位置和顺序，增加指纹识别的安全性能。例如，在录入指纹时，设置的录入手指数目越多，认证的安全性就会越高；触发的传感器越多，认证的安全性就会越高。
应理解，本申请实施例中的指纹识别装置500中的获取单元520和识别单元530可以为处理器，该指纹识别装置500还可以包括存储器。其中，处理器可以从存储器中调用并运行计算机程序，以实现本申请实施例中的方法。其中，存储器可以是独立于处理器的一个单独的器件，也可以集成在处理器中。
应理解，本申请实施例的处理器可能是一种集成电路芯片，具有信号的 处理能力。在实现过程中，上述方法实施例的各步骤可以通过处理器中的硬件的集成逻辑电路或者软件形式的指令完成。上述的处理器可以是通用处理器、数字信号处理器(Digital Signal Processor，DSP)、专用集成电路(Application Specific Integrated Circuit，ASIC)、现成可编程门阵列(Field Programmable Gate Array，FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件。可以实现或者执行本申请实施例中的公开的各方法、步骤及逻辑框图。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。结合本申请实施例所公开的方法的步骤可以直接体现为硬件译码处理器执行完成，或者用译码处理器中的硬件及软件模块组合执行完成。软件模块可以位于随机存储器，闪存、只读存储器，可编程只读存储器或者电可擦写可编程存储器、寄存器等本领域成熟的存储介质中。该存储介质位于存储器，处理器读取存储器中的信息，结合其硬件完成上述方法的步骤。
可以理解，本申请实施例中的存储器可以是易失性存储器或非易失性存储器，或可包括易失性和非易失性存储器两者。其中，非易失性存储器可以是只读存储器(Read-Only Memory，ROM)、可编程只读存储器(Programmable ROM，PROM)、可擦除可编程只读存储器(Erasable PROM，EPROM)、电可擦除可编程只读存储器(Electrically EPROM，EEPROM)或闪存。易失性存储器可以是随机存取存储器(Random Access Memory，RAM)，其用作外部高速缓存。通过示例性但不是限制性说明，许多形式的RAM可用，例如静态随机存取存储器(Static RAM，SRAM)、动态随机存取存储器(Dynamic RAM，DRAM)、同步动态随机存取存储器(Synchronous DRAM，SDRAM)、双倍数据速率同步动态随机存取存储器(Double Data Rate SDRAM，DDR SDRAM)、增强型同步动态随机存取存储器(Enhanced SDRAM，ESDRAM)、同步连接动态随机存取存储器(Synchlink DRAM，SLDRAM)和直接内存总线随机存取存储器(Direct Rambus RAM，DR RAM)。应注意，本文描述的系统和方法的存储器旨在包括但不限于这些和任意其它适合类型的存储器。
应理解，上述存储器为示例性但不是限制性说明，例如，本申请实施例中的存储器还可以是静态随机存取存储器(static RAM，SRAM)、动态随机存取存储器(dynamic RAM，DRAM)、同步动态随机存取存储器(synchronous  DRAM，SDRAM)、双倍数据速率同步动态随机存取存储器(double data rate SDRAM，DDR SDRAM)、增强型同步动态随机存取存储器(enhanced SDRAM，ESDRAM)、同步连接动态随机存取存储器(synch link DRAM，SLDRAM)以及直接内存总线随机存取存储器(Direct Rambus RAM，DR RAM)等等。也就是说，本申请实施例中的存储器旨在包括但不限于这些和任意其它适合类型的存储器。
本领域普通技术人员可以意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本申请的范围。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统、装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在本申请所提供的几个实施例中，应该理解到，所揭露的系统、装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。
所述功能如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的部 分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(read-only memory，ROM)、随机存取存储器(random access memory，RAM)、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述，仅为本申请的具体实施方式，但本申请的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本申请揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本申请的保护范围之内。因此，本申请的保护范围应以所述权利要求的保护范围为准。

