WO2019020013A1 - 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
WO2019020013A1
WO2019020013A1 PCT/CN2018/096825 CN2018096825W WO2019020013A1 WO 2019020013 A1 WO2019020013 A1 WO 2019020013A1 CN 2018096825 W CN2018096825 W CN 2018096825W WO 2019020013 A1 WO2019020013 A1 WO 2019020013A1
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WIPO (PCT)
Prior art keywords
target
biometric module
matching threshold
matching
distance
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PCT/CN2018/096825
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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
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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 EP18837392.2A priority Critical patent/EP3627364B1/en
Publication of WO2019020013A1 publication Critical patent/WO2019020013A1/zh
Priority to US16/723,502 priority patent/US11194996B2/en

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    • 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
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
    • 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
    • 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
    • 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
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • 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
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172—Classification, e.g. identification
    • 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
    • G06V40/18—Eye characteristics, e.g. of the iris
    • G06V40/19—Sensors therefor
    • 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
    • G06V40/18—Eye characteristics, e.g. of the iris
    • G06V40/193—Preprocessing; Feature extraction
    • 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
    • G06V40/18—Eye characteristics, e.g. of the iris
    • G06V40/197—Matching; Classification
    • 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

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 facial recognition method, a voiceprint recognition method, and a vein recognition method.
  • an embodiment of the present application provides an unlocking control method, including:
  • a target biometric module which is any biometric module in the current biometric device to be adjusted with a matching threshold
  • the unlock control is performed according to the target matching threshold.
  • an embodiment of the present application provides a mobile terminal, including a processor, a proximity sensor connected to the processor, a memory, and a target biometric module, where the target biometric module is to be adjusted and matched in the current biometric device. Threshold for any biometric module, where:
  • the proximity sensor is configured to acquire a distance between a human face and the mobile terminal
  • the memory is configured to store a matching threshold corresponding to the target biometric module
  • the processor is configured to determine, according to the distance, a target matching threshold corresponding to the target biometric module, adjust a matching threshold of the target biometric module to the target matching threshold, and perform a target matching threshold according to the target matching threshold Unlock control.
  • an unlocking control apparatus including:
  • An acquiring unit configured to acquire, by using a proximity sensor of the mobile terminal, a distance between the human face and the mobile terminal;
  • a determining unit configured to determine a target biometric module, wherein the target biometric module is any biometric module in the current biometric device to be adjusted with a matching threshold; and determining a target matching threshold corresponding to the target biometric module according to the distance ;
  • An adjusting unit configured to adjust a matching threshold of the target biometric module to the target matching threshold
  • an unlocking control unit configured to perform unlocking control according to the target matching threshold.
  • the embodiment of the present application provides another unlocking control method, which is applied to a mobile terminal including a processor, a proximity sensor connected to the processor, a memory, and a target biometric module, where the target biometric module is Any biometric module in the current biometric device to be adjusted for a matching threshold, wherein:
  • the proximity sensor acquires a distance between a face and the mobile terminal
  • the memory stores a matching threshold corresponding to the target biometric module
  • the processor determines a target matching threshold corresponding to the target biometric module according to the distance, adjusts a matching threshold of the target biometric module to the target matching threshold, and performs unlocking control according to the target matching threshold.
  • 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 the foregoing Executed by the processor, 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 perform 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 flowchart diagram of another unlocking control method according to an embodiment of the present disclosure.
  • FIG. 4 is a schematic flowchart diagram of another unlocking control method according to an embodiment of the present disclosure.
  • FIG. 5 is a schematic structural diagram of an unlocking control apparatus according to an embodiment of the present disclosure.
  • FIG. 6 is a schematic structural diagram of another unlocking control apparatus according to an embodiment of the present disclosure.
  • FIG. 7 is a schematic structural diagram of another mobile terminal according to an embodiment of the present application.
  • 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 technical problem that a fixed verification algorithm leads to low recognition rate of verification.
  • the mobile terminal described in the embodiment of the present application is provided with a biometric identification device, which specifically includes at least a fingerprint identification module, an iris recognition module, and a facial recognition module, and may further include a voice recognition module, a vein recognition module, a sclera recognition module, and the like.
  • Biometric module may be a fingerprint sensor module
  • the iris recognition module may include an infrared light source and an infrared camera
  • the facial recognition 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 .
  • 14 is provided with an infrared light source 21, an infrared camera 22, a front camera 23, a processor 110, a memory 120, a proximity sensor 130, an environmental sensor 140, and a Subscriber Identity Module (SIM) card slot 25, etc.
  • SIM Subscriber Identity Module
  • the vibrator 26, the integrated sound chamber 27, the VOOC flash charging interface 28 and the fingerprint sensor module 24 are disposed.
  • the infrared light source 21 and the infrared camera 22 constitute an iris recognition module of the mobile terminal 100, and the front camera 23 constitutes the mobile terminal.
  • the facial recognition module of 100, the fingerprint sensor module 24 constitutes a fingerprint identification module of the mobile terminal 100.
  • 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 iris image performs iris image quality evaluation, iris region localization (including coarse positioning and fine positioning), iris pretreatment, iris feature point extraction, iris template generation and other processes, and the generated iris template is the biological verification information to be verified.
  • the proximity sensor 130 is generally located on both sides of the earpiece of the mobile terminal 100 or in the ear pocket, and adjusts the touch display screen and/or the backlight according to the distance between the detection object and the mobile terminal 100 to prevent accidental touch and save power, for example,
  • the mobile terminal 100 is close to the head, and the proximity sensor detects that the distance between the user's head and the mobile terminal 100 is less than or equal to a preset threshold, and then notifies the backlight of the touch display to be extinguished.
  • the proximity sensor detects that the distance between the user's head and the mobile terminal 100 is greater than a preset threshold, the backlight of the touch display is notified.
  • the proximity sensor 130 is configured to acquire a distance between a human face and the mobile terminal 100; the memory 120 is configured to store a matching threshold corresponding to the target biometric module; Determining, according to the distance, a target matching threshold corresponding to the target biometric module, adjusting a matching threshold of the target biometric module to the target matching threshold; and performing unlocking control according to the target matching threshold.
  • the target biometric identification module is any biometric identification module in the current biometric identification device to be adjusted with a matching threshold. That is to say, the matching value in the target biometric module has a correlation with the distance, and the embodiment of the present application does not limit the target biometric module and the specific adjustment strategy.
  • Each biometric module sets a matching threshold.
  • the matching value of the biometric information and the preset verification information is greater than or equal to the matching threshold, the verification succeeds in unlocking.
  • the matching threshold of the fingerprint identification module is 80%
  • the matching threshold of the iris recognition module is 85%
  • the matching threshold of the facial recognition module is 82%, and the like.
  • the environmental sensor 140 is configured to acquire an environmental parameter; the processor 110 is further configured to determine the target biometric module according to the environmental parameter.
  • the environmental parameter may include at least one of the following: light intensity, temperature, humidity, electromagnetic interference, geographic location, and the like.
  • the specific environmental parameters are not limited in the embodiment of the present application, and different environmental parameters are required for the biological identification module. Performance parameters are also different.
  • the facial recognition 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 recognition image collected by the fingerprint recognition module. That is to say, the target biometric module can be determined according to the environmental parameters acquired by the environmental sensor 140, thereby improving the recognition rate and flexibility of the verification.
  • the processor 110 is further configured to acquire a scene parameter, and determine the target biometric module according to the scene parameter. That is, the target biometric module is determined according to the page information currently applied by the mobile terminal 100 or the application invoked in the background, thereby improving the recognition rate and flexibility of the verification. Moreover, only the matching threshold of the target biometric module is adjusted, instead of all the biometric modules configured in the mobile terminal 100, the power consumption of the mobile terminal 100 is saved, and the overall endurance capability of the mobile terminal 100 is improved.
  • 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. It should be noted that different scene parameters are different for the performance parameters required by the biometric module, wherein the performance parameters may include verification time, matching value, power consumption, and the like. For example, the unlocked application scenario has a biased verification time, and the paid application scenario has a high matching value.
