WO2019154184A1 - Procédé de reconnaissance de caractéristique biologique et terminal mobile - Google Patents

Procédé de reconnaissance de caractéristique biologique et terminal mobile Download PDF

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Publication number
WO2019154184A1
WO2019154184A1 PCT/CN2019/073670 CN2019073670W WO2019154184A1 WO 2019154184 A1 WO2019154184 A1 WO 2019154184A1 CN 2019073670 W CN2019073670 W CN 2019073670W WO 2019154184 A1 WO2019154184 A1 WO 2019154184A1
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WIPO (PCT)
Prior art keywords
biometric
preset
mobile terminal
target
recognition
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PCT/CN2019/073670
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English (en)
Chinese (zh)
Inventor
唐纯杰
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维沃移动通信有限公司
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Publication of WO2019154184A1 publication Critical patent/WO2019154184A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/1365—Matching; Classification
    • 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
    • G06V40/50—Maintenance of biometric data or enrolment thereof
    • 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
    • G06V40/70—Multimodal biometrics, e.g. combining information from different biometric modalities

Definitions

  • the present disclosure relates to the technical field of communication applications, and in particular, to a biometric identification method and a mobile terminal.
  • the mobile terminal can only recognize the corresponding biometrics according to the biometric recognition mode currently opened by the mobile terminal.
  • the currently opened biometric identification method is successful. The probability is low.
  • the recognition success rate of the biometrics is greatly reduced, thereby affecting the user's use of the mobile terminal.
  • the purpose of the present disclosure is to provide a biometric identification method and a mobile terminal, which are used to solve the biometric feature of a mobile terminal of the related art, and can only identify corresponding biometrics according to the biometric identification mode currently opened by the mobile terminal.
  • the problem of low recognition rate is to provide a biometric identification method and a mobile terminal, which are used to solve the biometric feature of a mobile terminal of the related art, and can only identify corresponding biometrics according to the biometric identification mode currently opened by the mobile terminal.
  • an embodiment of the present disclosure provides a biometric identification method, which is applied to a mobile terminal, and includes:
  • the scene feature information includes at least one of the following parameters:
  • the light intensity of the environment in which the mobile terminal is located the temperature of the environment in which the mobile terminal is located, and various preset biometrics input by the user.
  • an embodiment of the present disclosure further provides a mobile terminal, including:
  • a receiving module configured to receive a target operation input by a user
  • An acquiring module configured to acquire scene feature information of an environment in which the mobile terminal is located, in response to the target operation
  • An identification module configured to determine at least one target biometric identification manner from the plurality of preset biometric identification modes according to a relationship between the scene feature information and a recognition condition corresponding to the plurality of preset biometric identification modes And identifying a target biometric corresponding to the target biometric identification mode input by the user;
  • the scene feature information includes at least one of the following parameters:
  • the light intensity of the environment in which the mobile terminal is located the temperature of the environment in which the mobile terminal is located, and various preset biometrics input by the user.
  • an embodiment of the present disclosure further provides a mobile terminal, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, where the computer program is executed by the processor The steps of the biometric method as described above.
  • an embodiment of the present disclosure further provides a computer readable storage medium, where the computer readable storage medium stores a computer program, and when the computer program is executed by a processor, implements the biometric identification method as described above. step.
  • the target operation input by the user is received; in response to the target operation, the scene feature information of the environment in which the mobile terminal is located is acquired; and the recognition condition corresponding to the plurality of preset biometric feature modes according to the scene feature information
  • the relationship between the at least one target biometric recognition manner is determined from the plurality of preset biometric identification manners, and the target biometric features corresponding to the target biometric identification manner input by the user are identified.
  • the target biometric recognition mode is determined according to the scene feature information, and the target biometric recognition mode has a higher recognition success rate under the current scene feature information, thereby improving the recognition success rate when the mobile terminal recognizes the biometric.
  • FIG. 1 is a flowchart of a biometric identification method according to an embodiment of the present disclosure
  • FIG. 2 is a schematic diagram of a module of a mobile terminal according to an embodiment of the present disclosure
  • FIG. 3 is a second schematic diagram of a module of a mobile terminal according to an embodiment of the present disclosure.