Claims (21)

  1. 一种指纹识别的方法，其特征在于，所述方法应用于指纹识别装置，所述指纹识别装置包括M个感应区域，M为大于1的正整数，所述方法包括：
    通过所述M个感应区域，获取N个第一触摸信号，所述N个第一触摸信号一一对应N个触摸区域，所述N个触摸区域中任意一个触摸区域为所述M个感应区域中的一个，N为正整数；
    获取与所述N个第一触摸信号一一对应的N个指纹图像；
    若所述N个触摸区域与预设区域组相匹配，且所述N个指纹图像与预设指纹图像组相匹配，确定所述N个指纹图像识别成功，所述预设区域组中的任意一个预设区域为所述M个感应区域中的一个。
  2. 根据权利要求1所述的方法，其特征在于，所述N个指纹图像与所述预设指纹图像组相匹配，包括：
    所述预设指纹图像组包括N个预设指纹图像，所述N个指纹图像中第i个指纹图像与所述N个预设指纹图像中的第i个预设指纹图像相匹配，其中，所述N个指纹图像按照获取所述N个第一触摸信号的时间顺序排列，i＝1,2,……,N；
    所述N个触摸区域与所述预设区域组相匹配，包括：
    所述预设区域组包括N个预设区域，所述N个触摸区域中的第i个触摸区域与所述N个预设区域中的第i个预设区域为所述M个感应区域中的同一个感应区域，其中，所述N个触摸区域按照获取所述N个第一触摸信号的时间顺序排列，i＝1,2,……,N。
  3. 根据权利要求2所述的方法，其特征在于，所述方法还包括：
    通过所述M个感应区域，获取N个第二触摸信号；
    获取与所述N第二触摸信号一一对应的指纹图像为所述N个预设指纹图像，所述N个预设指纹图像按照获取所述N个第二触摸信号的时间顺序排列；
    获取与所述N第二触摸信号一一对应的感应区域为所述N个预设区域，所述N个预设区域按照获取所述N个第二触摸信号的时间顺序排列。
  4. 根据权利要求1所述的方法，其特征在于，所述N个指纹图像与所述预设指纹图像组相匹配，包括：
    所述预设指纹图像组中存在与所述N个指纹图像中任意一个指纹图像相匹配的预设指纹图像；
    所述N个触摸区域与所述预设区域组相匹配，包括：
    所述预设区域组包括N个预设区域，所述N个触摸区域中的第i个触摸区域与所述N个预设区域中的第i个预设区域为所述M个感应区域中的同一个感应区域，其中，所述N个触摸区域按照获取所述N个第一触摸信号的时间顺序排列，i＝1,2,……,N。
  5. 根据权利要求4所述的方法，其特征在于，所述方法还包括：
    通过所述M个感应区域，获取N个第二触摸信号；
    获取所述N第二触摸信号对应的至少一个指纹图像，所述预设指纹图像组包括所述至少一个指纹图像；
    获取与所述N第二触摸信号一一对应的感应区域为所述N个预设区域，所述N个预设区域按照获取所述N个第二触摸信号的时间顺序排列。
  6. 根据权利要求1所述的方法，其特征在于，所述N个指纹图像与所述预设指纹图像组相匹配，包括：
    所述预设指纹图像组包括N个预设指纹图像，所述N个指纹图像中第i个指纹图像与所述N个预设指纹图像中的第i个预设指纹图像相匹配，其中，所述N个指纹图像按照获取所述N个第一触摸信号的时间顺序排列，i＝1,2,……,N；
    所述N个触摸区域与所述预设区域组相匹配，包括：
    所述N个触摸区域中任意一个触摸区域对应的感应区域属于所述预设区域组对应的至少一个感应区域，所述预设区域组中任意两个预设区域为所述M个感应区域中的不同感应区域。
  7. 根据权利要求6所述的方法，其特征在于，所述方法还包括：
    通过所述M个感应区域，获取N个第二触摸信号；
    获取与所述N第二触摸信号一一对应的指纹图像为所述N个预设指纹图像，所述N个预设指纹图像按照获取所述N个第二触摸信号的时间顺序排列；
    将检测到所述N个第二触摸信号的至少一个感应区域确定为所述预设区域组中的预设区域，所述预设区域组包括至少一个预设区域。
  8. 根据权利要求1所述的方法，其特征在于，所述N个指纹图像与所 述预设指纹图像组相匹配，包括：
    所述预设指纹图像组中存在与所述N个指纹图像中任意一个指纹图像相匹配的预设指纹图像；
    所述N个触摸区域与所述预设区域组相匹配，包括：
    所述N个触摸区域中任意一个触摸区域对应的感应区域属于所述预设区域组对应的至少一个感应区域，所述预设区域组中任意两个预设区域为所述M个感应区域中的不同感应区域。
  9. 根据权利要求8所述的方法，其特征在于，所述方法还包括：
    通过所述M个感应区域，获取N个第二触摸信号；
    获取所述N第二触摸信号对应的至少一个指纹图像，所述预设指纹图像组包括所述至少一个指纹图像；
    将检测到所述N个第二触摸信号的至少一个感应区域确定为所述预设区域组中的预设区域，所述预设区域组包括至少一个预设区域。
  10. 根据权利要求1至9中任一项所述的方法，其特征在于，所述M个感应区域中每个感应区域包括一个触摸传感器，所述触摸传感器用于感应触摸操作并产生触摸信号。
  11. 一种指纹识别装置，其特征在于，包括：M个感应区域、获取单元和识别单元，M为大于1的正整数，