  • the processor 110 is further configured to determine the target biometric module according to the environment parameter, where the processor 110 is specifically configured to determine the target according to the scenario parameter and the environment parameter. Biometric module.
  • determining the target biometric module by the environmental parameters and the scene parameters of the mobile terminal 100 can improve the accuracy of determining the target biometric module, thereby further improving the recognition rate and flexibility of the verification.
  • the memory 120 is further configured to store a historical verification record; the processor 110 specifically uses the processor 110 to determine a target matching threshold corresponding to the target biometric module according to the distance. Obtaining, from the historical verification record, the verification record corresponding to the target biometric module to obtain L verification records; obtaining the matching values corresponding to the L verification records to obtain L matching values; The L matching values determine the target matching threshold.
  • L is an integer greater than 1
  • the historical verification record includes a verification time of each verification, a matching value with the biometric information, a power consumption of the biometric module, and the like, and the mathematical expression of the performance parameter in the embodiment of the present application
  • the formula is not limited, and may be a decimal or a percentage.
  • the matching value in the verification record corresponding to the distance and the target biometric module found in the historical verification record is analyzed, thereby determining a corresponding target matching threshold in the target biometric module.
  • the determination of the target matching threshold is also not limited, and may be an average value, a minimum value, or a matching value of the matching time in the verification record, and the like.
  • the mobile terminal 100 includes a face recognition module and an iris recognition module
  • the current distance is 8 cm; there are 3 verification records corresponding to 8 cm.
  • Table 1 shows the matching values of the three verification records and the two biometric modules. After calculation, the average value of the matching values of the face recognition module is 62%, and the evaluation value of the iris recognition module is 58.6%.
  • the target matching threshold of the module is 62%, and the target matching threshold of the iris recognition module is 58.6%.
  • Facial recognition module Iris recognition module First verification record 60% 50% Second verification record 56% 66% Third verification record 70% 60%
  • the memory 120 is further configured to store a preset distance of the target biometric module; and the processor 110 determines, according to the distance, a target matching threshold corresponding to the target biometric module,
  • the processor 110 is specifically configured to acquire a first absolute value of a difference between the preset distance and the distance, and acquire the target matching threshold according to the first absolute value.
  • Each biometric module corresponds to a preset distance, and the preset distance may be an optimal distance for obtaining biometric information.
  • the target matching threshold is adjusted centering on the preset distance, and the target matching threshold is closer to or farther from the mobile terminal 100, thereby improving the recognition rate and flexibility of the verification.
  • the first absolute value corresponding to the face recognition module is 2 cm.
  • the first absolute value of the iris recognition module is 3 cm.
  • Table 2 shows the matching values of the first absolute value and the face recognition module and the iris recognition module. After the table lookup, the target matching threshold of the face recognition module corresponding to 8 cm can be obtained as 60%, and the target matching threshold of the iris recognition module is 60%.
  • the processor 110 is further configured to obtain, from the historical verification record, the scene parameter, the environment parameter, and the verification record corresponding to the target biometric module to obtain M verification records; Obtaining, in the M verification records, a verification record whose matching value is greater than a target threshold, obtaining N verification records; determining the preset distance according to the distance corresponding to the N verification records.
  • the target threshold is not limited. It can be understood that the M verification records corresponding to the scene parameters, the environment parameters, and the target biometric module are obtained from the historical verification record, and then N verification records are obtained according to the matching values of the M verification records, and then corresponding to the N verification records.
  • the distance is determined by the preset distance of the target biometric module, that is, the influence of the environmental parameter and the scene parameter on the biometric module is considered, thereby improving the accuracy of determining the preset distance.
  • the memory 120 is further configured to store a preset target threshold, a preset biometric module corresponding to the target biometric module, and preset target biometric verification information, where the preset target threshold is less than the a target matching threshold; the target biometric module is configured to collect biometric verification information; and the processor 110 is further configured to acquire the biometric verification information and the device, where the processor 110 performs unlocking control according to the target matching threshold. And a matching value between the preset target biometric information; and when the matching value is less than the target matching threshold and greater than the preset target threshold, the preset biometric module is activated.
  • the embodiment of the present application is not limited to the preset biometric module, and may be a preset biometric module, or a historical multi-biometric module, or may be a difference between the matching value and the target matching threshold.
  • the absolute value of the value is obtained by the biometric module and so on.
  • the preset biometric module includes at least one biometric module, thereby improving the security of the verification.
  • the processor 110 is further configured to acquire a second absolute value of a difference between the matching value and the target matching threshold; and determine the preset biometric module according to the second absolute value.
  • the mapping relationship between the absolute value and the preset biometric module may be pre-stored, and the absolute value of the difference between the matching value and the target matching threshold is first obtained, and then according to the above mapping relationship and absolute value. Determining the preset biometric module improves the accuracy of determining the preset biometric module.
  • the matching value is 0.706 and the target matching threshold is 0.8
  • the difference between the matching value and the target matching threshold is 0.094.
  • Table 3 the relationship between the difference range and the preset biometric module is obtained.
  • the preset biometric module is a fingerprint identification module.
  • the preset target threshold is a minimum threshold for starting the preset biometric module, that is, when the matching value between the biometric verification information and the preset target biometric information is greater than or equal to the target matching threshold, the unlocking may be performed;
  • the preset biometric module may be activated as long as the matching value is greater than the preset target threshold, and the biometric module may be used for verification. Further increase the flexibility of verification.
  • the fingerprint identification module may be used to obtain the fingerprint image instead of the original designation due to the light intensity or the user's failure to verify the biometric verification information collected by the iris recognition module.
  • the iris recognition module collects biometric information, improving operational convenience, verification efficiency and flexibility.
  • the distance between the face and the mobile terminal 100 is acquired, and after the target biometric module is determined, the matching threshold of the target biometric module is adjusted according to the distance to the target matching threshold, and the dynamic matching may be dynamically changed.
  • the threshold is matched and the unlocking control is performed according to the target matching threshold, thereby improving the recognition rate and flexibility of the unlock.
  • FIG. 2 is a method for unlocking control according to an embodiment of the present disclosure, which is applied to a mobile terminal as described in FIG. 1, that is, the mobile terminal includes a processor, and the A processor-connected proximity sensor, a memory, and a target biometric module, the target biometric module being any biometric module in the current biometric device to be adjusted for a matching threshold. among them:
  • 201 Obtain a distance between the face and the mobile terminal by using a proximity sensor of the mobile terminal.
  • the memory stores a matching threshold corresponding to the target biometric module.
  • the processor determines, according to the distance, a target matching threshold corresponding to the target biometric module, adjusts a matching threshold of the target biometric module to the target matching threshold, and performs unlocking control according to the target matching threshold.
  • the distance between the face and the mobile terminal is obtained, and after the target biometric module is determined, the matching threshold of the target biometric module is adjusted according to the distance to the target matching threshold, and the matching may be dynamically changed. Threshold, and unlock control based on the target matching threshold, thereby improving the recognition rate and flexibility of the unlock.
  • the memory stores a preset distance of the target biometric module; and determining, by the processor, the target matching threshold corresponding to the target biometric module according to the distance comprises: the processor acquiring a pre And a first absolute value of the difference between the distance and the distance; and the target matching threshold is obtained according to the first absolute value.
  • the mobile terminal further includes an environmental sensor coupled to the processor, the method further comprising: the environmental sensor acquiring an environmental parameter; the processor determining the target according to the environmental parameter Biometric module.
  • the determining, by the processor, the target biometric module according to the environment parameter comprises: the processor acquiring a scene parameter of the mobile terminal; determining, according to the scene parameter and the environment parameter, The target biometric module.
  • the method further includes: the processor acquiring the scene parameter, the environment parameter, and the verification record corresponding to the target biometric module from the historical verification record to obtain M verification records.
  • the M is an integer greater than 1; obtaining, from the M verification records, a verification record whose matching value is greater than a target threshold, and obtaining N verification records, where N is a positive integer smaller than the M;
  • the distance corresponding to the verification record determines the preset distance.
