CN107122644B - Switching method of biological password identification mode and mobile terminal - Google Patents

Switching method of biological password identification mode and mobile terminal Download PDF

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CN107122644B
CN107122644B CN201710237347.1A CN201710237347A CN107122644B CN 107122644 B CN107122644 B CN 107122644B CN 201710237347 A CN201710237347 A CN 201710237347A CN 107122644 B CN107122644 B CN 107122644B
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mobile terminal
environment
identification
night
state
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CN107122644A (en
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张海平
周意保
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication
    • G06F21/32User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/72Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
    • H04M1/72454User 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
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M2250/00Details of telephonic subscriber devices
    • H04M2250/12Details of telephonic subscriber devices including a sensor for measuring a physical value, e.g. temperature or motion

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  • Computer Security & Cryptography (AREA)
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  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Computer Hardware Design (AREA)
  • Environmental & Geological Engineering (AREA)
  • Human Computer Interaction (AREA)
  • Computer Networks & Wireless Communication (AREA)
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  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
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Abstract

The invention provides a switching method of a biological password identification mode and a mobile terminal, wherein the switching method of the biological password identification mode comprises the steps of detecting scene information of the environment where the mobile terminal is located; starting an identification mode corresponding to the scene information to identify the biological characteristics of the user, wherein the identification mode comprises the following steps: iris recognition, fingerprint recognition, and face recognition. The invention can improve the flexibility of biological password identification and improve the identification accuracy.

Description

Switching method of biological password identification mode and mobile terminal
Technical Field
The invention relates to the technical field of mobile terminals, in particular to a method for switching a biological password identification mode and a mobile terminal.
Background
It is common to set a biometric code recognition mode on a mobile terminal. The biological password identification can be used for unlocking, awakening and other functions and is an important ring for mobile payment.
In the related art, in the process of biometric identification of a mobile terminal, a fixed identification mode is used to identify the biometric characteristic of a user.
In this way, when the biometric feature acquisition is difficult or the quality is poor, the flexibility and accuracy of the biometric password identification are not high.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, a first objective of the present invention is to provide a method for switching a biometric password recognition mode, which can improve the flexibility of biometric password recognition and improve the recognition accuracy.
A second objective of the present invention is to provide a mobile terminal.
A third object of the present invention is to provide a mobile terminal.
In order to achieve the above object, a method for switching a biometric mode according to an embodiment of a first aspect of the present invention includes: detecting scene information of an environment where the mobile terminal is located; starting an identification mode corresponding to the scene information to identify the biological characteristics of the user, wherein the identification mode comprises the following steps: iris recognition, fingerprint recognition, and face recognition.
According to the method for switching the biometric password identification mode provided by the embodiment of the first aspect of the invention, the identification mode corresponding to the scene information where the mobile terminal is currently located is started to identify the biometric features of the user, so that the flexibility of biometric password identification can be improved, and the identification accuracy can be improved.
In order to achieve the above object, a mobile terminal according to a second aspect of the present invention includes a plurality of biometric modules, including: the sensor module is used for detecting the scene of the environment where the mobile terminal is located; the mobile processor is used for starting a biological identification module corresponding to the scene information; the biometric identification module is used for identifying the biometric characteristics of a user, wherein the biometric identification module comprises: iris discernment module, fingerprint identification module to and face identification module.
The mobile terminal provided by the embodiment of the second aspect of the present invention identifies the biometric characteristic of the user by starting the biometric identification module corresponding to the scene information where the mobile terminal is currently located, so that the flexibility of biometric password identification can be improved, and the identification accuracy can be improved.
In order to solve the above problem, a third aspect of the present invention further provides a mobile terminal, which includes a housing, a processor, a memory, a circuit board, and a power circuit, wherein the circuit board is disposed inside a space enclosed by the housing, and the processor and the memory are disposed on the circuit board; the power supply circuit is used for supplying power to each circuit or device of the mobile terminal; the memory is used for storing executable program codes; the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory, for performing: detecting scene information of an environment where the mobile terminal is located; starting an identification mode corresponding to the scene information to identify the biological characteristics of the user, wherein the identification mode comprises the following steps: iris recognition, fingerprint recognition, and face recognition.
