WO2019019836A1 - 解锁控制方法及相关产品 - Google Patents

解锁控制方法及相关产品 Download PDF

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Publication number
WO2019019836A1
WO2019019836A1 PCT/CN2018/091871 CN2018091871W WO2019019836A1 WO 2019019836 A1 WO2019019836 A1 WO 2019019836A1 CN 2018091871 W CN2018091871 W CN 2018091871W WO 2019019836 A1 WO2019019836 A1 WO 2019019836A1
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WIPO (PCT)
Prior art keywords
biometric
verification
mode
recognition mode
parameter
Prior art date
Application number
PCT/CN2018/091871
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English (en)
French (fr)
Inventor
周意保
张海平
Original Assignee
Oppo广东移动通信有限公司
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.)
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Application filed by Oppo广东移动通信有限公司 filed Critical Oppo广东移动通信有限公司
Priority to EP18837751.9A priority Critical patent/EP3627365B1/en
Publication of WO2019019836A1 publication Critical patent/WO2019019836A1/zh
Priority to US16/717,993 priority patent/US20200117787A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/26—Power supply means, e.g. regulation thereof
    • G06F1/32—Means for saving power
    • G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
    • G06F1/3234—Power saving characterised by the action undertaken
    • G06F1/3287—Power saving characterised by the action undertaken by switching off individual functional units in the computer system
    • 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
    • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/16—Constructional details or arrangements
    • G06F1/1613—Constructional details or arrangements for portable computers
    • G06F1/1633—Constructional details or arrangements of portable computers not specific to the type of enclosures covered by groups G06F1/1615 - G06F1/1626
    • G06F1/1684—Constructional details or arrangements related to integrated I/O peripherals not covered by groups G06F1/1635 - G06F1/1675
    • 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
    • G06F21/40—User authentication by quorum, i.e. whereby two or more security principals are required
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
    • H04M1/72454—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
    • H04M1/72463—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions to restrict the functionality of the device
    • H04M1/724631—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions to restrict the functionality of the device by limiting the access to the user interface, e.g. locking a touch-screen or a keypad
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management

Definitions

  • the present application relates to the field of mobile terminal technologies, and in particular, to an unlock control method and related products.
  • the biometric identification method includes a fingerprint identification method, an iris recognition method, a scleral recognition method, a face recognition method, a voiceprint recognition method, and a vein recognition method.
  • an embodiment of the present application provides an unlocking control method, including:
  • S biometric authentication information is collected by the target biometric collection module corresponding to the target multi-biometric recognition mode, and is unlocked when the S biometric verification information is successfully verified, and the S is an integer greater than or equal to 1.
  • an embodiment of the present application provides a mobile terminal, including a processor, an environment sensor connected to the processor, a target biological information collection module corresponding to a target multiple biometric mode, and a memory, where:
  • the environment sensor is configured to acquire an environmental parameter of the mobile terminal
  • the memory is configured to store M multi-biometric modes, where M is an integer greater than one;
  • the processor is configured to acquire a scene parameter of the mobile terminal, and select a target multi-biometric recognition mode corresponding to the scene parameter and the environment parameter from the M multi-biometric recognition modes;
  • the target biometric information collecting module is configured to collect S biometric verification information, where the S is an integer greater than or equal to 1;
  • the processor is further configured to perform unlocking when the verification of the S biometric information is successful.
  • an unlocking control apparatus including:
  • An obtaining unit configured to acquire a scene parameter and an environment parameter of the mobile terminal
  • a selecting unit configured to select a target multi-biometric recognition mode corresponding to the scene parameter and the environment parameter from the pre-stored M multi-biological recognition modes, where the M is an integer greater than 1;
  • An acquisition unit configured to collect S biometric verification information, where S is an integer greater than or equal to 1;
  • an unlocking unit configured to perform unlocking when the verification of the S biometric information is successful.
  • an embodiment of the present application provides another mobile terminal, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the foregoing memory, and are configured by Executed by the processor described above, the program includes instructions for some or all of the steps as described in the first aspect.
  • the embodiment of the present application provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, wherein the computer program causes the computer to execute as in the first aspect of the embodiment of the present application.
  • an embodiment of the present application provides a computer program product, where the computer program product includes a non-transitory computer readable storage medium storing a computer program, the computer program being operative to cause a computer to execute Apply some or all of the steps described in the first aspect of the embodiment.
  • the computer program product can be a software installation package.
  • FIG. 1 is a schematic structural diagram of a mobile terminal according to an embodiment of the present application.
  • FIG. 2 is a schematic flowchart diagram of an unlocking control method according to an embodiment of the present disclosure
  • FIG. 3 is a schematic structural diagram of an unlocking control apparatus according to an embodiment of the present disclosure.
  • FIG. 4 is a schematic structural diagram of another mobile terminal according to an embodiment of the present disclosure.
  • references to "an embodiment” herein mean that a particular feature, structure, or characteristic described in connection with the embodiments can be included in at least one embodiment of the present application.
  • the appearances of the phrases in various places in the specification are not necessarily referring to the same embodiments, and are not exclusive or alternative embodiments that are mutually exclusive. Those skilled in the art will understand and implicitly understand that the embodiments described herein can be combined with other embodiments.
  • the mobile terminal involved in the embodiments of the present application may include various handheld devices having wireless communication functions, in-vehicle devices, wearable devices, computing devices, or other processing devices connected to the wireless modem, and various forms of user devices (User Equipment, UE), mobile station (MS), terminal device, and the like.
  • user devices User Equipment, UE
  • MS mobile station
  • terminal device and the like.
  • the devices mentioned above are collectively referred to as mobile terminals.
  • the embodiments of the present application are described in detail below.
  • the embodiment of the present application provides an unlocking control method and related products, which are used to solve the problem that the mobile terminal invokes all the biological information collecting devices provided on the mobile terminal to respond to the unlocking operation when performing any unlocking operation, resulting in consumption.
  • the mobile terminal described in the embodiment of the present application is provided with a biological information collecting device, and the biological information collecting device specifically includes at least a fingerprint information collecting module, an iris information collecting module, and a facial information collecting module, and may further include a sound information collecting module and a vein information collecting device. Module and scleral information acquisition module and more.
  • the fingerprint information collecting module may be a fingerprint sensor module
  • the iris information collecting module may include an infrared light source and an infrared camera
  • the facial information collecting module may be a universal camera module, such as a front camera.
  • FIG. 1 is a schematic structural diagram of a mobile terminal 100 according to an embodiment of the present application.
  • the mobile terminal 100 includes a housing 11 , a touch display screen 12 , a main board 13 , a battery 14 , and a sub board 15 .
  • the 13 is provided with an infrared light source 21, an infrared camera 22, a front camera 23, a processor 110, a memory 120, an environmental sensor 130, a subscriber identity module (SIM) card slot 16, etc., and a sub-board 15 is provided with a vibrator 25, an integrated sound chamber 26, a VOOC flash charging interface 27 and a fingerprint sensor module 24, wherein the infrared light source 21 and the infrared camera 22 constitute an iris information collecting module of the mobile terminal 100, and the front camera 23 constitutes a face of the mobile terminal 100
  • the information collection module, the fingerprint sensor module 24 constitutes a fingerprint information collection module of the mobile terminal 100, and the biological information collection device of the mobile terminal 100 includes the iris information collection module, the face information collection module, and the fingerprint information collection module, etc. Make a limit.
  • the biological information collecting device is an iris information collecting module
  • the infrared light source 21 is configured to emit infrared light to illuminate the iris of the user to form reflected light
  • the infrared camera 22 is configured to collect the reflected light to form an iris image
  • the processor 110 acquires the iris image
  • the iris image quality evaluation, the iris region localization (including coarse positioning and fine positioning), the iris pretreatment, the iris feature point extraction, and the iris template generation process are performed on the iris image, and the generated iris template is the above biological information.
  • the environment sensor 130 is configured to acquire an environmental parameter of the mobile terminal 100.
  • the environment parameter may include at least one of the following: light intensity, temperature, humidity, electromagnetic interference, geographic location, distance between the mobile terminal 100 and the user, etc., and the specific environmental parameters are not limited in the embodiment of the present application, and different The environmental parameters also differ in the performance parameters required for the biological information collection device.
  • the facial information collecting module has higher requirements on the light intensity, and the higher the pixel of the camera, the higher the recognition accuracy; the humidity of the finger has an influence on the fingerprint identification image collected by the fingerprint information collecting module.
  • the memory 120 is configured to store M multi-biometric modes, where M is an integer greater than 1.
  • M kinds of multi-biometric recognition modes can be obtained by arranging and combining the biometric information collection devices included in the mobile terminal 100.
  • the iris information collection module, the face information collection module, and the fingerprint information collection module may include four kinds of multiple biometric modes in addition to the iris recognition mode, the face recognition mode, and the fingerprint recognition mode when the order is not involved; It can include 12 multiple biometric modes.
  • the processor 110 is configured to acquire a scene parameter of the mobile terminal 100, and select a target corresponding to the scene parameter and the environment parameter from the M multi-biometric recognition modes. Biometric mode.
  • the processor 110 acquires a scene parameter according to the page information currently applied by the mobile terminal 100 or the application invoked in the background, thereby identifying the current application scenario of the mobile terminal 100.
  • the scenario parameters may include at least one of the following: an application type, an occupied network speed, a transmission data, and a data type.
  • the application scenario corresponding to the scenario parameter may be a screen unlocking, and may also be an unlocking operation such as a payment unlocking and a login unlocking.
  • the embodiment of the present application does not limit the specific scenario parameters.
  • the mobile terminal 100 can obtain a state transition from a black screen state to a lighting state, the touch display screen 12 detects a touch operation for the fingerprint sensor module 24, and determines that the application scenario is a screen unlocking operation; the mobile terminal 100 detects Entering the sweeping function or paying function page determines that the application scenario is a payment unlocking operation; when the mobile terminal 100 detects the entry of the application launching page, it determines that the application scenario is a login unlocking operation.
  • the performance parameters may include verification time, matching degree, power consumption, and the like.
  • the unlocked application scenario is biased toward a faster verification time, and the applied application scenario has a higher degree of matching.
  • the target multi-biometric mode may be a combination of multiple biometric modes, or may be a single biometric mode.
  • the target multi-biometric mode when the light intensity is lower than a preset threshold, the target multi-biometric mode includes a fingerprint recognition mode, and does not include a light recognition-based biometric mode such as an iris recognition mode or a face recognition mode; when the payment amount exceeds the preset
  • the target multi-biometric module may include a biometric method with a high security level such as an iris recognition mode, and does not include a fingerprint recognition mode.
  • the memory 120 is further configured to store a history verification record; and the processor 110 selects a target corresponding to the scene parameter and the environment parameter from the M multi-biological recognition modes.