  • the memory stores a preset target threshold, a preset biometric module corresponding to the target biometric module, and preset target biometric verification information, where the preset target threshold is less than the target matching threshold;
  • the target biometric module collects biometric verification information;
  • the processor performing unlocking control according to the target matching threshold includes: acquiring a matching value between the biometric verification information and the preset target biometric verification information; and in the matching When the value is less than the target matching threshold and greater than the preset target threshold, the preset biometric module is activated.
  • the method further includes: the processor acquiring a second absolute value of a difference between the matching value and the target matching threshold; determining the pre-determination according to the second absolute value Set up a biometric module.
  • FIG. 3 illustrates another unlocking control method provided by the embodiment of the present application, which is applied to the mobile terminal as described in FIG. 1 .
  • it includes:
  • the target biometric identification module is any biometric identification module in the current biometric identification device to be adjusted with a matching threshold. That is to say, the matching value in the target biometric module has a correlation with the distance, and the embodiment of the present invention does not limit the target biometric module and the specific adjustment strategy.
  • the determining the target biometric module includes: acquiring an environmental parameter by an environmental sensor of the mobile terminal; determining the target biometric module according to the environmental parameter.
  • the environmental parameter may include at least one of the following: light intensity, temperature, humidity, electromagnetic interference, geographical location, etc., and the specific environmental parameters are not limited in the embodiment of the present invention, and different environmental parameters are required for the biological identification module. Performance parameters are also different. That is to say, the environmental parameters of the mobile terminal can be obtained, and then the target biometric module is determined according to the environmental parameters, thereby improving the recognition rate and flexibility of the verification.
  • the method further includes: acquiring a scene parameter, and determining a target biometric module according to the scene parameter.
  • the scenario parameters may include at least one of the following: an application type, an occupied network speed, a transmission data, a data type, and the like. It should be noted that different scene parameters are different for the performance parameters required by the biometric module, wherein the performance parameters may include verification time, matching value, power consumption, and the like.
  • the scene parameters of the mobile terminal can be obtained, and the target biometric module is determined according to the scene parameters, thereby improving the recognition rate and flexibility of the verification.
  • the determining the target biometric module according to the environment parameter comprises: acquiring a scene parameter of the mobile terminal; and determining the target biometric module according to the scene parameter and the environment parameter.
  • the target biometric module is determined by the environmental parameters and the scene parameters of the mobile terminal, and the accuracy of determining the target biometric module is improved, thereby further improving the recognition rate and flexibility of the verification.
  • the determining, according to the distance, the target matching threshold corresponding to the target biometric module comprises: obtaining, from the historical verification record, the verification record corresponding to the target biometric module to obtain L verification records; The matching values corresponding to the L verification records obtain L matching values; and the target matching threshold is determined according to the L matching values.
  • L is an integer greater than 1
  • the historical verification record includes a verification time of each verification, a matching value with the biometric information, a power consumption of the biometric module, and the like, and the mathematical expression of the performance parameter in the embodiment of the present application
  • the formula is not limited, and may be a decimal or a percentage.
  • the determining, according to the distance, the target matching threshold corresponding to the target biometric module comprises: acquiring a first absolute difference between the preset distance of the target biometric module and the distance a value; determining the target matching threshold based on the first absolute value.
  • Each biometric module corresponds to a preset distance, and the preset distance may be an optimal distance for obtaining biometric information.
  • the target matching threshold is adjusted centered on the preset distance, and the target matching threshold is closer to the mobile terminal.
  • the first absolute value of the difference between the preset distance and the distance is obtained first, and then the target matching threshold is determined according to the first absolute value, thereby improving the recognition rate and flexibility of the verification.
  • the method further includes: obtaining, from the historical verification record, the scene parameter, the environment parameter, and the verification record corresponding to the target biometric module to obtain M verification records;
  • the verification records in which the matching value is greater than the target threshold are obtained in the M verification records to obtain N verification records; and the preset distance is determined according to the distance corresponding to the N verification records.
  • M is an integer greater than 1
  • N is a positive integer less than the M.
  • the M verification records corresponding to the scene parameters, the environment parameters, and the target biometric module are obtained from the historical verification record, and then N verification records are obtained according to the matching values of the M verification records, and then corresponding to the N verification records.
  • the distance is determined by the preset distance of the target biometric module, that is, the influence of the environmental parameter and the scene parameter on the biometric module is considered, thereby improving the accuracy of determining the preset distance.
  • the distance between the face and the mobile terminal is acquired, and after the target biometric module is determined, the matching threshold of the target biometric module is adjusted according to the distance to the target matching threshold, and the dynamic matching may be dynamically changed.
  • the threshold is matched and the unlocking control is performed according to the target matching threshold, thereby improving the recognition rate and flexibility of the unlock.
  • FIG. 4 is another unlocking control method provided by an embodiment of the present application, which is applied to the mobile terminal as described in FIG. As shown in FIG. 4, the unlocking control method includes:
  • the method further includes: acquiring a second absolute value of a difference between the matching value and the target matching threshold; determining the preset biometric module according to the second absolute value .
  • the mapping relationship between the absolute value and the preset biometric module may be pre-stored, and the absolute value of the difference between the matching value and the target matching threshold is first obtained, and then according to the above mapping relationship and absolute value. Determining the preset biometric module improves the accuracy of determining the preset biometric module.
  • the distance between the face and the mobile terminal is acquired, and after the target biometric module is determined, the matching threshold of the target biometric module is adjusted according to the distance to the target matching threshold, and the dynamic matching may be dynamically changed.
  • Matching thresholds improves security.
  • the matching value of the biometric verification information collected by the target biometric module and the preset target threshold is less than the target matching threshold, and is greater than the preset target threshold, the preset biometric module is activated, and the biometric module can be unlocked by the preset biometric module. Thereby further improving the recognition rate and flexibility of the unlock.
  • FIG. 5 is an unlocking control device according to an embodiment of the present disclosure.
  • the unlocking control device 500 includes an obtaining unit 501, a determining unit 502, and an adjusting unit 503. And an unlock control unit 504, wherein:
  • the obtaining unit 501 is configured to acquire a distance between the human face and the mobile terminal by using a proximity sensor of the mobile terminal.
  • a determining unit 502 configured to determine a target biometric module, wherein the target biometric module is any biometric module in the current biometric device to be adjusted with a matching threshold; and determining, according to the distance, a target matching corresponding to the target biometric module Threshold.
  • the adjusting unit 503 is configured to adjust a matching threshold of the target biometric module to the target matching threshold.
  • the unlocking control unit 504 is configured to perform unlocking control according to the target matching threshold.
  • the distance between the face and the mobile terminal is acquired, and after the target biometric module is determined, the matching threshold of the target biometric module is adjusted according to the distance to the target matching threshold, and the dynamic matching may be dynamically changed.
  • the threshold is matched and the unlocking control is performed according to the target matching threshold, thereby improving the recognition rate and flexibility of the unlock.
  • FIG. 6 is another unlocking control device provided by the embodiment of the present application. As shown in FIG. 6 , the unlocking control device 600 includes:
  • the obtaining unit 601 is configured to acquire a distance between the human face and the mobile terminal by using a proximity sensor of the mobile terminal.
  • a determining unit 602 configured to determine a target biometric module, where the target biometric module is any biometric module in the current biometric device to be adjusted with a matching threshold; and determining, according to the distance, a target matching corresponding to the target biometric module Threshold.
  • the adjusting unit 603 is configured to adjust a matching threshold of the target biometric module to the target matching threshold.
  • the collecting unit 604 is configured to collect biometric information by using the target biometric module.
  • the obtaining unit 601 is further configured to acquire a matching value between the biometric verification information and the preset biometric verification information.
  • the startup unit 605 is configured to start a preset biometric module when the matching value is smaller than the target matching threshold and greater than a preset target threshold, where the preset target threshold is smaller than a target matching threshold.
  • the obtaining unit 601 is further configured to obtain, from the historical verification record, the verification records corresponding to the target biometric module to obtain L verification records, where L is an integer greater than 1. Obtaining the matching values corresponding to the L verification records to obtain L matching values; the determining unit 602 is specifically configured to determine the target matching threshold according to the L matching values.