  • FIG. 4 is a structural block diagram of a mobile terminal according to an embodiment of the present disclosure.
  • an embodiment of the present disclosure provides a biometric identification method, which is applied to a mobile terminal, and includes:
  • Step 101 Receive a target operation input by a user.
  • the target operation may be specifically that the user presses the fingerprint identification area with a finger, that is, when the mobile terminal detects the fingerprint in the fingerprint recognition area, the mobile terminal triggers acquiring the scene feature information of the environment in which the mobile terminal is located.
  • Step 102 Acquire, in response to the target operation, scene feature information of an environment in which the mobile terminal is located.
  • the scene feature information includes at least one of the following parameters: a light intensity of an environment in which the mobile terminal is located, a temperature of an environment in which the mobile terminal is located, and a plurality of preset biometrics input by the user.
  • the light intensity of the environment in which the mobile terminal is located can obtain the light intensity according to the photosensitive data by reading the photosensitive data from the photosensitive sensor; the temperature of the environment in which the mobile terminal is located can read the temperature of the processor CPU of the mobile terminal from the temperature sensitive sensor.
  • the plurality of preset biometrics described above may include fingerprints, faces, eyes, palm prints, and the like.
  • Step 103 Determine at least one target biometric recognition manner from the plurality of preset biometric identification manners according to a relationship between the scene feature information and a recognition condition corresponding to the plurality of preset biometric identification modes, and The target biometric corresponding to the target biometric recognition mode input by the user is identified.
  • the scene feature information satisfies the recognition condition corresponding to the target biometric recognition mode, that is, under the scene feature information, the mobile terminal recognizes that the target biometric corresponding to the target biometric feature has a recognition success rate greater than a preset recognition rate, for example, The recognition success rate is greater than 90%.
  • the various preset biometric features include fingerprints, faces, eyes, palm prints, and the like.
  • Different biometric identification methods correspond to different recognition conditions.
  • the recognition conditions corresponding to the fingerprint identification method include: the temperature in the environment where the mobile terminal is located is greater than the preset temperature value, and the image quality information of the acquired fingerprint satisfies the first image quality. Condition, such as the sharpness of the collected fingerprint is greater than the first value, and the coverage area of the fingerprint is greater than the second value.
  • the recognition condition corresponding to the face recognition method includes: the light intensity in the environment where the mobile terminal is located is greater than the preset light intensity value, and the image quality information of the collected face satisfies the second image quality condition, such as the sharpness of the collected face is greater than The third value.
  • the face recognition is turned on, or the scene feature information satisfies the recognition condition corresponding to the fingerprint recognition mode, and the fingerprint recognition is turned on, or the scene feature information is simultaneously satisfied.
  • the face recognition method and the fingerprint recognition method correspond to the recognition condition, and the face and/or fingerprint recognition is turned on.
  • the biometric identification method of the embodiment of the present disclosure receives a target operation input by a user; and in response to the target operation, acquires scene feature information of an environment in which the mobile terminal is located; and according to the scene feature information and a plurality of preset biometric identification methods Determining a relationship between the corresponding recognition conditions, determining at least one target biometric recognition manner from the plurality of preset biometric identification methods, and performing a target biometric corresponding to the target biometric identification mode input by the user Identification.
  • the target biometric recognition mode is determined according to the scene feature information, and the target biometric recognition mode has a higher recognition success rate under the current scene feature information, thereby improving the recognition success rate when the mobile terminal recognizes the biometric.
  • the biometric identification method of the embodiment of the present disclosure in the step 103, according to the relationship between the scene feature information and the recognition conditions corresponding to the plurality of preset biometric recognition modes, the plurality of preset biometrics are Identifying at least one target biometric method in the identification method, including:
  • each of the preset biometric recognition manners is determined as the target biometric recognition manner.
  • the scene feature information does not satisfy the recognition condition corresponding to the fingerprint recognition mode or the recognition condition corresponding to the face recognition mode, that is, under the current scene feature information, the recognition success rate of the successfully recognized fingerprint and the face is lower than the preset.
  • the face recognition method and the fingerprint recognition method are both used as the target biometric recognition methods, that is, the face and fingerprint recognition are respectively opened to improve the recognition rate of the biometrics successfully recognized.