  • the processor 110 is specifically configured to: obtain, from the historical verification record, a verification record corresponding to the scene parameter and the environment parameter, to obtain L verification records; according to the L verifications Recording the target multi-biometric recognition mode from the M multi-biological recognition modes.
  • L is an integer greater than 1
  • the historical verification record includes a verification time of each verification, a matching degree with the biometric information, a power consumption of the biometric information collection device, and the like
  • the performance parameter of the embodiment of the present application is mathematical. Expressions are not limited and can be decimal or percentage.
  • the performance parameter in the verification record corresponding to the scene parameter and the environment parameter found in the historical verification record is analyzed, and the biological verification information can be collected by the target biological information collection module corresponding to the target multi-biometric recognition mode, instead of calling all the movements.
  • the biometric information collection device on the terminal 100 performs acquisition, thereby saving power consumption of the mobile terminal 100 and improving the overall endurance capability of the mobile terminal 100.
  • the memory 120 is further configured to store performance parameters included in each verification record in the historical verification record and preset performance parameter weights corresponding to each performance parameter;
  • the L verification records select the target multi-biometric recognition mode from the M multi-biometric recognition modes, and the processor is specifically configured to: perform performance parameters included in each verification record according to the L verification records
  • the preset performance parameter weight corresponding to each performance parameter acquires an evaluation value corresponding to each multi-biometric mode in the M multi-biometric recognition mode, and obtains M evaluation values; and selects the largest evaluation among the M evaluation values.
  • the multi-biometric recognition mode corresponding to the value is used as the target multi-biometric recognition mode.
  • the evaluation value is equal to the performance parameter multiplied by the corresponding preset performance weight, and the weight of ownership is equal to 1.
  • the evaluation value is L can be:
  • b1, b2, and b3 represent the values of the verification time, the matching degree, and the power consumption, respectively.
  • the specific performance parameters and preset performance weights are not limited in this embodiment.
  • the mobile terminal 100 includes three first multi-recognition modes, a second multi-recognition mode, and a third multi-recognition mode, wherein the first multi-recognition mode includes a fingerprint recognition mode and an iris recognition mode,
  • the second multi-recognition mode includes a fingerprint recognition mode, a face recognition mode, and an iris recognition mode
  • the third multi-recognition mode includes a face recognition mode and an iris recognition mode
  • the application scenario corresponding to the scene parameter is payment unlocking, and the environment parameter is weak light
  • the performance parameter is the verification time, the matching degree and the power consumption, the preset performance parameter weight of the verification time is 0.6, the preset performance parameter of the matching degree is 0.6, and the preset performance of the power consumption
  • the parameter weight is -0.2.
  • Table 1 shows the corresponding performance parameters of the three verification records and the three multi-biometric modes.
  • the evaluation values corresponding to the first verification record are respectively obtained as 0.5, 0.37, and 0.36; and the evaluation value corresponding to the second verification record is 0.412. , 0.468, 0.308; the evaluation value corresponding to the third verification record is 0.624, 0.5, 0.428, and the average value of the evaluation values of each mode is calculated to obtain the evaluation value of the first multi-recognition mode of 0.512, and the second multi-recognition mode
  • the evaluation value is 0.479 and the evaluation value of the third multi-recognition mode is 0.365
  • the first multi-recognition mode is selected as the target multi-recognition recognition mode.
  • the evaluation value corresponding to each multi-biometric mode is determined according to the performance parameter and the preset performance parameter weight included in each verification record, and then the target multi-biometric recognition mode is selected according to the size of the evaluation value, thereby improving the target multi-biometric recognition.
  • the processor 110 obtains a verification record corresponding to the scene parameter and the environment parameter from the historical verification record, and obtains L verification records.
  • the processor 110 is specifically configured to: Obtaining N kinds of biometric recognition modes according to the scene parameter and the environment parameter; acquiring R multi-biometric recognition modes formed by the N kinds of bio-recognition modes from the M multi-biometric recognition modes; Obtaining the L verification records corresponding to the R multi-biometric recognition mode.
  • N is an integer greater than 1
  • R is a positive integer less than M. That is, the N types of biometric modes corresponding to the scene parameters and the environment parameters are selected from the biometric recognition modes corresponding to the biometric information collection device provided by the mobile terminal 100, and the historical verification corresponding to the N kinds of biometric recognition modes is obtained. Recording, and reducing the computing load of the mobile terminal 100, thereby improving the endurance of the whole machine.
  • the N types of biometric modes may include a fingerprint recognition mode, and do not include a light recognition-based biometric mode such as an iris recognition mode or a face recognition mode; when the payment amount exceeds a preset threshold
  • the N biometric modes may include a biometric method with a high security level such as an iris recognition mode, and does not include a fingerprint recognition mode.
  • the biological information collecting module corresponding to the target multiple biometric mode is a target biological information collecting module, and the target biological information collecting module is configured to collect S biometric information; the processor 110 is further configured to The S biometric authentication information is unlocked when the verification is successful.
  • S is an integer greater than or equal to 1, since the target multi-biometric mode includes at least one biometric mode, and the corresponding target bio-information acquisition module includes at least one bio-information acquisition module, then the target bio-information acquisition module
  • Each biometric information collection module can collect a biometric verification information to obtain S biometric verification information.
  • the environment sensor 130 acquires the environment parameter of the mobile terminal 100
  • the processor 110 acquires the scene parameter of the mobile terminal 100, and selects the scene parameter from the M multi-biological recognition modes pre-stored by the memory 120.
  • the target multi-biometric recognition mode corresponding to the environmental parameter collects S biometric information through the target biometric information collection module corresponding to the target multi-biometric mode, instead of calling all the biometric information collection devices provided on the mobile terminal 100, thereby The power consumption of the mobile terminal 100 is saved, and the overall battery life of the mobile terminal 100 is improved.
  • the biometric verification information is collected based on the environmental parameters and the scene parameters of the mobile terminal 100, and is unlocked when the S biometric verification information is successfully verified, thereby improving the success rate and security of the unlocking.
  • the processor 110 is further configured to: when there is one verification verification failed biometric verification information in the S biometric verification information, in addition to the target multiple from the M multi-biometric recognition modes An alternative multi-biometric mode is selected from the M-1 multi-biological recognition modes other than the biometric mode.
  • the processor 110 may extract M-1 multi-biological recognition modes from the M multi-biometric modes in addition to the target multi-biometric recognition mode.
  • the biometric information collection module may be selected by the alternative bio-information acquisition module corresponding to the alternative multi-biometric recognition mode, instead of the target bio-information acquisition module corresponding to the original target multi-biometric recognition mode. Verification information increases the convenience and flexibility of the operation.
  • the candidate biometric information acquisition module is selected for the biological activity. Information collection to improve the efficiency of verification.
  • the candidate multi-biometric mode is a multi-biometric mode other than the target multi-biometric mode in the M multi-biometric mode, which may be a user-specified one for the acquisition failure or
  • the multi-biometric mode for verifying failure may also be a biometric mode selected or deleted by the processor 110, a biometric mode included in the target information collecting device, a multi-biometric mode selected by the acquisition failure or the verification failure, and the like.
  • the processor 110 is specifically configured to select an candidate multiple biometric mode from among the M-1 multi-biometric modes except the target multi-biometric mode in the M multi-biometric mode.
  • the M multi-biological recognition mode in the M-1 multi-biological recognition modules other than the target multi-biometric recognition mode, a multi-biological recognition mode that does not include the reference bio-recognition mode corresponding to the bio-verification information of the verification failure is obtained, and K multi-organisms are obtained.
  • the recognition mode is selected from the K multi-biological recognition modes as the alternative multi-biometric recognition mode corresponding to the scene parameters and the environmental parameters.
  • K is a positive integer less than or equal to M-1.
  • the mobile terminal 100 includes three first multi-recognition modes, a second multi-recognition mode, and a third multi-recognition mode, wherein the first multi-recognition mode includes a fingerprint recognition mode and an iris recognition mode,
  • the second multi-recognition mode includes a fingerprint recognition mode, a face recognition mode, and an iris recognition mode
  • the third multi-recognition mode includes a face recognition mode and an iris recognition mode
  • the application scenario corresponding to the scene parameter is payment unlocking, and the environmental parameter is weak light, and the first is selected.
  • the multi-recognition mode is used as the target multi-generation recognition mode.
  • the biometric verification information collected by the fingerprint collection module corresponding to the first multi-recognition mode does not match the preset biometric verification information
  • the reference biometric mode is the fingerprint recognition mode
  • the remaining 2 multi-organisms are In the recognition mode
  • a multi-biometric recognition mode that does not include the reference bio-recognition mode is selected as the alternative multi-biometric recognition mode, and only the third multi-recognition mode satisfies the above condition, that is, the third multi-recognition mode is selected as the alternative multi-biometric recognition mode.
  • the processor 110 is further configured to receive the closed biometric mode command, and select, from the remaining M-1 multiple biometric modes, the biometric mode included in the command to close the specified biometric mode, to obtain Q
  • the multi-biometric recognition mode is obtained by the processor 110, and the multi-biometric recognition mode corresponding to the maximum evaluation value among the Q evaluation values is selected as the candidate multi-biometric recognition mode.
  • selecting from the remaining M-1 multi-biometric recognition modes does not include closing the Q multi-biometric recognition modes corresponding to the specified bio-recognition mode command, and determining the preparation according to the Q evaluation values corresponding to the Q multi-biometric recognition modes. Multiple biometric modes are selected to improve the accuracy of determining alternative multi-biometric modes.
  • the mobile terminal 100 includes three first multi-recognition modes, a second multi-recognition mode, and a third multi-recognition mode, wherein the first multi-recognition mode includes a fingerprint recognition mode and an iris recognition mode,
  • the second multi-recognition mode includes a fingerprint recognition mode, a face recognition mode, and an iris recognition mode
  • the third multi-recognition mode includes a face recognition mode and an iris recognition mode
  • the application scenario corresponding to the scene parameter is payment unlocking, and the environmental parameter is weak light, and the first is selected.
  • the multi-recognition mode is used as the target multi-generation recognition mode.
  • a multi-biometric recognition mode that does not include a fingerprint recognition mode is selected as an alternative multi-biometric recognition mode, that is, biometrics are collected through the third multi-recognition mode.
  • the memory 120 is further configured to store a verification threshold; the processor 110 is further configured to: when the S biometric information exists, at least one biometric verification information that fails verification and at least one biometric verification information that is successfully verified. And acquiring, by the at least one verification target, the target safety factor corresponding to the biometric verification information; when the target safety factor is greater than the verification threshold, determining that the S biometric verification information is successfully verified.
  • the processor 110 is configured to acquire, in the biometric verification information that the at least one verification succeeds, in the target security factor corresponding to the at least one verification successful biometric verification information.