    所述M个感应区域用于：获取N个第一触摸信号，所述N个第一触摸信号一一对应N个触摸区域，所述N个触摸区域中任意一个触摸区域为所述M个感应区域中的一个，N为正整数；
    所述获取单元用于：获取与所述N个第一触摸信号一一对应的N个指纹图像；
    所述识别单元用于：若所述N个触摸区域与预设区域组相匹配，且所述N个指纹图像与预设指纹图像组相匹配，确定所述N个指纹图像识别成功，所述预设区域组中的任意一个预设区域为所述M个感应区域中的一个。
  12. 根据权利要求11所述的指纹识别装置，其特征在于，所述N个指纹图像与所述预设指纹图像组相匹配，包括：
    所述预设指纹图像组包括N个预设指纹图像，所述N个指纹图像中第i个指纹图像与所述N个预设指纹图像中的第i个预设指纹图像相匹配，其中，所述N个指纹图像按照获取所述N个第一触摸信号的时间顺序排列，i＝1, 2,……,N；
    所述N个触摸区域与所述预设区域组相匹配，包括：
    所述预设区域组包括N个预设区域，所述N个触摸区域中的第i个触摸区域与所述N个预设区域中的第i个预设区域为所述M个感应区域中的同一个感应区域，其中，所述N个触摸区域按照获取所述N个第一触摸信号的时间顺序排列，i＝1,2,……,N。
  13. 根据权利要求12所述的指纹识别装置，其特征在于，所述M个感应区域还用于：
    获取N个第二触摸信号；
    所述获取单元还用于：
    获取与所述N第二触摸信号一一对应的指纹图像为所述N个预设指纹图像，所述N个预设指纹图像按照获取所述N个第二触摸信号的时间顺序排列，
    获取与所述N第二触摸信号一一对应的感应区域为所述N个预设区域，所述N个预设区域按照获取所述N个第二触摸信号的时间顺序排列。
  14. 根据权利要求11所述的指纹识别装置，其特征在于，所述N个指纹图像与所述预设指纹图像组相匹配，包括：
    所述预设指纹图像组中存在与所述N个指纹图像中任意一个指纹图像相匹配的预设指纹图像；
    所述N个触摸区域与所述预设区域组相匹配，包括：
    所述预设区域组包括N个预设区域，所述N个触摸区域中的第i个触摸区域与所述N个预设区域中的第i个预设区域为所述M个感应区域中的同一个感应区域，其中，所述N个触摸区域按照获取所述N个第一触摸信号的时间顺序排列，i＝1,2,……,N。
  15. 根据权利要求14所述的指纹识别装置，其特征在于，所述M个感应区域还用于：
    获取N个第二触摸信号；
    所述获取单元还用于：
    获取所述N第二触摸信号对应的至少一个指纹图像，所述预设指纹图像组包括所述至少一个指纹图像，
    获取与所述N第二触摸信号一一对应的感应区域为所述N个预设区域， 所述N个预设区域按照获取所述N个第二触摸信号的时间顺序排列。
  16. 根据权利要求11所述的指纹识别装置，其特征在于，所述N个指纹图像与所述预设指纹图像组相匹配，包括：
    所述预设指纹图像组包括N个预设指纹图像，所述N个指纹图像中第i个指纹图像与所述N个预设指纹图像中的第i个预设指纹图像相匹配，其中，所述N个指纹图像按照获取所述N个第一触摸信号的时间顺序排列，i＝1,2,……,N；
    所述N个触摸区域与所述预设区域组相匹配，包括：
    所述N个触摸区域中任意一个触摸区域对应的感应区域属于所述预设区域组对应的至少一个感应区域，所述预设区域组中任意两个预设区域为所述M个感应区域中的不同感应区域。
  17. 根据权利要求16所述的指纹识别装置，其特征在于，所述M个感应区域还用于：
    获取N个第二触摸信号；
    所述获取单元还用于：
    获取与所述N第二触摸信号一一对应的指纹图像为所述N个预设指纹图像，所述N个预设指纹图像按照获取所述N个第二触摸信号的时间顺序排列，
    将检测到所述N个第二触摸信号的至少一个感应区域确定为所述预设区域组中的预设区域，所述预设区域组包括至少一个预设区域。
  18. 根据权利要求11所述的指纹识别装置，其特征在于，所述N个指纹图像与所述预设指纹图像组相匹配，包括：
    所述预设指纹图像组中存在与所述N个指纹图像中任意一个指纹图像相匹配的预设指纹图像；
    所述N个触摸区域与所述预设区域组相匹配，包括：
    所述N个触摸区域中任意一个触摸区域对应的感应区域属于所述预设区域组对应的至少一个感应区域，所述预设区域组中任意两个预设区域为所述M个感应区域中的不同感应区域。
  19. 根据权利要求18所述的指纹识别装置，其特征在于，所述M个感应区域还用于：
    获取N个第二触摸信号；
    所述获取单元还用于：
    获取所述N第二触摸信号对应的至少一个指纹图像，所述预设指纹图像组包括所述至少一个指纹图像；
    将检测到所述N个第二触摸信号的至少一个感应区域确定为所述预设区域组中的预设区域，所述预设区域组包括至少一个预设区域。
  20. 根据权利要求11至19中任一项所述的指纹识别装置，其特征在于，所述指纹识别装置还包括与所述M个感应区域一一对应的M个触摸传感器，所述触摸传感器用于感应触摸操作并产生触摸信号。
  21. 一种终端设备，其特征在于，包括：如权利要求11至20所述的指纹识别装置和显示屏，所述显示屏用于显示所述M个感应区域。
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