  • each preset biometric feature may also be identified.
  • the face and the fingerprint are separately identified; if the light intensity is higher than the highest light intensity set by the fingerprint recognition and
  • the biometrics that are predetermined to be identified are fingerprints, and the fingerprints and faces are separately identified.
  • the ambient temperature is lower than the lowest ambient temperature set by the fingerprint recognition and the predetermined recognized biometric is a fingerprint, the fingerprint and the face are respectively identified.
  • the fingerprint image quality is lower than the lowest image quality of the successfully recognized fingerprint setting and the predetermined recognized biometric is a fingerprint
  • the fingerprint and the face are respectively identified; or the face image quality is lower than the lowest of the successfully recognized face setting.
  • the image quality and the biometric feature to be recognized are the human face, and the face and the fingerprint are respectively identified; or the fingerprint image quality and the face image quality are lower than the lowest image quality set respectively, respectively, the fingerprint and the face are respectively Identify.
  • the scene feature information includes at least two parameters:
  • the light intensity of the environment in which the mobile terminal is located the temperature of the environment in which the mobile terminal is located, and various preset biometrics input by the user.
  • the foregoing step 103 determines, according to the relationship between the scene feature information and the recognition conditions corresponding to the plurality of preset biometric identification modes, determining at least the plurality of preset biometric identification modes.
  • a target biometric method including:
  • the preset biometric recognition mode is determined as the target biometric recognition mode.
  • the plurality of preset biometric features include a face and a fingerprint
  • the scene feature information includes a light intensity of an environment in which the mobile terminal is located, a temperature of an environment in which the mobile terminal is located, and a face and a fingerprint input by the user.
  • the fingerprint identification mode is determined as the target biometric identification mode, that is, the scene feature information satisfies the recognition condition corresponding to the fingerprint identification mode.
  • the foregoing step 103 is determined according to the relationship between the scene feature information and the recognition conditions corresponding to the plurality of preset biometric identification modes, and determined from the plurality of preset biometric identification modes.
  • At least one target biometric method including:
  • the light intensity of the environment in which the mobile terminal is located is compared with the preset light intensity to obtain a first matching value.
  • the light intensity of the environment in which the mobile terminal is located is compared with the preset light intensity, and the first matching value is obtained according to the first difference between the light intensity of the environment in which the mobile terminal is located and the preset light intensity.
  • the first matching value increases as the first difference increases, for example, the light intensity of the environment in which the mobile terminal is located is 5 cd, the preset light The intensity is 1 cd, and the first preset range is 0 cd-10 cd.
  • the first difference is 4 cd
  • the first matching value is 60%.
  • the first The match value is 70%.
  • the temperature of the environment in which the mobile terminal is located is compared with the preset ambient temperature, and the second matching value is obtained according to the second difference between the temperature of the environment in which the mobile terminal is located and the preset ambient temperature.
  • the second matching value increases as the second difference increases.
  • the temperature of the environment in which the mobile terminal is located is 20 ° C
  • the preset ambient temperature is 10 ° C
  • the second predetermined range is 0 ° C -50 ° C
  • the second difference is 10 ° C
  • the second matching value is 70%
  • the temperature of the environment in which the mobile terminal is located is 30 ° C
  • the first match value is 80%.
  • the plurality of preset biometrics input by the user are compared with the preset biometric template to obtain a third matching value of each preset biometric.
  • each preset biometric is compared with a corresponding preset biometric template to obtain a third matching value of each preset biometric, for example, comparing the fingerprint input by the user with the preset fingerprint template.
  • the third matching value of the fingerprint is obtained, and the face input by the user is compared with the preset face template to obtain a third matching value of the face.
  • a first weight value, a second matching value, and a third matching value are assigned corresponding weight values, and then according to the first matching value, the second matching value, and the first
  • the third matching degree value and the assigned weight value obtain the target matching degree value of each preset biometric
  • the target matching degree value of each preset biometric feature can be obtained by weighted summation processing, specifically, in calculating each
  • each matching degree value and the corresponding weight value may be multiplied first, and then the values obtained by multiplying each matching degree value and the weighting value are added to obtain each pre-preparation value. Set the target match value of the biometric.
  • the target biometric recognition mode is determined according to the target matching degree value of each preset biometric.