  • At least one reference biometric mode corresponding to the biometric information; obtaining an unlock success rate between each of the at least one reference biometric mode and the scenario parameter and the environment parameter, to obtain a plurality of unlock success rates;
  • the plurality of unlocking success rates acquire the target safety factor.
  • the reference biometric mode is a biometric identification mode in which the biometric verification information collected by the biometric collection module corresponding to the target multi-biometric recognition mode is successfully verified.
  • the unlocking success rate can obtain the verification record corresponding to the scene parameter and the environment parameter, that is, L verification records, and then obtain the number of unlocking success times corresponding to the reference biological mode according to the L verification records, and determine the unlock success rate by the number of successful unlockings.
  • the target security factor may be the sum of the multiple unlocking success rates or the average of the multiple unlocking success rates, which is not limited herein.
  • the at least one reference biological mode of the unlocking verification is first determined, and then the unlocking success rate corresponding to each reference biological mode in the at least one reference biological mode is determined under the current environmental parameter and the environmental parameter, and then the target is acquired according to the multiple unlocking success rates.
  • Safety factor In this way, it can be determined that the current environmental parameter and the environmental parameter refer to the unlocking success rate corresponding to the biological mode, so as to improve the accuracy of determining whether the target safety factor satisfies the preset condition.
  • the verification threshold is used to determine whether the S biometric information is successfully verified.
  • the verification threshold is used to determine whether the S biometric information is successfully verified.
  • at least one target safety factor corresponding to the biometric verification information that is successfully verified is obtained, and when the target safety factor is greater than the verification threshold, the S is determined.
  • the verification of the biometric verification information is successful.
  • the alternative multi-biometric recognition mode can be selected to perform bio-information acquisition again, thereby improving the flexibility of unlocking and the convenience of operation.
  • FIG. 2 is a schematic flowchart of a method for unlocking control according to an embodiment of the present application. The method is applied to the mobile terminal as described in FIG.
  • M is an integer greater than one.
  • the verification records corresponding to the scene parameters and the environment parameters are obtained from the historical verification record, and L verification records are obtained; and the M multiple biometric recognition modes are obtained according to the L verification records.
  • the target multi-biometric mode is selected.
  • L is an integer greater than 1
  • the historical verification record includes a verification time of each verification, a matching degree with the biometric information, a power consumption of the biometric information collection device, and the like
  • the performance parameter of the embodiment of the present application is mathematical. Expressions are not limited and can be decimal or percentage.
  • the performance parameter in the verification record corresponding to the scene parameter and the environment parameter found in the historical verification record is analyzed, and the biological verification information can be collected by the target biological information collection module corresponding to the target multi-biometric recognition mode, instead of calling all the movements.
  • the biological information collection device on the terminal performs acquisition, thereby saving power consumption of the mobile terminal and improving the overall battery life of the mobile terminal.
  • the selecting the target multi-biometric recognition mode from the M multi-biometric recognition modes according to the L verification records comprises: including, according to each verification record in the L verification records
  • the performance parameter and the preset performance parameter weight corresponding to each performance parameter acquire an evaluation value corresponding to each of the plurality of biometric recognition modes, and obtain M evaluation values; and select the M evaluation values.
  • the multi-biometric recognition mode corresponding to the maximum evaluation value is used as the target multi-biological recognition mode.
  • the evaluation value is equal to the performance parameter multiplied by the corresponding preset performance weight, and the weight of ownership is equal to 1.
  • the evaluation value corresponding to each multi-biometric mode is determined according to the performance parameter and the preset performance parameter weight included in each verification record, and then the target multi-biometric recognition mode is selected according to the size of the evaluation value, thereby improving the target multi-biometric recognition.
  • the obtaining the verification record corresponding to the scene parameter and the environment parameter from the historical verification record, and obtaining the L verification records includes: acquiring N according to the scene parameter and the environment parameter. a biometric recognition mode, wherein the N is an integer greater than 1; and the R multi-biometric recognition mode consisting of the N bio-recognition modes is obtained from the M multi-biometric recognition modes, and the R is smaller than the M a positive integer; the L verification records corresponding to the R multi-biometric recognition mode are obtained from the historical verification record.
  • N is an integer greater than 1
  • R is a positive integer less than M. That is to say, firstly, N kinds of biometric recognition modes corresponding to the scene parameters and the environmental parameters are selected from the biometric identification modes corresponding to the biometric information collection device provided by the mobile terminal, and the historical verification records corresponding to the N kinds of biometric recognition modes are acquired. , and reduce the computing load of the mobile terminal, thereby improving the endurance of the whole machine.
  • S is an integer greater than or equal to 1.
  • the method further includes: when there is at least one verification-failed biometric verification information in the S biometric verification information, in addition to the target multi-biometric recognition mode, in the M multi-biometric recognition modes An alternative multi-biometric mode is selected in the M-1 multi-biological recognition mode.
  • the processor may select from the M-1 multi-biometric recognition modes other than the target multi-biometric recognition mode among the M multi-biometric recognition modes. Selecting the alternative multi-biometric recognition mode, the biometric information collection may be performed by the alternative bio-information acquisition module corresponding to the alternative multi-biometric recognition mode, instead of the biometric verification by the target bio-information acquisition module corresponding to the original target multi-biometric recognition mode. Information that improves the convenience and flexibility of the operation.
  • the selecting the candidate multi-biometric recognition mode from the M-1 multi-biometric recognition modes other than the target multi-biometric recognition mode in the M multi-biometric recognition modes comprises: In the M multi-biometric recognition mode, a multi-biological recognition mode corresponding to the biometric verification information that does not include the verification failure is selected from the M-1 multi-biometric recognition modes other than the target multi-biometric recognition mode, and K multi-biological creatures are obtained. Identifying a mode; selecting, from the K plurality of biometric recognition modes, a multi-biometric recognition mode corresponding to the scene parameter and the environmental parameter as the candidate multi-biometric recognition mode.
  • K is a positive integer less than or equal to M-1.
  • the method further includes: receiving a closed biometric mode instruction; selecting, from the remaining M-1 multiple biometric modes, not including the biometric mode included in the command to close the specified biometric mode, and obtaining Q
  • the multi-biometric recognition mode is obtained by acquiring Q evaluation values corresponding to the Q multi-biometric recognition modes, and the multi-biometric recognition mode corresponding to the maximum evaluation value among the Q evaluation values is selected as the alternative multi-biometric recognition mode.
  • selecting from the remaining M-1 multi-biometric recognition modes does not include closing the Q multi-biometric recognition modes corresponding to the specified bio-recognition mode command, and determining the preparation according to the Q evaluation values corresponding to the Q multi-biometric recognition modes. Multiple biometric modes are selected to improve the accuracy of determining alternative multi-biometric modes.
  • the method further includes: when there is at least one biometric verification information that fails verification and at least one biometric verification information that is successfully verified, the at least one biometric verification information that is successfully verified is obtained.
  • Corresponding target safety factor when the target safety factor is greater than the verification threshold, determining that the S biometric verification information is successfully verified.
  • the alternative multi-biometric mode can be selected to perform bio-information acquisition again, thereby improving the flexibility of unlocking and the convenience of operation.
  • the obtaining the target security factor corresponding to the biometric verification information of the at least one verification success comprises: acquiring at least one reference biological mode corresponding to each biometric verification information in the biometric verification information of the at least one verification success Obtaining an unlocking success rate between each of the at least one reference biological mode and the scene parameter and the environment parameter, to obtain a plurality of unlocking success rates; acquiring the according to the multiple unlocking success rates Target safety factor.
  • the at least one reference biological mode of the unlocking verification is first determined, and then the unlocking success rate corresponding to each reference biological mode in the at least one reference biological mode is determined under the current environmental parameter and the environmental parameter, and then the target is acquired according to the multiple unlocking success rates.
  • Safety factor In this way, it can be determined that the current environmental parameter and the environmental parameter refer to the unlocking success rate corresponding to the biological mode, so as to improve the accuracy of determining whether the target safety factor satisfies the preset condition.
  • the scene parameter and the environment parameter of the mobile terminal are acquired, and the target multi-biometric recognition mode corresponding to the scene parameter and the environmental parameter is selected from the pre-stored M multi-biological recognition modes, and then
  • the target biological information collection module corresponding to the target multiple biometric mode collects S biometric information, instead of calling all the biometric information collection devices provided on the mobile terminal, thereby saving power consumption of the mobile terminal and improving the overallity of the mobile terminal. Endurance.
  • the biometric verification information is collected based on the environmental parameters and the scene parameters of the mobile terminal, and is unlocked when the S biometric verification information is successfully verified, thereby improving the success rate and security of the unlocking.
  • FIG. 3 is another unlocking control device according to an embodiment of the present disclosure.
  • the unlocking control device 300 includes:
  • the obtaining unit 301 is configured to acquire a scene parameter and an environment parameter of the mobile terminal.
  • the selecting unit 302 is configured to select a target multi-biometric recognition mode corresponding to the scene parameter and the environment parameter from the pre-stored M multi-biological recognition modes, where the M is an integer greater than 1.
  • the collecting unit 303 is configured to collect S biometric information, where the S is an integer greater than or equal to 1.
  • the unlocking unit 304 is configured to perform unlocking when the S biometric verification information is successfully verified.
  • the acquiring unit 301 further uses the target multiple biometric mode corresponding to the scene parameter and the environment parameter from the pre-stored M multi-biometric recognition modes.
  • the verification record selects the target multi-biometric recognition mode from the M multi-biological recognition modes.
  • the obtaining unit 301 is further configured to use, according to the L verification records, the target multi-biometric recognition mode from the M multi-biometric recognition modes. Obtaining evaluation values corresponding to each of the plurality of biometric recognition modes in the M multi-biometric recognition modes, and obtaining M evaluations, the performance parameters included in each verification record and the preset performance parameter weights corresponding to each performance parameter.
  • the selection unit 302 is specifically configured to select a multi-biometric recognition mode corresponding to the maximum evaluation value among the M evaluation values as the target multi-biometric recognition mode.
  • the verification record corresponding to the scene parameter and the environment parameter is obtained from the historical verification record, and the L verification records are obtained, and the obtaining unit 301 is specifically configured to use the Obtaining N kinds of biometric modes by using the scene parameter and the environment parameter, wherein the N is an integer greater than 1; and obtaining the R multi-biological recognition mode formed by the N kinds of bio-recognition modes from the M multi-biometric recognition modes And the R is a positive integer smaller than the M; and the L verification records corresponding to the R multi-biometric recognition mode are obtained from the historical verification record.
  • the selecting unit 302 is further configured to: when there is at least one biometric verification information that fails verification in the S biometric verification information, in addition to the M multi-biometric recognition mode An alternative multi-biometric recognition mode is selected from the M-1 multi-biological recognition modes other than the target multi-biometric recognition mode.