The mobile terminal provided by the embodiment of the third aspect of the invention identifies the biological characteristics of the user by starting the identification mode corresponding to the scene information where the mobile terminal is currently located, so that the flexibility of biological password identification can be improved, and the identification accuracy can be improved.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart illustrating a method for switching a biometric mode according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an image of a fingerprint recognition result according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating a method for switching a biometric mode according to another embodiment of the present invention;
FIG. 4 is a flowchart illustrating a method for switching a biometric mode according to another embodiment of the present invention;
FIG. 5 is a schematic diagram of an image of another recognition result of fingerprint recognition according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a mobile terminal according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a mobile terminal according to another embodiment of the present invention;
fig. 8 is a schematic structural diagram of a mobile terminal according to another embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention. On the contrary, the embodiments of the invention include all changes, modifications and equivalents coming within the spirit and terms of the claims appended hereto.
Fig. 1 is a flowchart illustrating a method for switching a biometric mode according to an embodiment of the present invention.
The embodiment of the invention can be applied to the process of carrying out biological characteristic identification by using the mobile terminal.
The mobile terminal may be a hardware device with various operating systems, such as a smart phone, a tablet computer, a personal digital assistant, and an electronic book, which is not limited thereto.
In the related art, in the process of biometric identification of a mobile terminal, a fixed identification mode is used to identify the biometric characteristic of a user.
In this embodiment, the identification mode corresponding to the scene information where the mobile terminal is currently located is started to identify the biological features of the user, so that the flexibility of biological password identification can be improved, and the identification accuracy can be improved.
It should be noted that the execution subject of the embodiment of the present invention may be, for example, a Central Processing Unit (CPU) in the mobile terminal in terms of hardware, and may be, for example, a service related to biometric identification in the mobile terminal in terms of software, which is not limited to this.
Referring to fig. 1, the method includes:
s11: and detecting scene information of the environment where the mobile terminal is located.
The scene information may be, for example, the state of the environment is a night state; a preset object exists in the environment, wherein the space distance between the preset object and the fingerprint module is not more than a preset distance threshold value; the temperature of the environment is less than a preset temperature threshold; or, the fingerprint image collected by the fingerprint module is blurred, which is not limited to this.
Further, in the embodiment of the present invention, the scene information of the environment where the mobile terminal is located may be detected through a time detection module, a light value detection module, a proximity sensor, a temperature sensor, and the like that are built in the mobile terminal, which is not limited to this.
Optionally, it may be detected whether the current time is within a preset night time range; and if the time is within the night time range, judging that the environment state of the mobile terminal is the night state.
Alternatively, the light value of the environment can be detected; judging whether the light value is within a preset night light range or not; and if the mobile terminal is in the night light range, judging that the environment state of the mobile terminal is the night state.
Optionally, in the environment that can adopt proximity sensor to detect, the spatial distance with the fingerprint module is not more than the object of presetting apart from the threshold value to regard as the object to preset the object.
Alternatively, a temperature sensor may be used to detect whether the temperature of the environment in which the mobile terminal is located is less than a preset temperature threshold.
S12: starting an identification mode corresponding to the scene information to identify the biological characteristics of the user, wherein the identification mode comprises the following steps: iris recognition, fingerprint recognition, and face recognition.
Take the current biometric code recognition mode as fingerprint recognition for example.
Wherein, when needs fingerprint identification, can require the user to press the finger on the fingerprint module to gather the fingerprint image.
Therefore, after the user pressed the finger on the fingerprint module, the fingerprint image this moment was gathered to the fingerprint module, and this image can be called first image.
When the fingerprint of the user is a wet fingerprint or an oil fingerprint, the first image collected at this time is very blurred, and if the fingerprint is directly identified, an identification error may be caused, referring to fig. 2, fig. 2 is a schematic diagram of an identification result image of fingerprint identification in an embodiment of the present invention, and the identification result image is blurred.
Therefore, the identification mode corresponding to the scene information can be started to identify the biological characteristics of the user, so that the flexibility of biological password identification can be improved, and the identification accuracy is improved.
In this embodiment, the recognition mode corresponding to the scene information where the mobile terminal is currently located is started to recognize the biological features of the user, so that the flexibility of biological password recognition can be improved, and the recognition accuracy is improved.
Fig. 3 is a flowchart illustrating a method for switching a biometric mode according to another embodiment of the present invention.