  • the acquiring unit 601 is configured to acquire a first absolute value of a difference between a preset distance and a distance of the target biometric module; the determining unit 602 is specifically configured to use the first absolute The value determines the target match threshold.
  • the acquiring unit 601 is further configured to acquire the environment parameter by using an environment sensor; the determining unit 602 is specifically configured to determine the target biometric module according to the environment parameter.
  • the acquiring unit 601 is further configured to acquire a scene parameter of the mobile terminal, and the determining unit 602 is specifically configured to determine the target biometric module according to the scene parameter and the environment parameter. .
  • the acquiring unit 601 is further configured to obtain, by using the historical verification record, the scene parameter, the environment parameter, and the verification record corresponding to the target biometric module to obtain M verifications. Recording, the M is an integer greater than 1; obtaining, from the M verification records, a verification record whose matching value is greater than a target threshold, and obtaining N verification records, where N is a positive integer smaller than the M; the determining unit The 602 is further configured to determine the preset distance according to the distance corresponding to the N verification records.
  • the determining unit 602 is further configured to acquire a second absolute value of the difference between the matching value and the target matching threshold; and determine the preset creature according to the second absolute value. Identify the module.
  • the distance between the face and the mobile terminal is acquired, and after the target biometric module is determined, the matching threshold of the target biometric module is adjusted according to the distance to the target matching threshold, and the dynamic matching may be dynamically changed. Matching thresholds improves security.
  • the matching value of the biometric verification information collected by the target biometric module and the preset target threshold is less than the target matching threshold, and is greater than the preset target threshold, the preset biometric module is activated, and the biometric module can be unlocked by the preset biometric module. Thereby further improving the recognition rate and flexibility of the unlock.
  • FIG. 7 is a schematic structural diagram of a mobile terminal according to an embodiment of the present disclosure.
  • the mobile terminal 700 includes a processor 710 , a memory 720 , and a communication interface . 730 and one or more programs 740, wherein one or more programs 740 are stored in memory 720 and configured to be executed by processor 710, which includes instructions for performing the following steps:
  • a target biometric module which is any biometric module in the current biometric device to be adjusted with a matching threshold
  • the unlock control is performed according to the target matching threshold.
  • the distance between the face and the mobile terminal is obtained, and after the target biometric module is determined, the matching threshold of the target biometric module is adjusted according to the distance to the target matching threshold, and the matching may be dynamically changed. Threshold, and unlock control based on the target matching threshold, thereby improving the recognition rate and flexibility of the unlock.
  • the program 740 is specifically configured to execute an instruction of the following steps in determining the target matching threshold corresponding to the target biometric module according to the distance:
  • the target matching threshold is determined according to the L matching values.
  • the program 740 is specifically configured to execute an instruction of the following steps in determining the target matching threshold corresponding to the target biometric module according to the distance:
  • the target matching threshold is determined based on the first absolute value.
  • the program 740 is specifically for executing instructions of the following steps:
  • the target biometric module is determined based on the environmental parameter.
  • the program 740 is specifically configured to execute the instructions of the following steps in terms of determining the target biometric module according to the environmental parameter:
  • the program 740 is also used to execute instructions of the following steps:
  • the program 740 is specifically configured to execute an instruction of the following steps in terms of performing unlock control according to the target matching threshold:
  • the program 740 is also used to execute instructions of the following steps:
  • 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 method embodiment, the computer includes moving 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 operable to cause a computer to execute part of any of the methods recited in the method embodiments Or all steps.
  • the computer program product can be a software installation package, and the computer includes a mobile terminal.
  • the disclosed apparatus may be implemented in other ways.
  • the device embodiments described above are merely illustrative.
  • the division of cells is only a logical function division. In actual implementation, there may be another division manner.
  • multiple units or components may be combined or may be integrated 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 separate, 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 integrated unit can be implemented either in hardware or in the form of a software functional unit.
  • An integrated unit can be stored in a computer readable memory if it is implemented as a software functional unit and sold or used as a standalone product. Based on such understanding, the technical solution of the present application, in essence or the contribution to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a 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 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

一种解锁控制方法及相关产品，其中方法包括：通过移动终端的接近传感器获取人脸与所述移动终端之间的距离(301)；确定目标生物识别模块(302)，目标生物识别模块为当前生物识别装置中待调整匹配阈值的任一生物识别模块；根据所述距离确定所述目标生物识别模块对应的目标匹配阈值，将所述目标生物识别模块的匹配阈值调整至所述目标匹配阈值（303）；根据所述目标匹配阈值进行解锁控制(304)。所述方法可提高解锁的识别率和灵活性。

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201710632724.1、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、面部识别方法、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：
通过移动终端的接近传感器获取人脸与所述移动终端之间的距离；
确定目标生物识别模块，所述目标生物识别模块为当前生物识别装置中待调整匹配阈值的任一生物识别模块；
根据所述距离确定所述目标生物识别模块对应的目标匹配阈值，将所述目标生物识别模块的匹配阈值调整至所述目标匹配阈值；
根据所述目标匹配阈值进行解锁控制。
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接近传感器、存储器和目标生物识别模块，所述目标生物识别模块为当前生物识别装置中待调整匹配阈值的任一生物识别模块，其中：
所述接近传感器，用于获取人脸与所述移动终端之间的距离；
所述存储器，用于存储所述目标生物识别模块对应的匹配阈值；
所述处理器，用于根据所述距离确定所述目标生物识别模块对应的目标匹配阈值，将所述目标生物识别模块的匹配阈值调整至所述目标匹配阈值；以及根据所述目标匹配阈值进行解锁控制。
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，用于通过移动终端的接近传感器获取人脸与所述移动终端之间的距离；
确定单元，用于确定目标生物识别模块，所述目标生物识别模块为当前生物识别装置中待调整匹配阈值的任一生物识别模块；根据所述距离确定所述目标生物识别模块对应的目标匹配阈值；
调整单元，用于将所述目标生物识别模块的匹配阈值调整至所述目标匹配阈值；
解锁控制单元，用于根据所述目标匹配阈值进行解锁控制。
第四方面，本申请实施例提供了另一种解锁控制方法，应用于包括处理器、与所述处理器连接的接近传感器、存储器和目标生物识别模块的移动终端，所述目标生物识别模块为当前生物识别装置中待调整匹配阈值的任一生物识别模块，其中：
所述接近传感器获取人脸与所述移动终端之间的距离；
所述存储器存储所述目标生物识别模块对应的匹配阈值；
所述处理器根据所述距离确定所述目标生物识别模块对应的目标匹配阈值，将所述目标生物识别模块的匹配阈值调整至所述目标匹配阈值，并根据所述目标匹配阈值进行解锁控制。
第五方面，本申请实施例提供另一种移动终端，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。
第六方面，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。
第七方面，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另一种解锁控制方法的流程示意图；
图4为本申请实施例提供的另一种解锁控制方法的流程示意图；
图5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6为本申请实施例提供的另一种解锁控制装置的结构示意图；
图7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含。例如包含了一系列步骤或单元的过程、方法、系统、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、结构或特性可以包含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，用于解决固定的验证算法导致验证的识别率低的技术问题。
本申请实施例所描述的移动终端设置有生物识别装置，该生物识别装置具体至少包括指纹识别模块、虹膜识别模块和面部识别模块，还可包括声音识别模块、静脉识别模块和巩膜识别模块等等生物识别模块。其中，指纹识别模块可以是指纹传感器模组、虹膜识别模块可以包括红外光源和红外摄像头，面部识别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14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、接近传感器130、环境传感器140和客户识别模块(Subscriber Identity Module，SIM)卡槽等25，副板15上设置有振子26、一体音腔27、VOOC闪充接口28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的虹膜识别模块，上述前置摄像头23组成该移动终端100 的面部识别模块，上述指纹传感器模组24组成该移动终端100的指纹识别模块。
其中，生物识别装置为虹膜识别模块时，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(包含粗定位和精定位)、虹膜预处理、虹膜特征点提取、虹膜模板生成等处理过程，生成的虹膜模板即待验证的生物验证信息。
接近传感器130一般位于移动终端100听筒的两侧或者听筒凹槽中，根据检测对象与移动终端100之间的距离来调节触控显示屏和/或背光灯，防止误触，便于省电，例如：当用户在接收或拨打电话时，将移动终端100靠近头部，接近传感器测出用户头部与移动终端100之间的距离小于或等于预设阈值后，通知熄灭触控显示屏的背光灯，当接近传感器测出用户头部与移动终端100之间的距离大于预设阈值后，则通知点亮触控显示屏的背光灯。
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，所述接近传感器130用于获取人脸与所述移动终端100之间的距离；所述存储器120用于存储目标生物识别模块对应的匹配阈值；所述处理器110用于根据所述距离确定所述目标生物识别模块对应的目标匹配阈值，将所述目标生物识别模块的匹配阈值调整至所述目标匹配阈值；以及根据所述目标匹配阈值进行解锁控制。
其中，上述目标生物识别模块为当前生物识别装置中待调整匹配阈值的任一生物识别模块。也就是说，目标生物识别模块中的匹配值与距离具有关联性，本申请实施例对于目标生物识别模块和具体的调整策略不做限定。