  • selecting the candidate multi-biometric mode from the M-1 multi-biometric modes other than the target multi-biometric mode from the M multi-biometric modes is specifically configured to select biometric verification information that does not include the verification failure from the M-1 multi-biometric recognition modes other than the target multi-biometric recognition mode in the M multi-biometric recognition modes.
  • Corresponding multi-biometric recognition mode obtaining K multi-biometric recognition mode, wherein K is a positive integer smaller than the M-1; selecting the scene parameter and the environmental parameter from the K multi-biometric recognition mode A corresponding multi-biometric mode is used as the alternative multi-biometric mode.
  • the acquiring unit 301 is further configured to: when the biometric verification information of the verification failure and the at least one biometric verification information that is successfully verified are present in the S biometric verification information, obtain the at least A target safety factor corresponding to the verification of the successful biometric information; the apparatus 300 further includes:
  • the determining unit 305 is configured to determine that the S biometric verification information is successfully verified when the target safety factor is greater than a verification threshold.
  • the acquiring unit 301 is specifically configured to acquire the at least one biometric verification information that is successfully verified, in terms of acquiring the target security factor corresponding to the at least one verification successful biometric verification information. Obtaining at least one reference biometric mode corresponding to each biometric information; acquiring an unlock success rate between each reference biometric mode in the at least one reference biometric mode and the scenario parameter and the environmental parameter, to obtain multiple unlocking success rates And acquiring the target safety factor according to the multiple unlocking success rates.
  • the unlocking control device shown in FIG. 3 acquires a scene parameter and an environment parameter of the mobile terminal, and selects a target multi-biometric recognition mode corresponding to the scene parameter and the environmental parameter from the pre-stored M multi-biological recognition modes, and then
  • the target biological information collection module corresponding to the target multiple biometric mode collects S biometric information, instead of calling all the biometric information collection devices provided on the mobile terminal, thereby saving power consumption of the mobile terminal and improving the overallity of the mobile terminal. Endurance.
  • the biometric verification information is collected based on the environmental parameters and the scene parameters of the mobile terminal, and is unlocked when the S biometric verification information is successfully verified, thereby improving the success rate and security of the unlocking.
  • FIG. 4 is a schematic structural diagram of a mobile terminal according to an embodiment of the present disclosure.
  • the mobile terminal 600 includes a processor. 610.
  • Memory 620 Memory 620, communication interface 630, and one or more programs 640, wherein the one or more programs 640 are stored in the memory 620 and configured to be executed by the processor 610, the program 640 including Instructions for the following steps:
  • S biometric authentication information is collected by the target biometric collection module corresponding to the target multi-biometric recognition mode, and is unlocked when the S biometric verification information is successfully verified, and the S is an integer greater than or equal to 1.
  • the scene parameter and the environment parameter of the mobile terminal are obtained, and the target multi-biometric recognition mode corresponding to the scene parameter and the environment parameter is selected from the pre-stored M multi-biological recognition modes, and the target and the target are obtained.
  • the target biometric information collection module corresponding to the multi-biometric recognition mode collects S biometric verification information instead of calling all the biometric information collection devices provided on the mobile terminal, thereby saving power consumption of the mobile terminal and improving the overall operation of the mobile terminal. Endurance ability.
  • the biometric verification information is collected based on the environmental parameters and the scene parameters of the mobile terminal, and is unlocked when the S biometric verification information is successfully verified, thereby improving the success rate and security of the unlocking.
  • the program 640 is specifically configured to perform the following Instructions for the steps:
  • the program 640 is specifically configured to execute an instruction of the following steps in selecting the target multiple biometric mode from the M multi-biological recognition modes according to the L verification records:
  • a multi-biometric recognition mode corresponding to the largest evaluation value among the M evaluation values is selected as the target multi-biometric recognition mode.
  • the verification record corresponding to the scene parameter and the environment parameter is obtained from the historical verification record, and the L verification records are obtained, and the program 640 is specifically used to execute the following steps. :
  • N is an integer greater than 1;
  • the R multi-biometric recognition mode formed by the N bio-recognition modes, where R is a positive integer smaller than the M;