Referring to fig. 3, the method includes:
s31: and detecting scene information of the environment where the mobile terminal is located.
The scene information may be, for example, the state of the environment is a night state; a preset object exists in the environment, wherein the space distance between the preset object and the fingerprint module is not more than a preset distance threshold value; the temperature of the environment is less than a preset temperature threshold; or, the fingerprint image collected by the fingerprint module is blurred, which is not limited to this.
Further, in the embodiment of the present invention, the scene information of the environment where the mobile terminal is located may be detected through a time detection module, a light value detection module, a proximity sensor, a temperature sensor, and the like that are built in the mobile terminal, which is not limited to this.
S32: and determining an identification mode corresponding to the scene information based on a preset switching rule.
The preset switching rule may be preset, and the preset switching rule may be preset by a factory program of the mobile terminal, or the preset switching rule may also be set by a user of the mobile terminal according to a requirement of the scene information actually applied by the terminal, which is not limited to this.
The preset switching rule is configured in advance according to the requirement of the scene information actually applied by the terminal, and the identification mode corresponding to the scene information is determined according to the preset switching rule, so that the switching of the biological password identification mode of the mobile terminal is more suitable for the actual experience, and the flexibility and the applicability of biological password identification are improved.
Optionally, the preset switching rule includes:
when the scene information is: when the environment is in a night state, the identification mode corresponding to the scene information is iris identification or fingerprint identification;
when the scene information is: when a preset object exists in the environment, the identification mode corresponding to the scene information is fingerprint identification, wherein the space distance between the preset object and the fingerprint module is not more than a preset distance threshold;
when the scene information is: and when the temperature of the environment is less than the preset temperature threshold value, the identification mode corresponding to the scene information is iris identification.
S33: a corresponding recognition mode is initiated to recognize the biometric characteristic of the user.
Further, optionally, in some embodiments, referring to fig. 4, if the corresponding recognition mode is fingerprint recognition, the method may further include:
s41: and acquiring an identification result image based on fingerprint identification.
S42: and judging whether the recognition result image meets a preset condition, if so, executing S44, and otherwise, executing S43.
The preset condition may be, for example, that the quality score of the recognition result image is greater than or equal to a preset score threshold.
When calculating the quality score of the recognition result image, a normal fingerprint image quality evaluation algorithm may be used, for example, the quality score of the recognition result image is calculated based on the line definition information, the black-and-white contrast information, the feature point information, and the like in the recognition result image. When the quality score of the recognition result image is higher, it indicates that the quality of the recognition result image is better, and the image definition is higher. Referring to fig. 5, fig. 5 is a schematic diagram of another recognition result image of fingerprint recognition in the embodiment of the present invention, where the recognition result image is clearer.
S43: and switching the current recognition mode into iris recognition or face recognition.
S44: and performing related subsequent operation based on the identification result image.
The subsequent operation may be, for example, an unlocking operation, or a payment operation.
Wherein, when needs fingerprint identification, can require the user to press the finger on the fingerprint module to gather the fingerprint image.
Therefore, after the user pressed the finger on the fingerprint module, the fingerprint image this moment was gathered to the fingerprint module, and this image can be called first image.
When the fingerprint of the user is a wet fingerprint or an oil fingerprint, the first image collected at this time is very blurred, and if the fingerprint is directly recognized, a recognition error is caused, and referring to fig. 2, the recognition result image is blurred.
Therefore, if the quality score of the recognition result image is greater than or equal to the preset score threshold value, that is, the recognition result image is relatively clear, the relevant subsequent operation can be directly performed based on the recognition result image, and if the quality score of the recognition result image is less than the preset score threshold value, that is, the recognition result image is relatively fuzzy, the current recognition mode can be switched to iris recognition or face recognition, so that the recognition accuracy is improved.
In this embodiment, a preset switching rule is configured in advance according to the requirement of the scene information actually applied by the terminal, and the identification mode corresponding to the scene information is determined according to the preset switching rule, so that the switching of the biological password identification mode of the mobile terminal is more suitable for the actual experience, and the flexibility and the applicability of biological password identification are improved. By starting the identification mode corresponding to the scene information where the mobile terminal is located at present, the biological characteristics of the user are identified, the flexibility of biological password identification can be improved, and the identification accuracy is improved.