每一生物识别模块都设置了一个匹配阈值，当生物验证信息与预设验证信息的匹配值大于或等于匹配阈值时，验证成功进行解锁。例如：指纹识别模块的匹配阈值为80％、虹膜识别模块的匹配阈值为85％、面部识别模块的匹配阈值为82％等等。
在一个可能的示例中，所述环境传感器140用于获取环境参数；所述处理器110还用于根据所述环境参数确定所述目标生物识别模块。
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、地理位置等等，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识别模块所需的性能参数也不同。例如，面部识别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识别模块采集的指纹识别图像有所影响。也就是说，可以根据环境传感器140获取的环境参数确定目标生物识别模块，从而提高了验证的识别率和灵活性。
可选的，处理器110还用于获取场景参数，根据所述场景参数确定所述目标生物识别模块。即根据移动终端100当前应用的页面信息或后台调用的应用获取场景参数，从而确定目标生物识别模块，可提高验证的识别率和灵活性。且只调整目标生物识别模块的匹配阈值，而不是移动终端100中配置的所有生 物识别模块，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。
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，不同的场景参数对于生物识别模块所需的性能参数不同，其中，性能参数可包括验证时间、匹配值、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值高。
在一个可能的示例中，在处理器110还用于根据所述环境参数确定所述目标生物识别模块方面，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确定所述目标生物识别模块。
也就是说，由移动终端100的环境参数和场景参数确定目标生物识别模块，可提高确定目标生物识别模块的准确性，从而进一步提高了验证的识别率和灵活性。
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根据所述距离确定所述目标生物识别模块对应的目标匹配阈值方面，所述处理器110具体用于：从所述历史验证记录中获取所述距离与所述目标生物识别模块对应的验证记录得到L个验证记录；获取所述L个验证记录对应的匹配值得到L个匹配值；根据所述L个匹配值确定所述目标匹配阈值。
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值、生物识别模块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。
本申请实施例中，分析从历史验证记录中查找到的与上述距离与目标生物识别模块对应的验证记录中的匹配值，从而确定目标生物识别模块中对应的目标匹配阈值。对于目标匹配阈值的确定也不做限定，可以是验证记录中的匹配值的平均值、最小值或解锁时间最长对于的匹配值等等。
举例来说，假设移动终端100包括面部识别模块和虹膜识别模块，当前距离为8cm；存在3条与8cm对应的验证记录。表1为3条验证记录和2个生物识别模块对应的匹配值，经过计算可分别获取面部识别模块的匹配值的平均值为62％、虹膜识别模块的评价值为58.6％，则选取面部识别模块的目标匹配阈值为62％，虹膜识别模块的目标匹配阈值为58.6％。
表1
  面部识别模块 虹膜识别模块
第一验证记录 60％ 50％
第二验证记录 56％ 66％
第三验证记录 70％ 60％
在一个可能的示例中，所述存储器120还用于存储所述目标生物识别模块的预设距离；在所述处理器110根据所述距离确定所述目标生物识别模块对应的目标匹配阈值方面，所述处理器110具体用于获取预设距离与所述距离之间差值的第一绝对值；根据所述第一绝对值获取所述目标匹配阈值。
其中，每一生物识别模块对应一个预设距离，预设距离可为获取生物验证 信息的最佳距离。以预设距离为中心对目标匹配阈值进行调整，且离移动终端100越近或越远的目标匹配阈值越低，从而提高了验证的识别率和灵活性。
举例来说，假设面部识别模块的预设距离为6cm、虹膜识别模块的预设距离为5cm，当前人脸与移动终端100的距离为8cm，则面部识别模块对应的第一绝对值为2cm，虹膜识别模块对应的第一绝对值为3cm。表2为第一绝对值和面部识别模块、虹膜识别模块对应的匹配值，经过查表可获取8cm对应的面部识别模块的目标匹配阈值为60％、虹膜识别模块的目标匹配阈值为60％。
表2
  面部识别模块 虹膜识别模块
1cm 50％ 40％
2cm 60％ 50％
3cm 70％ 60％
4cm 70％ 70％
5cm 80％ 80％
6cm 90％ 70％
7cm 80％ 60％
8cm 70％ 50％
9cm 60％ 40％
在一个可能的示例中，所述处理器110还用于从所述历史验证记录中获取所述场景参数、所述环境参数和所述目标生物识别模块对应的验证记录得到M个验证记录；从所述M个验证记录中获取匹配值大于目标阈值的验证记录，得到N个验证记录；根据所述N个验证记录对应的距离确定所述预设距离。
其中，M为大于1的整数，N为小于所述M的正整数；目标阈值不做限定。可以理解，从历史验证记录中获取与场景参数、环境参数和目标生物识别模块对应的M个验证记录，然后根据M个验证记录的匹配值获取N个验证记录，再根据N个验证记录对应的距离确定所述目标生物识别模块的预设距离，即考虑了环境参数、场景参数对生物识别模块的影响，从而提高了确定预设距离的准确性。
在一个可能的示例中，所述存储器120还用于存储预设目标阈值、所述目标生物识别模块对应的预设生物识别模块和预设目标生物验证信息，所述预设目标阈值小于所述目标匹配阈值；所述目标生物识别模块用于采集生物验证信息；在所述处理器110根据所述目标匹配阈值进行解锁控制方面，所述处理器110还用于获取所述生物验证信息与所述预设目标生物验证信息之间的匹配值；以及在所述匹配值小于所述目标匹配阈值，且大于所述预设目标阈值时，启动所述预设生物识别模块。
本申请实施例对于预设生物识别模块不做限定，可以是预先设置的生物识别模块，也可以是历史多生物识别模块中的一种，还可以是针对匹配值和目标匹配阈值之间的差值的绝对值获取的生物识别模块等等。需要说明的是，预设 生物识别模块至少包括一个生物识别模块，从而提高验证的安全性。
可选的，所述处理器110还用于获取所述匹配值和所述目标匹配阈值之间的差值的第二绝对值；根据所述第二绝对值确定所述预设生物识别模块。
在本申请实施例中，可预先存储绝对值与预设生物识别模块之间的映射关系，先获取匹配值和目标匹配阈值之间的差值的绝对值，然后根据上述的映射关系和绝对值确定预设生物识别模块，提高了确定预设生物识别模块的准确性。
举例来说，假设匹配值为0.706，目标匹配阈值为0.8，则匹配值和目标匹配阈值之间的差值为0.094，如表3为差值范围和预设生物识别模块的关系，则可获取预设生物识别模块为指纹识别模块。
表3
差值范围 预设生物识别模块
[0,0.2] 指纹识别模块
[0.2,0.4] 声音识别模块和面部识别模块
[0.4,0.6] 声音识别模块和虹膜识别模块
[0.6,0.8] 指纹识别模块、声音识别模块和面部识别模块
[0.8,1.0] 指纹识别模块、声音识别模块和虹膜识别模块
其中，预设目标阈值为启动预设生物识别模块的最低阈值，也就是说，当生物验证信息与预设目标生物验证信息之间的匹配值大于或等于目标匹配阈值时，即可进行解锁；当生物验证信息与预设目标生物验证信息之间的匹配值小于目标匹配阈值时，只要匹配值大于预设目标阈值就可启动预设生物识别模块，则可通过预设生物识别模块进行验证，进一步提高验证的灵活性。
举例来说，假设预设生物识别模块为指纹识别模块，由于光线强度或者用户带着美瞳导致虹膜识别模块采集的生物验证信息验证失败，则可选用指纹识别模块获取指纹图像，而不是原先指定的虹膜识别模块采集生物验证信息，提高了操作的便利性、验证效率和灵活性。
可以看出，本申请实施例中，获取人脸和移动终端100之间的距离，在确定目标生物识别模块之后，根据距离调整目标生物识别模块的匹配阈值至目标匹配阈值，则可动态改变了匹配阈值，并根据目标匹配阈值进行解锁控制，从而提高解锁的识别率和灵活性。
与图1实施例一致的，请参照图2，图2为本申请实施例提供的一种解锁控制方法，应用于如图1所描述的移动终端，即该移动终端包括处理器、与所述处理器连接的接近传感器、存储器和目标生物识别模块，所述目标生物识别模块为当前生物识别装置中待调整匹配阈值的任一生物识别模块。其中：
201：通过移动终端的接近传感器获取人脸与所述移动终端之间的距离。
202：存储器存储目标生物识别模块对应的匹配阈值。
203：处理器根据所述距离确定所述目标生物识别模块对应的目标匹配阈值，将所述目标生物识别模块的匹配阈值调整至所述目标匹配阈值，并根据所 述目标匹配阈值进行解锁控制。
可以看出，本申请实施例中，获取人脸和移动终端之间的距离，在确定目标生物识别模块之后，根据距离调整目标生物识别模块的匹配阈值至目标匹配阈值，则可动态改变了匹配阈值，并根据目标匹配阈值进行解锁控制，从而提高解锁的识别率和灵活性。
在一个可能的示例中，所述存储器存储历史验证记录；所述处理器根据所述距离确定所述目标生物识别模块对应的目标匹配阈值包括：所述处理器从历史验证记录中获取所述距离与所述目标生物识别模块对应的验证记录得到L个验证记录，L为大于1的整数；获取所述L个验证记录对应的匹配值得到L个匹配值；根据所述L个匹配值确定所述目标匹配阈值。
在一个可能的示例中，所述存储器存储所述目标生物识别模块的预设距离；所述处理器根据所述距离确定所述目标生物识别模块对应的目标匹配阈值包括：所述处理器获取预设距离与所述距离之间差值的第一绝对值；根据所述第一绝对值获取所述目标匹配阈值。
在一个可能的示例中，所述移动终端还包括与所述处理器连接的环境传感器，所述方法还包括：所述环境传感器获取环境参数；所述处理器根据所述环境参数确定所述目标生物识别模块。
在一个可能的示例中，所述处理器根据所述环境参数确定所述目标生物识别模块包括：所述处理器获取所述移动终端的场景参数；根据所述场景参数和所述环境参数确定所述目标生物识别模块。
在一个可能的示例中，所述方法还包括：所述处理器从所述历史验证记录中获取所述场景参数、所述环境参数和所述目标生物识别模块对应的验证记录得到M个验证记录，所述M为大于1的整数；从所述M个验证记录中获取匹配值大于目标阈值的验证记录得到N个验证记录，所述N为小于所述M的正整数；根据所述N个验证记录对应的距离确定所述预设距离。