  • the program 640 is also used to execute instructions of the following steps:
  • the candidate multi-biometric recognition mode is selected from the M-1 multi-biometric recognition modes other than the target multi-biometric recognition mode from the M multi-biometric recognition mode.
  • the program 640 is specifically for executing the instructions of the following steps:
  • a multi-biometric recognition mode corresponding to the scene parameter and the environmental parameter is selected from the K multi-biometric recognition mode as the candidate multi-biometric recognition mode.
  • the program 640 is also used to execute instructions of the following steps:
  • the program 640 is specifically configured to execute an instruction of the following steps in terms of acquiring the target safety factor corresponding to the biometric verification information of the at least one verification success:
  • the embodiment of the present application further provides a computer storage medium, wherein the computer storage medium is stored for storing a computer program, the computer program causing the computer to perform some or all of the steps of any of the methods described in the foregoing method embodiments,
  • the computer includes a mobile terminal.
  • the embodiment of the present application further provides a computer program product, comprising: a non-transitory computer readable storage medium storing a computer program, the computer program being operative to cause a computer to perform the operations as recited in the foregoing method embodiments Part or all of the steps of either method.
  • the computer program product can be a software installation package, the computer comprising a mobile terminal.
  • the disclosed apparatus may be implemented in other ways.
  • the device embodiments described above are merely illustrative.
  • the division of the unit is only a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or may be Integrate into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be electrical or otherwise.
  • 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, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • the integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable memory.
  • a computer readable memory A number of instructions are included to cause a computer device (which may be a personal computer, server or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present application.
  • the foregoing memory includes: a U disk, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk, or an optical disk, and the like, which can store program codes.

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Abstract

本申请实施例公开了一种解锁控制方法及相关产品，其中方法包括：获取移动终端的场景参数；获取所述移动终端的环境参数；从预先存储的M种多生物识别模式中选取与所述场景参数和所述环境参数对应的目标多生物识别模式；通过与所述目标多生物识别模式对应的目标生物信息采集模块采集S个生物验证信息，并在所述S个生物验证信息验证成功时进行解锁。采用本申请，可提高移动终端的整机续航能力和采集生物信息的准确性。

Description

解锁控制方法及相关产品
本申请要求于2017年7月28日提交中国专利局、申请号为201710631589.9、发明名称为“解锁控制方法及相关产品”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及移动终端技术领域，尤其涉及一种解锁控制方法以及相关产品。
背景技术
随着移动终端技术的不断发展，手机、计算机、平板等移动终端的使用越来越普及，且采用生物识别方法执行解锁操作。其中，生物识别方法包括指纹识别方法、虹膜识别方法、巩膜识别方法、人脸识别方法、声纹识别方法、静脉识别方法等。
申请内容
第一方面，本申请实施例提供一种解锁控制方法，包括：
获取移动终端的场景参数；
获取所述移动终端的环境参数；
从预先存储的M种多生物识别模式中选取与所述场景参数和所述环境参数对应的目标多生物识别模式，所述M为大于1的整数；
通过与所述目标多生物识别模式对应的目标生物采集模块采集S个生物验证信息，并在所述S个生物验证信息验证成功时进行解锁，所述S为大于或等于1的整数。
第二方面，本申请实施例提供一种移动终端，包括处理器、与所述处理器连接的环境传感器、与目标多生物识别模式对应的目标生物信息采集模块和存储器，其中：
所述环境传感器，用于获取所述移动终端的环境参数；
所述存储器，用于存储M种多生物识别模式，所述M为大于1的整数；
所述处理器，用于获取所述移动终端的场景参数；以及从所述M种多生物识别模式中选取与所述场景参数和所述环境参数对应的目标多生物识别模式；
所述目标生物信息采集模块，用于采集S个生物验证信息，所述S为大于或等于1的整数；
所述处理器，还用于在所述S个生物验证信息验证成功时进行解锁。
第三方面，本申请实施例提供一种解锁控制装置，包括：
获取单元，用于获取移动终端的场景参数和环境参数；
选取单元，用于从预先存储的M种多生物识别模式中选取与所述场景参数和所述环境参数对应的目标多生物识别模式，所述M为大于1的整数；
采集单元，用于采集S个生物验证信息，所述S为大于或等于1的整数；
解锁单元，用于在所述S个生物验证信息验证成功时进行解锁。
第四方面，本申请实施例提供了另一种移动终端，包括处理器、存储器、通信接口以及一个或多个程序，其中，上述一个或多个程序被存储在上述存储器中，并且被配置由上述处理器执行，所述程序包括用于如第一方面中所描述的部分或全部步骤的指令。
第五方面，本申请实施例提供了一种计算机可读存储介质，其中，所述计算机可读存储介质存储计算机程序，其中，所述计算机程序使得计算机执行如本申请实施例第一方面中所描述的部分或全部步骤。
第六方面，本申请实施例提供了一种计算机程序产品，其中，所述计算机程序产品包括存储了计算机程序的非瞬时性计算机可读存储介质，所述计算机程序可操作来使计算机执行如本申请实施例第一方面中所描述的部分或全部步骤。该计算机程序产品可以为一个软件安装包。
附图说明
为了更清楚地说明本申请实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
其中：
图1为本申请实施例提供的一种移动终端的结构示意图；
图2为本申请实施例提供的一种解锁控制方法的流程示意图；
图3为本申请实施例提供的一种解锁控制装置的结构示意图；
图4为本申请实施例提供的另一种移动终端的结构示意图。
具体实施方式
为了使本技术领域的人员更好地理解本申请方案，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
本申请的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别不同对象，而不是用于描述特定顺序。此外，术语“包括”和“具有”以及它们任何变形，意图在于覆盖不排他的包括。例如包括了一系列步骤或单元的过程、方法、***、产品或设备没有限定于已列出的步骤或单元，而是可选地还包括没有列出的步骤或单元，或可选地还包括对于这些过程、方法、产品或 设备固有的其他步骤或单元。
在本文中提及“实施例”意味着，结合实施例描述的特定特征、结构或特性可以包括在本申请的至少一个实施例中。在说明书中的各个位置出现该短语并不一定均是指相同的实施例，也不是与其它实施例互斥的独立的或备选的实施例。本领域技术人员显式地和隐式地理解的是，本文所描述的实施例可以与其它实施例相结合。
本申请实施例所涉及到的移动终端可以包括各种具有无线通信功能的手持设备、车载设备、可穿戴设备、计算设备或连接到无线调制解调器的其他处理设备，以及各种形式的用户设备(User Equipment，UE)，移动台(Mobile Station，MS)，终端设备(terminal device)等等。为方便描述，上面提到的设备统称为移动终端。下面对本申请实施例进行详细介绍。
本申请实施例提供了一种解锁控制方法及相关产品，用于解决移动终端在执行任一解锁操作时，均会调用移动终端上配备的所有的生物信息采集装置来响应该解锁操作，导致消耗大量功耗的技术问题。
本申请实施例所描述的移动终端设置有生物信息采集装置，该生物信息采集装置具体至少包括指纹信息采集模块、虹膜信息采集模块和面部信息采集模块，还可包括声音信息采集模块、静脉信息采集模块和巩膜信息采集模块等等。其中，指纹信息采集模块可以是指纹传感器模组、虹膜信息采集模块可以包括红外光源和红外摄像头，面部信息采集模块可以是通用摄像头模组，如前置摄像头。下面结合附图对本申请实施例进行介绍。
请参阅图1，图1是本申请实施例提供了一种移动终端100的结构示意图，上述移动终端100包括：壳体11、触控显示屏12、主板13、电池14和副板15，主板13上设置有红外光源21、红外摄像头22、前置摄像头23、处理器110、存储器120、环境传感器130和客户识别模块(subscriber identity module，SIM)卡槽16等，副板15上设置有振子25、一体音腔26、VOOC闪充接口27和指纹传感器模组24，上述红外光源21和红外摄像头22组成该移动终端100的虹膜信息采集模块，上述前置摄像头23组成该移动终端100的面部信息采集模块，上述指纹传感器模组24组成该移动终端100的指纹信息采集模块，移动终端100的生物信息采集装置包括上述虹膜信息采集模块、面部信息采集模块和指纹信息采集模块等，在此不做限定。
其中，生物信息采集装置为虹膜信息采集模块时，红外光源21用于发射红外光线照射用户的虹膜形成反射光线，红外摄像头22用于采集反射光线形成虹膜图像，处理器110获取该虹膜图像后，针对该虹膜图像执行虹膜图像质量评估、虹膜区域定位(包括粗定位和精定位)、虹膜预处理、虹膜特征点提取、虹膜模板生成等处理过程，生成的虹膜模板即上述生物信息。
基于图1所描述的移动终端100，可执行下述操作：