Fig. 6 is a schematic structural diagram of a mobile terminal according to an embodiment of the present invention.
The mobile terminal 600 includes a plurality of biometric modules.
Referring to fig. 6, the mobile terminal 600 includes: a sensor module 601, a mobile processor 602, and a biometric module 603, wherein the biometric module 603 comprises: iris recognition module 6031, fingerprint recognition module 6032, and face recognition module 6033.
The sensor module 601 is configured to detect scene information of an environment where the mobile terminal is located.
Optionally, the sensor module 601 is specifically configured to:
detecting whether the current time is within a preset night time range;
and if the time is within the night time range, judging that the environment state of the mobile terminal is the night state.
Optionally, the sensor module 601 is specifically configured to:
detecting a light value of the environment;
judging whether the light value is within a preset night light range or not;
and if the mobile terminal is in the night light range, judging that the environment state of the mobile terminal is the night state.
Optionally, the sensor module 601 is specifically configured to:
adopt proximity sensor to detect in the environment, with fingerprint identification module 6032's spatial distance is not more than the object of preset distance threshold value, and will the object is regarded as preset object.
A mobile processor 602, configured to start the biometric module 603 corresponding to the scene information.
Optionally, the mobile processor 602 is further configured to:
when the corresponding biometric identification module is the fingerprint identification module 6032, the identification result image based on the fingerprint identification module 6032 is acquired, whether the identification result image meets the preset condition or not is judged, and when the preset condition is not met, the current biometric identification module is switched to the iris identification module 6031 or the face identification module 6033.
Optionally, referring to fig. 7, in an embodiment, the mobile processor 602 includes:
the determining submodule 6021 is configured to determine, based on a preset switching rule, a biometric identification module corresponding to the scene information.
Optionally, the preset switching rule includes:
when the scene information is: when the environment is in a night state, the biometric identification module corresponding to the scene information is the iris identification module 6031 or the fingerprint identification module 6032;
when the scene information is: when a preset object exists in the environment, the biometric identification module corresponding to the scene information is the fingerprint identification module 6032, wherein the spatial distance between the preset object and the fingerprint identification module 6032 is not greater than a preset distance threshold;
when the scene information is: when the temperature of the environment is less than a preset temperature threshold, the biometric identification module corresponding to the scene information is the iris identification module 6031.
And the promoter module 6022 is used for starting the corresponding biological identification module to identify the biological characteristics of the user.
The biometric identification module 603 is configured to identify a biometric characteristic of a user, wherein the biometric identification module 603 includes: iris recognition module 6031, fingerprint recognition module 6032, and face recognition module 6033.
It should be noted that the explanation of the embodiment of the biometric code recognition mode switching method in the foregoing embodiments of fig. 1 to 5 also applies to the mobile terminal 600 of this embodiment, and the implementation principle is similar and will not be described again here.
In this embodiment, through starting the biometric identification module corresponding to the scene information where the mobile terminal is currently located, the biometric characteristics of the user are identified, the flexibility of biometric password identification can be improved, and the identification accuracy is improved.
Fig. 8 is a schematic structural diagram of a mobile terminal according to another embodiment of the present invention.
The mobile terminal can be a mobile phone, a tablet computer and the like.
Referring to fig. 8, the mobile terminal 80 of the present embodiment includes: the device comprises a shell 801, a processor 802, a memory 803, a circuit board 804 and a power supply circuit 805, wherein the circuit board 804 is arranged in a space enclosed by the shell 801, and the processor 802 and the memory 803 are arranged on the circuit board 804; a power supply circuit 805 for supplying power to each circuit or device of the mobile terminal 80; the memory 803 is used to store executable program code; wherein, the processor 802 runs a program corresponding to the executable program code by reading the executable program code stored in the memory 803, for executing:
detecting scene information of an environment where the mobile terminal is located;
starting an identification mode corresponding to the scene information to identify the biological characteristics of the user, wherein the identification mode comprises the following steps: iris recognition, fingerprint recognition, and face recognition.
It should be noted that the explanation of the embodiment of the biometric code recognition mode switching method in the foregoing embodiments of fig. 1 to 5 also applies to the mobile terminal 80 of this embodiment, and the implementation principle is similar, and is not repeated here.