在一个可能的示例中，所述存储器存储预设目标阈值、所述目标生物识别模块对应的预设生物识别模块和预设目标生物验证信息，所述预设目标阈值小于所述目标匹配阈值；所述目标生物识别模块采集生物验证信息；所述处理器根据目标匹配阈值进行解锁控制包括：获取所述生物验证信息与所述预设目标生物验证信息之间的匹配值；以及在所述匹配值小于所述目标匹配阈值，且大于所述预设目标阈值时，启动预设生物识别模块。
在一个可能的示例中，所述方法还包括：所述处理器获取所述匹配值和所述目标匹配阈值之间的差值的第二绝对值；根据所述第二绝对值确定所述预设生物识别模块。
与图1实施例一致的，请参照图3，图3位本申请实施例提供的另一种解锁控制方法，应用于如图1所描述的移动终端。如图3所示，包括：
301：通过移动终端的接近传感器获取人脸与所述移动终端之间的距离。
302：确定目标生物识别模块。
其中，上述目标生物识别模块为当前生物识别装置中待调整匹配阈值的任一生物识别模块。也就是说，目标生物识别模块中的匹配值与距离具有关联性，本发明实施例对于目标生物识别模块和具体的调整策略不做限定。
在一个可能的示例中，所述确定目标生物识别模块包括：通过移动终端的环境传感器获取环境参数；根据所述环境参数确定所述目标生物识别模块。
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、地理位置等等，本发明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识别模块所需的性能参数也不同。也就是说，可获取移动终端的环境参数，再根据环境参数确定目标生物识别模块，从而提高验证的识别率和灵活性。
可选的，所述方法还包括：获取场景参数，根据所述场景参数确定目标生物识别模块。
在可选实施例中，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，不同的场景参数对于生物识别模块所需的性能参数不同，其中，性能参数可包括验证时间、匹配值、功耗等等。
也就是说，可获取移动终端的场景参数，再根据场景参数确定目标生物识别模块，从而提高验证的识别率和灵活性。
在一个可能的示例中，所述根据所述环境参数确定所述目标生物识别模块包括：获取所述移动终端的场景参数；根据所述场景参数和所述环境参数确定所述目标生物识别模块。
也就是说，由移动终端的环境参数和场景参数确定目标生物识别模块，提高确定目标生物识别模块的准确性，从而进一步提高了验证的识别率和灵活性。
303：根据所述距离确定所述目标生物识别模块对应的目标匹配阈值，将所述目标生物识别模块的匹配阈值调整至所述目标匹配阈值。
在一个可能的示例中，所述根据距离确定目标生物识别模块对应的目标匹配阈值包括：从历史验证记录中获取所述距离与所述目标生物识别模块对应的验证记录得到L个验证记录；获取所述L个验证记录对应的匹配值得到L个匹配值；根据所述L个匹配值确定所述目标匹配阈值。
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值、生物识别模块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。
可以理解，分析从历史验证记录中查找到的与上述距离与目标生物识别模块对应的验证记录中的匹配值，从而确定目标生物识别模块中对应的目标匹配阈值，可提高确定目标匹配阈值的准确性。
在一个可能的示例中，所述根据所述距离确定所述目标生物识别模块对应的目标匹配阈值包括：获取所述目标生物识别模块的预设距离与所述距离之间差值的第一绝对值；根据所述第一绝对值确定所述目标匹配阈值。
其中，每一生物识别模块对应一个预设距离，预设距离可为获取生物验证信息的最佳距离。以预设距离为中心对目标匹配阈值进行调整，且离移动终端越近或越远的目标匹配阈值越低。
可以理解，先获取预设距离与距离之间的差值的第一绝对值，再根据第一绝对值确定目标匹配阈值，从而提高了验证的识别率和灵活性。
在一个可能的示例中，所述方法还包括：从所述历史验证记录中获取所述场景参数、所述环境参数和所述目标生物识别模块对应的验证记录得到M个验证记录；从所述M个验证记录中获取匹配值大于目标阈值的验证记录得到N个验证记录；根据所述N个验证记录对应的距离确定所述预设距离。
其中，M为大于1的整数，N为小于所述M的正整数。
可以理解，从历史验证记录中获取与场景参数、环境参数和目标生物识别模块对应的M个验证记录，然后根据M个验证记录的匹配值获取N个验证记录，再根据N个验证记录对应的距离确定所述目标生物识别模块的预设距离，即考虑了环境参数、场景参数对生物识别模块的影响，从而提高了确定预设距离的准确性。
304：根据所述目标匹配阈值进行解锁控制。
如图3所示的解锁控制方法中，获取人脸和移动终端之间的距离，在确定目标生物识别模块之后，根据距离调整目标生物识别模块的匹配阈值至目标匹配阈值，则可动态改变了匹配阈值，并根据目标匹配阈值进行解锁控制，从而提高解锁的识别率和灵活性。
与图1实施例一致的，请参照图4，图4是本申请实施例提供的另一种解锁控制方法，应用于如图1所描述的移动终端。如图4所示，该解锁控制方法包括：
401：通过移动终端的接近传感器获取人脸与所述移动终端之间的距离。
402：确定目标生物识别模块。
403：根据所述距离确定所述目标生物识别模块对应的目标匹配阈值，将所述目标生物识别模块的匹配阈值调整至所述目标匹配阈值。
404：通过所述目标生物识别模块采集生物验证信息。
405：获取所述生物验证信息与预设生物验证信息之间的匹配值。
406：在所述匹配值小于所述目标匹配阈值，且大于预设目标阈值时，启动预设生物识别模块。
在一个可能的示例中，所述方法还包括：获取所述匹配值和所述目标匹配阈值之间的差值的第二绝对值；根据所述第二绝对值确定所述预设生物识别模块。
在本申请实施例中，可预先存储绝对值与预设生物识别模块之间的映射关系，先获取匹配值和目标匹配阈值之间的差值的绝对值，然后根据上述的映射关系和绝对值确定预设生物识别模块，提高了确定预设生物识别模块的准确性。
如图4所示的解锁控制方法中，获取人脸和移动终端之间的距离，在确定目标生物识别模块之后，根据距离调整目标生物识别模块的匹配阈值至目标匹配阈值，则可动态改变了匹配阈值，提高了安全性。在目标生物识别模块采集的生物验证信息与预设目标阈值的匹配值小于目标匹配阈值，且大于预设目标阈值时，启动预设生物识别模块，则可通过预设生物识别模块进行解锁控制，从而进一步提高解锁的识别率和灵活性。
与图1实施例一致的，请参照图5，图5是本申请实施例提供的一种解锁控制装置，如图5所示，解锁控制装置500包括获取单元501、确定单元502、调整单元503以及解锁控制单元504，其中：
获取单元501，用于通过移动终端的接近传感器获取人脸与所述移动终端之间的距离。
确定单元502，用于确定目标生物识别模块，所述目标生物识别模块为当前生物识别装置中待调整匹配阈值的任一生物识别模块；根据所述距离确定所述目标生物识别模块对应的目标匹配阈值。
调整单元503，用于将所述目标生物识别模块的匹配阈值调整至所述目标匹配阈值。
解锁控制单元504，用于根据所述目标匹配阈值进行解锁控制。
如图5所示的解锁控制装置中，获取人脸和移动终端之间的距离，在确定目标生物识别模块之后，根据距离调整目标生物识别模块的匹配阈值至目标匹配阈值，则可动态改变了匹配阈值，并根据目标匹配阈值进行解锁控制，从而提高解锁的识别率和灵活性。
可以理解的是，本实施例的解锁控制装置的各程序模块的功能可根据方法实施例中的方法具体实现，其具体实现过程可以参照方法实施例的相关描述，此处不再赘述。
与图1实施例一致的，请参照图6，图6是本申请实施例提供的另一种解锁控制装置，如图6所示，解锁控制装置600包括：
获取单元601，用于通过移动终端的接近传感器获取人脸与所述移动终端之间的距离。
确定单元602，用于确定目标生物识别模块，所述目标生物识别模块为当前生物识别装置中待调整匹配阈值的任一生物识别模块；根据所述距离确定所述目标生物识别模块对应的目标匹配阈值。
调整单元603，用于将所述目标生物识别模块的匹配阈值调整至所述目标匹配阈值。
采集单元604，用于通过所述目标生物识别模块采集生物验证信息。
所述获取单元601，还用于获取所述生物验证信息与预设生物验证信息之间的匹配值。
启动单元605，用于在所述匹配值小于所述目标匹配阈值，且大于预设目标阈值时，启动预设生物识别模块，所述预设目标阈值小于目标匹配阈值。
作为一种可选的实施例，所述获取单元601，还用于从历史验证记录中获取所述距离与所述目标生物识别模块对应的验证记录得到L个验证记录，L为大于1的整数；获取所述L个验证记录对应的匹配值得到L个匹配值；所述确定单元602具体用于根据所述L个匹配值确定所述目标匹配阈值。
作为一种可选的实施例，所述获取单元601，用于获取目标生物识别模块的预设距离与距离之间差值的第一绝对值；确定单元602具体用于根据所述第一绝对值确定所述目标匹配阈值。
作为一种可选的实施例，所述获取单元601，还用于通过环境传感器获取所述环境参数；所述确定单元602具体用于根据所述环境参数确定所述目标生物识别模块。
作为一种可选的实施例，所述获取单元601，还用于获取所述移动终端的场景参数；确定单元602具体用于根据所述场景参数和所述环境参数确定所述目标生物识别模块。
作为一种可选的实施例，所述获取单元601，还用于从所述历史验证记录中获取所述场景参数、所述环境参数和所述目标生物识别模块对应的验证记录得到M个验证记录，所述M为大于1的整数；从所述M个验证记录中获取匹配值大于目标阈值的验证记录得到N个验证记录，所述N为小于所述M的正整数；所述确定单元602还用于根据所述N个验证记录对应的距离确定所述预设距离。
作为一种可选的实施例，确定单元602还用于获取所述匹配值和所述目标匹配阈值之间的差值的第二绝对值；根据所述第二绝对值确定所述预设生物识别模块。
如图6所示的解锁控制装置中，获取人脸和移动终端之间的距离，在确定目标生物识别模块之后，根据距离调整目标生物识别模块的匹配阈值至目标匹配阈值，则可动态改变了匹配阈值，提高了安全性。在目标生物识别模块采集的生物验证信息与预设目标阈值的匹配值小于目标匹配阈值，且大于预设目标阈值时，启动预设生物识别模块，则可通过预设生物识别模块进行解锁控制，从而进一步提高解锁的识别率和灵活性。
与图1实施例一致的，请参阅图7，图7是本申请实施例提供的一种移动终端的结构示意图，如图7所示，该移动终端700包括处理器710、存储器720、通信接口730以及一个或多个程序740，其中，一个或多个程序740被存储在存储器720中，并且被配置由处理器710执行，程序740包括用于执行以下步骤的指令：
通过移动终端的接近传感器获取人脸与所述移动终端之间的距离；
确定目标生物识别模块，所述目标生物识别模块为当前生物识别装置中待 调整匹配阈值的任一生物识别模块；