在本申请实施例中，所述环境传感器130用于获取所述移动终端100的环 境参数。
其中，环境参数可包括以下至少一种：光线强度、温度、湿度、电磁干扰、地理位置、移动终端100与用户之间的距离等，本申请实施例中对于具体的环境参数不作限定，不同的环境参数对于生物信息采集装置所需的性能参数也不同。例如，面部信息采集模块对于光线强度要求较高，且摄像头的像素越高，识别精度越高；手指的湿度对于指纹信息采集模块采集的指纹识别图像有所影响。
在本申请实施例中，所述存储器120用于存储M种多生物识别模式，其中，M为大于1的整数。
通过对该移动终端100包括的生物信息采集装置进行排列组合可得到M种多生物识别模式。例如：虹膜信息采集模块、面部信息采集模块和指纹信息采集模块在不涉及顺序时，除了虹膜识别模式、面部识别模式和指纹识别模式之外，还可包括4种多生物识别模式；在涉及顺序时，可包括12种多生物识别模式。
在本申请实施例中，所述处理器110用于获取所述移动终端100的场景参数；以及从所述M种多生物识别模式中选取与所述场景参数和所述环境参数对应的目标多生物识别模式。
上述处理器110根据移动终端100当前应用的页面信息或后台调用的应用获取场景参数，从而识别出移动终端100当前的应用场景。其中，场景参数可包括以下至少一种：应用类型、占用网速、传输数据和数据类型等。需要说明的是，场景参数对应的应用场景可以是屏幕解锁，还可以是支付解锁和登录解锁等解锁操作，本申请实施例对于具体的场景参数也不作限定。
举例来说，移动终端100可获取从黑屏状态到点亮状态的状态变换，触控显示屏12检测到针对指纹传感器模组24的触摸操作，确定应用场景为屏幕解锁操作；移动终端100检测到进入扫一扫功能或付钱功能页面，确定应用场景为支付解锁操作；当移动终端100检测到进入应用启动页面时，确定应用场景为登录解锁操作。
需要说明的是，不同的场景参数对于生物信息采集装置所需的性能参数不同，其中，性能参数可包括验证时间、匹配度、功耗等等。例如：解锁的应用场景偏重验证时间快、而支付的应用场景偏重匹配度高。
其中，目标多生物识别模式可以是多种生物识别模式的组合，也可以是单独的一种生物识别模式。
举例来说，当光线强度低于预设阈值时，则目标多生物识别模式包括指纹识别模式，而不包括虹膜识别模式、面部识别模式等依赖光线强度的生物识别模式；当支付数量超出预设阈值，且用户的手指上生了茧子时，目标多生物识别模块可包括虹膜识别模式等安全级别高的生物识别方式，而不包括指纹识别模式。
在一个可能的示例中，所述存储器120，还用于存储历史验证记录；在所 述处理器110从所述M种多生物识别模式中选取与所述场景参数和所述环境参数对应的目标多生物识别模式方面，所述处理器110具体用于：从所述历史验证记录中获取与所述场景参数和所述环境参数对应的验证记录，得到L个验证记录；根据所述L个验证记录从所述M种多生物识别模式中选取所述目标多生物识别模式。
其中，L为大于1的整数，历史验证记录中包括每一次验证的验证时间、与生物验证信息的匹配度、生物信息采集装置的功耗等等性能参数，本申请实施例对于性能参数的数学表达式不做限定，可为小数或百分数等。分析从历史验证记录中查找到的与上述场景参数和环境参数对应的验证记录中的性能参数，则可通过目标多生物识别模式对应的目标生物信息采集模块采集生物验证信息，而不是调用所有移动终端100上的生物信息采集装置进行采集，从而节省了移动终端100的功耗，提高了移动终端100的整机续航能力。
在一个可能的示例中，所述存储器120，还用于存储所述历史验证记录中每一验证记录包括的性能参数和每一性能参数对应的预设性能参数权重；在所述处理器根据所述L个验证记录从所述M种多生物识别模式中选取所述目标多生物识别模式方面，所述处理器具体用于：根据所述L个验证记录中每一验证记录包括的性能参数和每一性能参数对应的所述预设性能参数权重获取所述M种多生物识别模式中每一多生物识别模式对应的评价值，得到M个评价值；选取所述M个评价值中最大评价值对应的多生物识别模式作为所述目标多生物识别模式。
其中，对于如何具体计算评价值的计算方法不做限定。可选的，评价值等于性能参数乘以对应的预设性能权重，所有权重相加等于1。当性能参数为验证时间、匹配度和功耗，且验证时间的预设性能参数权重为0.6、匹配度的预设性能参数为0.6、功耗的预设性能参数权重为-0.2时，评价值L可以为：
L＝0.6*b1+0.6*b2-0.2*b3            (1)
式(1)中，b1、b2和b3分别代表验证时间、匹配度和功耗的取值。本申请实施例对于具体的性能参数和预设性能权重均不作限定。
举例来说，假设移动终端100包括第一多识别模式、第二多识别模式和第三多识别模式3种多生物识别模式，其中，第一多识别模式包括指纹识别模式和虹膜识别模式、第二多识别模式包括指纹识别模式、面部识别模式和虹膜识别模式、第三多识别模式包括面部识别模式和虹膜识别模式；场景参数对应的应用场景为支付解锁、环境参数为光线弱，有3条与场景参数和环境参数匹配的验证记录；性能参数为验证时间、匹配度和功耗，验证时间的预设性能参数权重为0.6、匹配度的预设性能参数为0.6、功耗的预设性能参数权重为-0.2。表1为3条验证记录和3个多生物识别模式的对应的性能参数，经过计算可分别获取第一验证记录对应的评价值为0.5、0.37、0.36；第二验证记录对应的评价值为0.412、0.468、0.308；第三验证记录对应的评价值为0.624、0.5、0.428，则计算每一个模式的评价值的平均值可获取第一多识别模式的评价值为0.512、 第二多识别模式的评价值为0.479、第三多识别模式的评价值为0.365，则选取第一多识别模式作为目标多生识别模式。
表1
Figure PCTCN2018091871-appb-000001
可以理解，根据每一验证记录包括的性能参数和预设性能参数权重确定每一多生物识别模式对应的评价值，再根据评价值的大小选取目标多生物识别模式，可提高采用目标多生物识别模式进行验证的识别率。
在一个可能的示例中，在所述处理器110从历史验证记录中获取与所述场景参数和所述环境参数对应的验证记录，得到L个验证记录方面，所述处理器110具体用于：根据所述场景参数和所述环境参数获取N种生物识别模式；从所述M种多生物识别模式中获取所述N种生物识别模式构成的R种多生物识别模式；从所述历史验证记录中获取所述R种多生物识别模式对应的所述L个验证记录。
其中，N为大于1的整数，R为小于M的正整数。也就是说，先从移动终端100所配备的生物信息采集装置对应的生物识别模式中选出与场景参数和环境参数对应的N种生物识别模式，则获取上述N种生物识别模式对应的历史验证记录，而减少移动终端100的运算负荷，从而提高整机续航能力。
例如，当光线强度低于预设阈值时，则N种生物识别模式可包括指纹识别模式，而不包括虹膜识别模式、面部识别模式等依赖光线强度的生物识别模式；当支付数量超出预设阈值，且用户的手指上生了茧子时，则N种生物识别模式可包括虹膜识别模式等安全级别高的生物识别方式，而不包括指纹识别模式。
在本申请实施例中，目标多生物识别模式对应的生物信息采集模块为目标生物信息采集模块，所述目标生物信息采集模块用于采集S个生物验证信息；所述处理器110还用于在所述S个生物验证信息验证成功时进行解锁。
其中，S大于或等于1的整数，由于目标多生物识别模式包括至少一种生物识别模式，与此对应的目标生物信息采集模块包括至少一种生物信息采集模块，则所述目标生物信息采集模块中每一生物信息采集模块可采集一个生物验证信息，从而得到S个生物验证信息。
可以理解，在本申请实施例中，环境传感器130获取移动终端100的环境参数，处理器110获取移动终端100的场景参数，从存储器120预先存储的M种多生物识别模式中选取与场景参数和环境参数对应的目标多生物识别模式，则通过与目标多生物识别模式对应的目标生物信息采集模块采集S个生物验证信息，而不是调用移动终端100上所配备的所有的生物信息采集装置，从而节省了移动终端100的功耗，提高了移动终端100的整机续航能力。且基于移动终端100的环境参数和场景参数采集生物验证信息，并在S个生物验证信息验证成功时进行解锁，提高了解锁的成功率和安全性。
在一个可能的示例中，所述处理器110，还用于当所述S个生物验证信息中存在一个验证失败的生物验证信息时，从所述M种多生物识别模式中除了所述目标多生物识别模式之外的M-1种多生物识别模式中选取备选多生物识别模式。
也就是说，当S个生物验证信息中存在一个验证失败的生物验证信息时，处理器110可从M种多生物识别模式中除了目标多生物识别模式之外的M-1种多生物识别模式中选取备选多生物识别模式，则可通过备选多生物识别模式对应的备选生物信息采集模块进行生物验证信息采集，而不是原先的目标多生物识别模式对应的目标生物信息采集模块采集生物验证信息，提高了操作的便利性和灵活性。
举例来说，用户出现一些特殊情况，例如，手指脏、佩戴了美瞳或面部受伤导致移动终端100检测到生物验证信息与预设生物验证信息不匹配，则选取备选生物信息采集模块进行生物信息采集，从而提高验证的效率。
在本申请实施例中，备选多生物识别模式为M种多生物识别模式中除了目标多生物识别模式之外的一种多生物识别模式，可以是用户指定的一种专门用于采集失败或验证失败的多生物识别模式，也可以是通过处理器110根据用户选择或删除的生物识别模式、目标信息采集装置包括的生物识别模式、采集失败或验证失败选取的多生物识别模式等等。
可选的，在处理器110从M种多生物识别模式中除了目标多生物识别模式之外的M-1种多生物识别模式中选取备选多生物识别模式方面，处理器110具体用于从M种多生物识别模式中除了目标多生物识别模式之外的M-1个多生物识别模块中选取不包括验证失败的生物验证信息对应的参考生物识别模式的多生物识别模式得到K种多生物识别模式；从K种多生物识别模式中选取与场景参数和环境参数对应的多生物识别模式作为备选多生物识别模式。
其中，K为小于或等于M-1的正整数。
举例来说，假设移动终端100包括第一多识别模式、第二多识别模式和第三多识别模式3种多生物识别模式，其中，第一多识别模式包括指纹识别模式和虹膜识别模式、第二多识别模式包括指纹识别模式、面部识别模式和虹膜识别模式、第三多识别模式包括面部识别模式和虹膜识别模式；场景参数对应的应用场景为支付解锁、环境参数为光线弱，选取第一多识别模式作为目标多生 识别模式。当用户的手指上有汗时，导致第一多识别模式对应的指纹采集模块采集的生物验证信息与预设生物验证信息不匹配，参考生物识别模式为指纹识别模式，则从剩余2个多生物识别模式中选出不包括参考生物识别模式的多生物识别模式作为备选多生物识别模式，则只存在第三多识别模式满足上述条件，即选取第三多识别模式为备选多生物识别模式。
对于如何根据场景参数和环境参数从K种多生物识别模式中选取备选多生物识别模式，可参照之前的方法，例如：获取K种多生物识别模式中每一多生物识别模式对应的评价值得到K个评价值，然后从K个评价值中最大评价值对应的多生物识别模式作为备选多生物识别模式。
可选的，处理器110还用于接收关闭指定生物识别模式指令；从剩余M-1个多生物识别模式中选取不包括所述关闭指定生物识别模式指令中包括的生物识别模式，得到Q个多生物识别模式；通过处理器110获取Q个多生物识别模式对应的Q个评价值，选取Q个评价值中最大评价值对应的多生物识别模式作为备选多生物识别模式。
其中，Q为小于或等于M-1的正整数。也就是说，从剩余的M-1个多生物识别模式中选取不包含关闭指定生物识别模式指令对应的Q个多生物识别模式，再根据Q个多生物识别模式对应的Q个评价值确定备选多生物识别模式，从而提高确定备选多生物识别模式的准确性。
举例来说，假设移动终端100包括第一多识别模式、第二多识别模式和第三多识别模式3种多生物识别模式，其中，第一多识别模式包括指纹识别模式和虹膜识别模式、第二多识别模式包括指纹识别模式、面部识别模式和虹膜识别模式、第三多识别模式包括面部识别模式和虹膜识别模式；场景参数对应的应用场景为支付解锁、环境参数为光线弱，选取第一多识别模式作为目标多生识别模式。当用户的手指上有汗时，导致第一多识别模式采集的生物验证信息与预设生物验证信息不匹配，则用户发送关闭指纹识别模式的关闭指定生物识别模式指令，则从剩余2个多生物识别模式中选出不包括指纹识别模式的多生物识别模式作为备选多生物识别模式，即通过第三多识别模式采集生物特征。
可选的，所述存储器120还用于存储验证阈值；所述处理器110还用于当所述S个生物验证信息中存在至少一个验证失败的生物验证信息和至少一个验证成功的生物验证信息时，获取所述至少一个验证成功的生物验证信息对应的目标安全系数；在所述目标安全系数大于所述验证阈值时，确定所述S个生物验证信息验证成功。
其中，对于获取目标安全系数的方法不做限定。
可选的，在所述处理器110获取所述至少一个验证成功的生物验证信息对应的目标安全系数方面，所述处理器110具体用于获取所述至少一个验证成功的生物验证信息中每一生物验证信息对应的至少一个参考生物模式；获取所述至少一个参考生物模式中每一参考生物模式与所述场景参数和所述环境参数之间的解锁成功率，得到多个解锁成功率；根据所述多个解锁成功率获取所述 目标安全系数。
其中，参考生物模式为目标多生物识别模式对应的生物采集模块采集的生物验证信息验证成功的生物识别模式。
解锁成功率可获取场景参数和环境参数对应的验证记录，即L个验证记录，然后根据L个验证记录获取参考生物模式对应的解锁成功次数，由解锁成功次数确定解锁成功率。
目标安全系数可以为多个解锁成功率的总和，也可以是多个解锁成功率的平均值，在此也不做限定。