The mobile terminal in this embodiment identifies the biometric features of the user by starting the identification mode corresponding to the scene information where the mobile terminal is currently located, so that the flexibility of biometric password identification can be improved, and the identification accuracy can be improved.
It should be noted that the terms "first," "second," and the like in the description of the present invention are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, in the description of the present invention, "a plurality" means two or more unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.

Claims (7)

1. A method for switching a biometric password identification mode is characterized by comprising the following steps:
detecting scene information of an environment where a mobile terminal is located, wherein the scene information comprises that the state of the environment where the mobile terminal is located is a night state and the temperature of the environment where the mobile terminal is located is smaller than a preset temperature threshold value;
when the scene information is that the environment state of the mobile terminal is a night state, starting fingerprint identification corresponding to the night state to identify the biological characteristics of the user;
acquiring an identification result image based on the fingerprint identification, judging whether the quality score of the identification result image is greater than or equal to a preset score threshold value, if the identification result image is smaller than the preset score threshold value, switching the fingerprint identification to the iris identification, and performing related subsequent operation based on the identification result image;
and when the scene information is that the temperature of the environment where the mobile terminal is located is less than a preset temperature threshold value, starting corresponding iris recognition to recognize the biological characteristics of the user.
2. The method for switching a biometric password recognition mode according to claim 1, wherein,
detecting whether the current time is within a preset night time range;
and if the time is within the night time range, judging that the environment state of the mobile terminal is the night state.
3. The method for switching a biometric password recognition mode according to claim 1, wherein,
detecting a light value of the environment;
judging whether the light value is within a preset night light range or not;
and if the mobile terminal is in the night light range, judging that the environment state of the mobile terminal is the night state.
4. A mobile terminal, the mobile terminal includes a plurality of biometric modules, characterized in that, the biometric module includes: the iris recognition module, the fingerprint recognition module and the face recognition module; the method comprises the following steps:
the mobile terminal comprises a sensor module, a control module and a display module, wherein the sensor module is used for detecting scene information of an environment where the mobile terminal is located, and the scene information comprises that the state of the environment where the mobile terminal is located is a night state and the temperature of the environment where the mobile terminal is located is less than a preset temperature threshold value;
a mobile processor to:
when the scene information is that the environment of the mobile terminal is in a night state, starting a fingerprint identification module corresponding to the night state to identify the biological characteristics of the user;
acquiring an identification result image based on the fingerprint identification, judging whether the quality score of the identification result image is greater than or equal to a preset score threshold value, if the identification result image is smaller than the preset score threshold value, switching the fingerprint identification to the iris identification, and performing related subsequent operation based on the identification result image;
and when the scene information is that the temperature of the environment where the mobile terminal is located is less than a preset temperature threshold value, starting the corresponding iris identification module to identify the biological characteristics of the user.
5. The mobile terminal of claim 4, wherein the sensor module is specifically configured to:
detecting whether the current time is within a preset night time range;
and if the time is within the night time range, judging that the environment state of the mobile terminal is the night state.
6. The mobile terminal of claim 4, wherein the sensor module is specifically configured to:
detecting a light value of the environment;
judging whether the light value is within a preset night light range or not;
and if the mobile terminal is in the night light range, judging that the environment state of the mobile terminal is the night state.
7. A mobile terminal comprises a shell, a processor, a memory, a circuit board and a power circuit, wherein the circuit board is arranged in a space enclosed by the shell, and the processor and the memory are arranged on the circuit board; the power supply circuit is used for supplying power to each circuit or device of the mobile terminal; the memory is used for storing executable program codes; the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory, for performing:
detecting scene information of an environment where a mobile terminal is located, wherein the scene information comprises that the state of the environment where the mobile terminal is located is a night state and the temperature of the environment where the mobile terminal is located is smaller than a preset temperature threshold value;
when the scene information is that the environment state of the mobile terminal is a night state, starting fingerprint identification corresponding to the night state to identify the biological characteristics of the user;
acquiring an identification result image based on the fingerprint identification, judging whether the quality score of the identification result image is greater than or equal to a preset score threshold value, if the identification result image is smaller than the preset score threshold value, switching the fingerprint identification to the iris identification, and performing related subsequent operation based on the identification result image;
and when the scene information is that the temperature of the environment where the mobile terminal is located is less than a preset temperature threshold value, starting corresponding iris recognition to recognize the biological characteristics of the user.
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