根据所述距离确定所述目标生物识别模块对应的目标匹配阈值，将所述目标生物识别模块的匹配阈值调整至所述目标匹配阈值；
根据所述目标匹配阈值进行解锁控制。
可以看出，本申请实施例中，获取人脸和移动终端之间的距离，在确定目标生物识别模块之后，根据距离调整目标生物识别模块的匹配阈值至目标匹配阈值，则可动态改变了匹配阈值，并根据目标匹配阈值进行解锁控制，从而提高解锁的识别率和灵活性。
在一个可能的示例中，在所述根据所述距离确定所述目标生物识别模块对应的目标匹配阈值方面，所述程序740具体用于执行以下步骤的指令：
从历史验证记录中获取所述距离与所述目标生物识别模块对应的验证记录得到L个验证记录，L为大于1的整数；
获取所述L个验证记录对应的匹配值得到L个匹配值；
根据所述L个匹配值确定所述目标匹配阈值。
在一个可能的示例中，在所述根据所述距离确定所述目标生物识别模块对应的目标匹配阈值方面，所述程序740具体用于执行以下步骤的指令：
获取所述目标生物识别模块的预设距离与所述距离之间差值的第一绝对值；
根据所述第一绝对值确定所述目标匹配阈值。
在一个可能的示例中，在所述确定目标生物识别模块方面，所述程序740具体用于执行以下步骤的指令：
通过环境传感器获取环境参数；
根据所述环境参数确定所述目标生物识别模块。
在一个可能的示例中，在所述根据所述环境参数确定所述目标生物识别模块方面，所述程序740具体用于执行以下步骤的指令：
获取所述移动终端的场景参数；
根据所述场景参数和所述环境参数确定所述目标生物识别模块。
在一个可能的示例中，所述程序740还用于执行以下步骤的指令：
从所述历史验证记录中获取所述场景参数、所述环境参数和所述目标生物识别模块对应的验证记录得到M个验证记录，所述M为大于1的整数；
从所述M个验证记录中获取匹配值大于目标阈值的验证记录得到N个验证记录，所述N为小于所述M的正整数；
根据所述N个验证记录对应的距离确定所述预设距离。
在一个可能的示例中，在所述根据所述目标匹配阈值进行解锁控制方面，所述程序740具体用于执行以下步骤的指令：
通过所述目标生物识别模块采集生物验证信息；
获取所述生物验证信息与预设生物验证信息之间的匹配值；
在所述匹配值小于所述目标匹配阈值，且大于预设目标阈值时，启动预设 生物识别模块，所述预设目标阈值小于目标匹配阈值。
在一个可能的示例中，所述程序740还用于执行以下步骤的指令：
获取所述匹配值和所述目标匹配阈值之间的差值的第二绝对值；
根据所述第二绝对值确定所述预设生物识别模块。
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方法实施例中记载的任一方法的部分或全部步骤，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，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，计算机程序可操作来使计算机执行如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，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，可以是电性或其它的形式。
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。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。
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，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：
    通过移动终端的接近传感器获取人脸与所述移动终端之间的距离；
    确定目标生物识别模块，所述目标生物识别模块为当前生物识别装置中待调整匹配阈值的任一生物识别模块；
    根据所述距离确定所述目标生物识别模块对应的目标匹配阈值，将所述目标生物识别模块的匹配阈值调整至所述目标匹配阈值；
    根据所述目标匹配阈值进行解锁控制。
  2. 根据权利要求1所述的方法，其特征在于，所述根据所述距离确定所述目标生物识别模块对应的目标匹配阈值，包括：
    从历史验证记录中获取所述距离与所述目标生物识别模块对应的验证记录，得到L个验证记录，所述L为大于1的整数；
    获取所述L个验证记录对应的匹配值，得到L个匹配值；
    根据所述L个匹配值确定所述目标匹配阈值。
  3. 根据权利要求1所述的方法，其特征在于，所述根据所述距离确定所述目标生物识别模块对应的目标匹配阈值，包括：
    获取所述目标生物识别模块的预设距离与所述距离之间差值的第一绝对值；
    根据所述第一绝对值确定所述目标匹配阈值。
  4. 根据权利要求1至3任一项所述的方法，其特征在于，所述确定目标生物识别模块，包括：
    通过所述移动终端的环境传感器获取环境参数；
    根据所述环境参数确定所述目标生物识别模块。
  5. 根据权利要求4所述的方法，其特征在于，所述根据所述环境参数确定所述目标生物识别模块，包括：
    获取所述移动终端的场景参数；
    根据所述场景参数和所述环境参数确定所述目标生物识别模块。
  6. 根据权利要求5所述的方法，其特征在于，所述方法还包括：
    从所述历史验证记录中获取所述场景参数、所述环境参数和所述目标生物识别模块对应的验证记录，得到M个验证记录，所述M为大于1的整数；
    从所述M个验证记录中获取匹配值大于目标阈值的验证记录，得到N个验证记录，所述N为小于所述M的正整数；
    根据所述N个验证记录对应的距离确定所述预设距离。
  7. 根据权利要求1-6任一项所述的方法，其特征在于，所述根据所述目标匹配阈值进行解锁控制，包括：
    通过所述目标生物识别模块采集生物验证信息；
    获取所述生物验证信息与预设生物验证信息之间的匹配值；
    在所述匹配值小于所述目标匹配阈值，且大于预设目标阈值时，启动预设生物识别模块，所述预设目标阈值小于所述目标匹配阈值。
  8. 根据权利要求7所述的方法，其特征在于，所述方法还包括：
    获取所述匹配值和所述目标匹配阈值之间的差值的第二绝对值；
    根据所述第二绝对值确定所述预设生物识别模块。
  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接近传感器、存储器和目标生物识别模块，所述目标生物识别模块为当前生物识别装置中待调整匹配阈值的任一生物识别模块，其中：
    所述接近传感器，用于获取人脸与所述移动终端之间的距离；
    所述存储器，用于存储所述目标生物识别模块对应的匹配阈值；
    所述处理器，用于根据所述距离确定所述目标生物识别模块对应的目标匹配阈值，将所述目标生物识别模块的匹配阈值调整至所述目标匹配阈值；以及根据所述目标匹配阈值进行解锁控制。
  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；
    在所述处理器根据所述距离确定所述目标生物识别模块对应的目标匹配阈值方面，所述处理器，具体用于从所述历史验证记录中获取所述距离与所述目标生物识别模块对应的验证记录，得到L个验证记录，所述L为大于1的整数；获取所述L个验证记录对应的匹配值，得到L个匹配值；根据所述L个匹配值确定所述目标匹配阈值。
  11. 根据权利要求9所述的移动终端，其特征在于，所述存储器，还用于存储所述目标生物识别模块的预设距离；
    在所述处理器根据所述距离确定所述目标生物识别模块对应的目标匹配阈值方面，所述处理器，具体用于获取所述预设距离与所述距离之间差值的第一绝对值；根据所述第一绝对值获取所述目标匹配阈值。
  12. 根据权利要求9至11任一项所述的移动终端，其特征在于，所述移动终端还包括与所述处理器连接的环境传感器；
    所述环境传感器，用于获取环境参数；
    所述处理器，还用于根据所述环境参数确定所述目标生物识别模块。
  13. 根据权利要求12所述的移动终端，其特征在于，在所述处理器根据所述环境参数确定所述目标生物识别模块方面，所述处理器，具体用于获取所述移动终端的场景参数；根据所述场景参数和所述环境参数确定所述目标生物识别模块。
  14. 根据权利要求13所述的移动终端，其特征在于，所述处理器，还用于从所述历史验证记录中获取所述场景参数、所述环境参数和所述目标生物识别模块对应的验证记录，得到M个验证记录，所述M为大于1的整数；从所述M个验证记录中获取匹配值大于目标阈值的验证记录，得到N个验证记录，所述N为小于所述M的正整数；根据所述N个验证记录对应的距离确定所述预设距离。
  15. 根据权利要求9-14任一项所述的移动终端，其特征在于，
    所述存储器，还用于存储预设目标阈值、所述目标生物识别模块对应的预设生物识别模块和预设目标生物验证信息，所述预设目标阈值小于所述目标匹配阈值；
    所述目标生物识别模块，用于采集生物验证信息；
    在所述处理器根据所述目标匹配阈值进行解锁控制方面，所述处理器，具体用于获取所述生物验证信息与所述预设目标生物验证信息之间的匹配值；以及在所述匹配值小于所述目标匹配阈值，且大于所述预设目标阈值时，启动所述预设生物识别模块。
  16. 一种解锁控制装置，其特征在于，包括：
    获取单元，用于通过移动终端的接近传感器获取人脸与所述移动终端之间的距离；
    确定单元，用于确定目标生物识别模块，所述目标生物识别模块为当前生物识别装置中待调整匹配阈值的任一生物识别模块；根据所述距离确定所述目标生物识别模块对应的目标匹配阈值；
    调整单元，用于将所述目标生物识别模块的匹配阈值调整至所述目标匹配阈值；
    解锁控制单元，用于根据所述目标匹配阈值进行解锁控制。
  17. 一种解锁控制方法，其特征在于，应用于包括处理器、与所述处理器连接的接近传感器、存储器和目标生物识别模块的移动终端，所述目标生物识别模块为当前生物识别装置中待调整匹配阈值的任一生物识别模块，其中：
    所述接近传感器获取人脸与所述移动终端之间的距离；
    所述存储器存储所述目标生物识别模块对应的匹配阈值；
    所述处理器根据所述距离确定所述目标生物识别模块对应的目标匹配阈值，将所述目标生物识别模块的匹配阈值调整至所述目标匹配阈值，并根据所述目标匹配阈值进行解锁控制。
  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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