可以理解，先确定解锁验证的至少一个参考生物模式，然后确定当前环境参数和环境参数下，至少一个参考生物模式中每一参考生物模式对应的解锁成功率，再根据多个解锁成功率获取目标安全系数。如此，即可确定当前环境参数和环境参数下，参考生物模式对应的解锁成功率，便于提高判断目标安全系数是否满足预设条件的准确性。
在可选实施例中，验证阈值用于判断S个生物验证信息是否验证成功。也就是说，在S个生物验证信息中存在验证成功和验证失败的生物验证信息时，获取至少一个验证成功的生物验证信息对应的目标安全系数，并在目标安全系数大于验证阈值时，确定S个生物验证信息验证成功，否则，可选取备选多生物识别模式，再次进行生物信息采集，从而提高解锁的灵活性和操作的便利性。
请参阅图2，图2是本申请实施例提供了一种解锁控制方法的流程示意图，应用于如图1所描述的移动终端，如图2所示，本解锁控制方法包括：
201：获取移动终端的场景参数。
202：获取所述移动终端的环境参数。
203：从预先存储的M种多生物识别模式中选取与所述场景参数和所述环境参数对应的目标多生物识别模式。
其中，M为大于1的整数。
在一个可能的示例中，从历史验证记录中获取与所述场景参数和所述环境参数对应的验证记录，得到L个验证记录；根据所述L个验证记录从所述M种多生物识别模式中选取所述目标多生物识别模式。
其中，L为大于1的整数，历史验证记录中包括每一次验证的验证时间、与生物验证信息的匹配度、生物信息采集装置的功耗等等性能参数，本申请实施例对于性能参数的数学表达式不做限定，可为小数或百分数等。分析从历史验证记录中查找到的与上述场景参数和环境参数对应的验证记录中的性能参数，则可通过目标多生物识别模式对应的目标生物信息采集模块采集生物验证信息，而不是调用所有移动终端上的生物信息采集装置进行采集，从而节省了移动终端的功耗，提高了移动终端的整机续航能力。
在一个可能的示例中，所述根据所述L个验证记录从所述M种多生物识别模式中选取所述目标多生物识别模式，包括：根据所述L个验证记录中每一 验证记录包括的性能参数和每一性能参数对应的预设性能参数权重获取所述M种多生物识别模式中每一多生物识别模式对应的评价值，得到M个评价值；选取所述M个评价值中最大评价值对应的多生物识别模式作为所述目标多生物识别模式。
其中，对于如何具体计算评价值的计算方法不做限定。可选的，评价值等于性能参数乘以对应的预设性能权重，所有权重相加等于1。
可以理解，根据每一验证记录包括的性能参数和预设性能参数权重确定每一多生物识别模式对应的评价值，再根据评价值的大小选取目标多生物识别模式，可提高采用目标多生物识别模式进行验证的识别率。
在一个可能的示例中，所述从历史验证记录中获取与所述场景参数和所述环境参数对应的验证记录，得到L个验证记录，包括：根据所述场景参数和所述环境参数获取N种生物识别模式，所述N为大于1的整数；从所述M种多生物识别模式中获取所述N种生物识别模式构成的R种多生物识别模式，所述R为小于所述M的正整数；从所述历史验证记录中获取所述R种多生物识别模式对应的所述L个验证记录。
其中，N为大于1的整数，R为小于M的正整数。也就是说，先从移动终端所配备的生物信息采集装置对应的生物识别模式中选出与场景参数和环境参数对应的N种生物识别模式，则获取上述N种生物识别模式对应的历史验证记录，而减少移动终端的运算负荷，从而提高整机续航能力。
204：通过与所述目标多生物识别模式对应的目标生物采集模块采集S个生物验证信息，并在所述S个生物验证信息验证成功时进行解锁。
其中，所述S为大于或等于1的整数。
可选的，所述方法还包括：当所述S个生物验证信息中存在至少一个验证失败的生物验证信息时，从所述M种多生物识别模式中除了所述目标多生物识别模式之外的M-1种多生物识别模式中选取备选多生物识别模式。
也就是说，当S个生物验证信息中存在一个验证失败的生物验证信息时，处理器可从M种多生物识别模式中除了目标多生物识别模式之外的M-1种多生物识别模式中选取备选多生物识别模式，则可通过备选多生物识别模式对应的备选生物信息采集模块进行生物验证信息采集，而不是原先的目标多生物识别模式对应的目标生物信息采集模块采集生物验证信息，提高了操作的便利性和灵活性。
在其中一个示例中，所述从所述M种多生物识别模式中除了所述目标多生物识别模式之外的M-1种多生物识别模式中选取备选多生物识别模式包括：从所述M种多生物识别模式中除了所述目标多生物识别模式之外的M-1种多生物识别模式中选取不包括所述验证失败的生物验证信息对应的多生物识别模式，得到K种多生物识别模式；从所述K种多生物识别模式中选取与所述场景参数和所述环境参数对应的多生物识别模式作为所述备选多生物识别模式。
其中，K为小于或等于M-1的正整数。
可选的，所述方法还包括：接收关闭指定生物识别模式指令；从剩余M-1个多生物识别模式中选取不包括所述关闭指定生物识别模式指令中包括的生物识别模式，得到Q个多生物识别模式；获取Q个多生物识别模式对应的Q个评价值，选取Q个评价值中最大评价值对应的多生物识别模式作为备选多生物识别模式。
其中，Q为小于或等于M-1的正整数。也就是说，从剩余的M-1个多生物识别模式中选取不包含关闭指定生物识别模式指令对应的Q个多生物识别模式，再根据Q个多生物识别模式对应的Q个评价值确定备选多生物识别模式，从而提高确定备选多生物识别模式的准确性。
可选的，所述方法还包括：当所述S个生物验证信息中存在至少一个验证失败的生物验证信息和至少一个验证成功的生物验证信息时，获取所述至少一个验证成功的生物验证信息对应的目标安全系数；在所述目标安全系数大于验证阈值时，确定所述S个生物验证信息验证成功。
可以理解，在S个生物验证信息中存在验证成功和验证失败的生物验证信息时，获取至少一个验证成功的生物验证信息对应的目标安全系数，并在目标安全系数大于验证阈值时，确定S个生物验证信息验证成功，否则，可选取备选多生物识别模式，再次进行生物信息采集，从而提高解锁的灵活性和操作的便利性。在其中一个示例中，所述获取所述至少一个验证成功的生物验证信息对应的目标安全系数包括：获取所述至少一个验证成功的生物验证信息中每一生物验证信息对应的至少一个参考生物模式；获取所述至少一个参考生物模式中每一参考生物模式与所述场景参数和所述环境参数之间的解锁成功率，得到多个解锁成功率；根据所述多个解锁成功率获取所述目标安全系数。
可以理解，先确定解锁验证的至少一个参考生物模式，然后确定当前环境参数和环境参数下，至少一个参考生物模式中每一参考生物模式对应的解锁成功率，再根据多个解锁成功率获取目标安全系数。如此，即可确定当前环境参数和环境参数下，参考生物模式对应的解锁成功率，便于提高判断目标安全系数是否满足预设条件的准确性。
如图2所示的解锁控制方法中，获取移动终端的场景参数和环境参数，从预先存储的M种多生物识别模式中选取与场景参数和环境参数对应的目标多生物识别模式，则通过与目标多生物识别模式对应的目标生物信息采集模块采集S个生物验证信息，而不是调用移动终端上所配备的所有的生物信息采集装置，从而节省了移动终端的功耗，提高了移动终端的整机续航能力。且基于移动终端的环境参数和场景参数采集生物验证信息，并在S个生物验证信息验证成功时进行解锁，提高了解锁的成功率和安全性。
请参照图3，图3是本申请实施例提供的另一种解锁控制装置，如图3所示，上述解锁控制装置300包括：
获取单元301，用于获取移动终端的场景参数和环境参数。
选取单元302，用于从预先存储的M种多生物识别模式中选取与所述场景参数和所述环境参数对应的目标多生物识别模式，所述M为大于1的整数。
采集单元303，用于采集S个生物验证信息，所述S为大于或等于1的整数。
解锁单元304，用于在所述S个生物验证信息验证成功时进行解锁。
作为一种可选的实施例，在所述从预先存储的M种多生物识别模式中选取与所述场景参数和所述环境参数对应的目标多生物识别模式方面，所述获取单元301还用于从历史验证记录中获取与所述场景参数和所述环境参数对应的验证记录，得到L个验证记录，所述L为大于1的整数；所述选取单元302具体用于根据所述L个验证记录从所述M种多生物识别模式中选取所述目标多生物识别模式。
作为一种可选的实施例，在所述根据所述L个验证记录从所述M种多生物识别模式中选取所述目标多生物识别模式方面，所述获取单元301还用于根据所述L个验证记录中每一验证记录包括的性能参数和每一性能参数对应的预设性能参数权重获取所述M种多生物识别模式中每一多生物识别模式对应的评价值，得到M个评价值；所述选取单元302具体用于选取所述M个评价值中最大评价值对应的多生物识别模式作为所述目标多生物识别模式。
作为一种可选的实施例，在所述从历史验证记录中获取与所述场景参数和所述环境参数对应的验证记录，得到L个验证记录方面，所述获取单元301具体用于根据所述场景参数和所述环境参数获取N种生物识别模式，所述N为大于1的整数；从所述M种多生物识别模式中获取所述N种生物识别模式构成的R种多生物识别模式，所述R为小于所述M的正整数；从所述历史验证记录中获取所述R种多生物识别模式对应的所述L个验证记录。
作为一种可选的实施例，所述选取单元302还用于当所述S个生物验证信息中存在至少一个验证失败的生物验证信息时，从所述M种多生物识别模式中除了所述目标多生物识别模式之外的M-1种多生物识别模式中选取备选多生物识别模式。
作为一种可选的实施例，在所述从所述M种多生物识别模式中除了所述目标多生物识别模式之外的M-1种多生物识别模式中选取备选多生物识别模式方面，所述选取单元302具体用于从所述M种多生物识别模式中除了所述目标多生物识别模式之外的M-1种多生物识别模式中选取不包括所述验证失败的生物验证信息对应的多生物识别模式，得到K种多生物识别模式，所述K为小于所述M-1的正整数；从所述K种多生物识别模式中选取与所述场景参数和所述环境参数对应的多生物识别模式作为所述备选多生物识别模式。
作为一种可选的实施例，所述获取单元301还用于当所述S个生物验证信息中存在至少一个验证失败的生物验证信息和至少一个验证成功的生物验证信息时，获取所述至少一个验证成功的生物验证信息对应的目标安全系数；所 述装置300还包括：
确定单元305，用于在所述目标安全系数大于验证阈值时，确定所述S个生物验证信息验证成功。
作为一种可选的实施例，在所述获取所述至少一个验证成功的生物验证信息对应的目标安全系数方面，所述获取单元301具体用于获取所述至少一个验证成功的生物验证信息中每一生物验证信息对应的至少一个参考生物模式；获取所述至少一个参考生物模式中每一参考生物模式与所述场景参数和所述环境参数之间的解锁成功率，得到多个解锁成功率；根据所述多个解锁成功率获取所述目标安全系数。
如图3所示的解锁控制装置中，获取移动终端的场景参数和环境参数，从预先存储的M种多生物识别模式中选取与场景参数和环境参数对应的目标多生物识别模式，则通过与目标多生物识别模式对应的目标生物信息采集模块采集S个生物验证信息，而不是调用移动终端上所配备的所有的生物信息采集装置，从而节省了移动终端的功耗，提高了移动终端的整机续航能力。且基于移动终端的环境参数和场景参数采集生物验证信息，并在S个生物验证信息验证成功时进行解锁，提高了解锁的成功率和安全性。
与上述图2和图3所示的实施例一致的，请参阅图4，图4是本申请实施例提供的一种移动终端的结构示意图，如图4所示，该移动终端600包括处理器610、存储器620、通信接口630以及一个或多个程序640，其中，上述一个或多个程序640被存储在上述存储器620中，并且被配置由上述处理器610执行，上述程序640包括用于执行以下步骤的指令：
获取移动终端的场景参数；
获取所述移动终端的环境参数；
从预先存储的M种多生物识别模式中选取与所述场景参数和所述环境参数对应的目标多生物识别模式，所述M为大于1的整数；
通过与所述目标多生物识别模式对应的目标生物采集模块采集S个生物验证信息，并在所述S个生物验证信息验证成功时进行解锁，所述S为大于或等于1的整数。
可以看出，本申请实施例中，获取移动终端的场景参数和环境参数，从预先存储的M种多生物识别模式中选取与场景参数和环境参数对应的目标多生物识别模式，则通过与目标多生物识别模式对应的目标生物信息采集模块采集S个生物验证信息，而不是调用移动终端上所配备的所有的生物信息采集装置，从而节省了移动终端的功耗，提高了移动终端的整机续航能力。且基于移动终端的环境参数和场景参数采集生物验证信息，并在S个生物验证信息验证成功时进行解锁，提高了解锁的成功率和安全性。
在一个可能的示例中，在所述从预先存储的M种多生物识别模式中选取与所述场景参数和所述环境参数对应的目标多生物识别模式方面，所述程序 640具体用于执行以下步骤的指令：
从历史验证记录中获取与所述场景参数和所述环境参数对应的验证记录，得到L个验证记录，所述L为大于1的整数；
根据所述L个验证记录从所述M种多生物识别模式中选取所述目标多生物识别模式。
在一个可能的示例中，在所述根据所述L个验证记录从所述M种多生物识别模式中选取所述目标多生物识别模式方面，所述程序640具体用于执行以下步骤的指令：
根据所述L个验证记录中每一验证记录包括的性能参数和每一性能参数对应的预设性能参数权重获取所述M种多生物识别模式中每一多生物识别模式对应的评价值，得到M个评价值；
选取所述M个评价值中最大评价值对应的多生物识别模式作为所述目标多生物识别模式。
在一个可能的示例中，在所述从历史验证记录中获取与所述场景参数和所述环境参数对应的验证记录，得到L个验证记录方面，所述程序640具体用于执行以下步骤的指令：
根据所述场景参数和所述环境参数获取N种生物识别模式，所述N为大于1的整数；
从所述M种多生物识别模式中获取所述N种生物识别模式构成的R种多生物识别模式，所述R为小于所述M的正整数；
从所述历史验证记录中获取所述R种多生物识别模式对应的所述L个验证记录。
在一个可能的示例中，所述程序640还用于执行以下步骤的指令：
当所述S个生物验证信息中存在至少一个验证失败的生物验证信息时，从所述M种多生物识别模式中除了所述目标多生物识别模式之外的M-1种多生物识别模式中选取备选多生物识别模式。
在一个可能的示例中，在所述从所述M种多生物识别模式中除了所述目标多生物识别模式之外的M-1种多生物识别模式中选取备选多生物识别模式方面，所述程序640具体用于执行以下步骤的指令：
从所述M种多生物识别模式中除了所述目标多生物识别模式之外的M-1种多生物识别模式中选取不包括所述验证失败的生物验证信息对应的多生物识别模式，得到K种多生物识别模式，所述K为小于所述M-1的正整数；
从所述K种多生物识别模式中选取与所述场景参数和所述环境参数对应的多生物识别模式作为所述备选多生物识别模式。
在一个可能的示例中，所述程序640还用于执行以下步骤的指令：
当所述S个生物验证信息中存在至少一个验证失败的生物验证信息和至少一个验证成功的生物验证信息时，获取所述至少一个验证成功的生物验证信息对应的目标安全系数；
在所述目标安全系数大于验证阈值时，确定所述S个生物验证信息验证成功。
在一个可能的示例中，在所述获取所述至少一个验证成功的生物验证信息对应的目标安全系数方面，所述程序640具体用于执行以下步骤的指令：
获取所述至少一个验证成功的生物验证信息中每一生物验证信息对应的至少一个参考生物模式；
获取所述至少一个参考生物模式中每一参考生物模式与所述场景参数和所述环境参数之间的解锁成功率，得到多个解锁成功率；
根据所述多个解锁成功率获取所述目标安全系数。
本申请实施例还提供一种计算机存储介质，其中，该计算机存储介质存储用于存储计算机程序，该计算机程序使得计算机执行如上述方法实施例中记载的任一方法的部分或全部步骤，所述计算机包括移动终端。
本申请实施例还提供一种计算机程序产品，所述计算机程序产品包括存储了计算机程序的非瞬时性计算机可读存储介质，所述计算机程序可操作来使计算机执行如上述方法实施例中记载的任一方法的部分或全部步骤。该计算机程序产品可以为一个软件安装包，所述计算机包括移动终端。
需要说明的是，对于前述的各方法实施例，为了简单描述，故将其都表述为一系列的动作组合，但是本领域技术人员应该知悉，本申请并不受所描述的动作顺序的限制，因为依据本申请，某些步骤可以采用其他顺序或者同时进行。其次，本领域技术人员也应该知悉，说明书中所描述的实施例均属于优选实施例，所涉及的动作和模块并不一定是本申请所必须的。
在上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述的部分，可以参见其他实施例的相关描述。
在本申请所提供的几个实施例中，应该理解到，所揭露的装置，可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***，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。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的 形式实现。
所述集成的单元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器中。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全部或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器中，包括若干指令用以使得一台计算机设备(可为个人计算机、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。而前述的存储器包括：U盘、只读存储器(read-only memory，ROM)、随机存取存储器(random access memory，RAM)、移动硬盘、磁碟或者光盘等各种可以存储程序代码的介质。
本领域普通技术人员可以理解上述实施例的各种方法中的全部或部分步骤是可以通过程序来指令相关的硬件来完成，该程序可以存储于一计算机可读存储器中，存储器可以包括：闪存盘、只读存储器、随机存取器(、磁盘或光盘等。
以上对本申请实施例进行了详细介绍，本文中应用了具体个例对本申请的原理及实施方式进行了阐述，以上实施例的说明只是用于帮助理解本申请的方法及其核心思想；同时，对于本领域的一般技术人员，依据本申请的思想，在具体实施方式及应用范围上均会有改变之处，综上所述，本说明书内容不应理解为对本申请的限制。

Claims (20)

  1. 一种解锁控制方法，其特征在于，包括：
    获取移动终端的场景参数；
    获取所述移动终端的环境参数；
    从预先存储的M种多生物识别模式中选取与所述场景参数和所述环境参数对应的目标多生物识别模式，所述M为大于1的整数；
    通过与所述目标多生物识别模式对应的目标生物采集模块采集S个生物验证信息，并在所述S个生物验证信息验证成功时进行解锁，所述S为大于或等于1的整数。
  2. 根据权利要求1所述的方法，其特征在于，所述从预先存储的M种多生物识别模式中选取与所述场景参数和所述环境参数对应的目标多生物识别模式，包括：
    从历史验证记录中获取与所述场景参数和所述环境参数对应的验证记录，得到L个验证记录，所述L为大于1的整数；
    根据所述L个验证记录从所述M种多生物识别模式中选取所述目标多生物识别模式。
  3. 根据权利要求2所述的方法，其特征在于，所述根据所述L个验证记录从所述M种多生物识别模式中选取所述目标多生物识别模式，包括：
    根据所述L个验证记录中每一验证记录包括的性能参数和每一性能参数对应的预设性能参数权重获取所述M种多生物识别模式中每一多生物识别模式对应的评价值，得到M个评价值；
    选取所述M个评价值中最大评价值对应的多生物识别模式作为所述目标多生物识别模式。
  4. 根据权利要求2或3所述的方法，其特征在于，所述从历史验证记录中获取与所述场景参数和所述环境参数对应的验证记录，得到L个验证记录，包括：
    根据所述场景参数和所述环境参数获取N种生物识别模式，所述N为大于1的整数；
    从所述M种多生物识别模式中获取所述N种生物识别模式构成的R种多生物识别模式，所述R为小于所述M的正整数；
    从所述历史验证记录中获取所述R种多生物识别模式对应的所述L个验证记录。
  5. 根据权利要求1-4任一项所述的方法，其特征在于，所述方法还包括：
    当所述S个生物验证信息中存在至少一个验证失败的生物验证信息时，从所述M种多生物识别模式中除了所述目标多生物识别模式之外的M-1种多生物识别模式中选取备选多生物识别模式。
  6. 根据权利要求5所述的方法，其特征在于，所述从所述M种多生物识别模式中除了所述目标多生物识别模式之外的M-1种多生物识别模式中选取备选多生物识别模式，包括：
    从所述M种多生物识别模式中除了所述目标多生物识别模式之外的M-1种多生物识别模式中选取不包括所述验证失败的生物验证信息对应的多生物识别模式，得到K种多生物识别模式，所述K为小于所述M-1的正整数；
    从所述K种多生物识别模式中选取与所述场景参数和所述环境参数对应的多生物识别模式作为所述备选多生物识别模式。
  7. 根据权利要求1-4任一项所述的方法，其特征在于，所述方法还包括：
    当所述S个生物验证信息中存在至少一个验证失败的生物验证信息和至少一个验证成功的生物验证信息时，获取所述至少一个验证成功的生物验证信息对应的目标安全系数；
    在所述目标安全系数大于验证阈值时，确定所述S个生物验证信息验证成功。
  8. 根据权利要求7所述的方法，其特征在于，所述获取所述至少一个验证成功的生物验证信息对应的目标安全系数，包括：
    获取所述至少一个验证成功的生物验证信息中每一生物验证信息对应的至少一个参考生物模式；
    获取所述至少一个参考生物模式中每一参考生物模式与所述场景参数和所述环境参数之间的解锁成功率，得到多个解锁成功率；
    根据所述多个解锁成功率获取所述目标安全系数。
  9. 一种移动终端，其特征在于，包括处理器、与所述处理器连接的环境传感器、与目标多生物识别模式对应的目标生物信息采集模块和存储器，其中：
    所述环境传感器，用于获取所述移动终端的环境参数；
    所述存储器，用于存储M种多生物识别模式，所述M为大于1的整数；
    所述处理器，用于获取所述移动终端的场景参数；以及从所述M种多生物识别模式中选取与所述场景参数和所述环境参数对应的所述目标多生物识别模式；
    所述目标生物信息采集模块，用于采集S个生物验证信息，所述S为大于或等于1的整数；
    所述处理器，还用于在所述S个生物验证信息验证成功时进行解锁。
  10. 根据权利要求9所述的移动终端，其特征在于，所述存储器，还用于存储历史验证记录；
    在所述处理器从所述M种多生物识别模式中选取与所述场景参数和所述环境参数对应的目标多生物识别模式方面，所述处理器具体用于从所述历史验证记录中获取与所述场景参数和所述环境参数对应的验证记录，得到L个验证记录，所述L为大于1的整数；根据所述L个验证记录从所述M种多生物识别模式中选取所述目标多生物识别模式。
  11. 根据权利要求10所述的移动终端，其特征在于，所述存储器，还用于存储所述历史验证记录中每一验证记录包括的性能参数和每一性能参数对应的预设性能参数权重；
    在所述处理器根据所述L个验证记录从所述M种多生物识别模式中选取所述目标多生物识别模式方面，所述处理器具体用于根据所述L个验证记录中每一验证记录包括的性能参数和每一性能参数对应的所述预设性能参数权重获取所述M种多生物识别模式中每一多生物识别模式对应的评价值，得到M个评价值；选取所述M个评价值中最大评价值对应的多生物识别模式作为所述目标多生物识别模式。
  12. 根据权利要求10或11所述的移动终端，其特征在于，在所述处理器从历史验证记录中获取与所述场景参数和所述环境参数对应的验证记录，得到L个验证记录方面，所述处理器具体用于根据所述场景参数和所述环境参数获取N种生物识别模式，所述N为大于1的整数；从所述M种多生物识别模式中获取所述N种生物识别模式构成的R种多生物识别模式，所述R为小于所述M的正整数；从所述历史验证记录中获取所述R种多生物识别模式对应的所述L个验证记录。
  13. 根据权利要求9-12任一项所述的移动终端，其特征在于，
    所述处理器，还用于当所述S个生物验证信息中存在至少一个验证失败的生物验证信息时，从所述M种多生物识别模式中除了所述目标多生物识别模式之外的M-1种多生物识别模式中选取备选多生物识别模式。
  14. 根据权利要求13所述的移动终端，其特征在于，在所述处理器从所述M种多生物识别模式中除了所述目标多生物识别模式之外的M-1种多生物识别模式中选取备选多生物识别模式方面，所述处理器具体用于从所述M种多生物识别模式中除了所述目标多生物识别模式之外的M-1种多生物识别模式中选取不包括所述验证失败的生物验证信息对应的多生物识别模式，得到K种多生物识别模式，所述K为小于所述M-1的正整数；从所述K种多生物识 别模式中选取与所述场景参数和所述环境参数对应的多生物识别模式作为所述备选多生物识别模式。
  15. 根据权利要求9-12任一项所述的移动终端，其特征在于，所述存储器，还用于存储验证阈值；所述处理器还用于当所述S个生物验证信息中存在至少一个验证失败的生物验证信息和至少一个验证成功的生物验证信息时，获取所述至少一个验证成功的生物验证信息对应的目标安全系数；在所述目标安全系数大于所述验证阈值时，确定所述S个生物验证信息验证成功。
  16. 根据权利要求15所述的移动终端，其特征在于，在所述处理器获取所述至少一个验证成功的生物验证信息对应的目标安全系数方面，所述处理器具体用于获取所述至少一个验证成功的生物验证信息中每一生物验证信息对应的至少一个参考生物模式；获取所述至少一个参考生物模式中每一参考生物模式与所述场景参数和所述环境参数之间的解锁成功率，得到多个解锁成功率；根据所述多个解锁成功率获取所述目标安全系数。
  17. 一种解锁控制装置，其特征在于，包括：
    获取单元，用于获取移动终端的场景参数和环境参数；
    选取单元，用于从预先存储的M种多生物识别模式中选取与所述场景参数和所述环境参数对应的目标多生物识别模式，所述M为大于1的整数；
    采集单元，用于采集S个生物验证信息，所述S为大于或等于1的整数；
    解锁单元，用于在所述S个生物验证信息验证成功时进行解锁。
  18. 一种移动终端，其特征在于，包括处理器、存储器、通信接口以及一个或多个程序，其中，所述一个或多个程序被存储在所述存储器中，并且被配置由所述处理器执行，所述程序包括用于执行权利要求1-8任一项方法中的步骤的指令。
  19. 一种计算机可读存储介质，其特征在于，其用于存储计算机程序，其中，所述计算机程序使得计算机执行如权利要求1-8任一项所述的方法。
  20. 一种计算机程序产品，其特征在于，所述计算机程序产品包括存储了计算机程序的非瞬时性计算机可读存储介质，所述计算机程序可操作来使计算机执行如权利要求1-8任一项所述的方法。
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