  • the target matching degree values of each preset biometric are sorted in descending order, the sorting result is obtained, and the matching manner corresponding to the target matching degree value of the top N bits in the sorting result is determined.
  • N is a positive integer.
  • the preset biometric features include a fingerprint, a face, an eye, and a palm print, and the corresponding target matching values are 50, 60, 70, and 80, respectively. If the value of N is 2, the eye recognition mode and the palm print are determined.
  • the recognition method is the target biometric identification method.
  • the identification manner corresponding to the preset biometric may also be determined as the target biometric identification manner.
  • At least one target biometric feature is determined from the plurality of preset biometric methods by using a target matching degree value of each preset biometric to improve recognition when the mobile terminal recognizes the biometric Success rate.
  • the foregoing step 103 determines, according to the relationship between the scene feature information and the recognition conditions corresponding to the plurality of preset biometric identification modes, from the plurality of preset biometric identification modes.
  • At least one target biometric method including:
  • the first matching value and the second matching value are respectively assigned corresponding weight values, and then according to the first matching value, the second matching value, and the assigned weight value, Obtaining a target matching degree value of each preset biometric, and obtaining a target matching degree value of each preset biometric by weighted summation processing; and then using the foregoing target matching degree value corresponding to each preset biometric
  • the matching value is compared, and if the target matching value is greater than a preset matching value corresponding to a preset biometric, the matching manner corresponding to the preset biometric is determined as the target biometric identification mode.
  • the implementation includes:
  • implementations include:
  • step 103 the target biometric corresponding to the target biometric identification mode input by the user is identified, including:
  • the target biometric corresponding to the target biometric identification mode input by the user includes the biometric feature that the mobile terminal pre-determines, the biometric feature that is predetermined to be recognized by the mobile terminal is identified.
  • the fingerprint recognition is performed at this time, and the power consumption loss of the mobile terminal is reduced under the premise of ensuring the biometric recognition rate.
  • the scene feature information can be intelligently determined before the biometric recognition is performed, and thus it is possible to intelligently select whether to recognize only the target biometrics or to identify each of the preset biometrics separately.
  • an embodiment of the present disclosure further provides a mobile terminal 200, including:
  • the receiving module 201 is configured to receive a target operation input by the user
  • the obtaining module 202 is configured to acquire, according to the target operation, scene feature information of an environment in which the mobile terminal is located;
  • the identification module 203 is configured to determine at least one target biometric identification from the plurality of preset biometric identification methods according to a relationship between the scene feature information and a recognition condition corresponding to the plurality of preset biometric identification modes. And identifying a target biometric corresponding to the target biometric identification mode input by the user;
  • the scene feature information includes at least one of the following parameters:
  • the light intensity of the environment in which the mobile terminal is located the temperature of the environment in which the mobile terminal is located, and various preset biometrics input by the user.
  • the identification module 203 is configured to: if the scene feature information does not meet the recognition condition corresponding to any preset biometric identification mode, each of the presets The biometric identification method is determined as the target biometric identification method.
  • the identification module 203 includes:
  • the detecting sub-module 2031 is configured to detect whether each of the parameters meets a recognition condition corresponding to each preset biometric identification manner;
  • the first determining sub-module 2032 is configured to determine that the preset biometric feature is determined if a preset number of parameters in the scene feature information meet the recognition condition corresponding to the preset biometric feature Target biometrics.
  • the identification module 203 includes:
  • the first obtaining sub-module 2033 is configured to compare the light intensity of the environment in which the mobile terminal is located with the preset light intensity to obtain a first matching value
  • the second obtaining sub-module 2034 is configured to compare the temperature of the environment in which the mobile terminal is located with the preset ambient temperature to obtain a second matching value.
  • the third obtaining sub-module 2035 is configured to compare the preset preset biometrics input by the user with the preset biometric template to obtain a third matching degree value of each preset biometric feature;
  • a fourth obtaining sub-module 2036 configured to obtain a target of each preset biometric according to the first matching degree value, the second matching degree value, and a third matching degree value of each of the preset biometrics Matching value
  • the second determining sub-module 2037 is configured to determine a target biometric identification manner according to the target matching degree value of each preset biometric.
  • the identification module 203 is configured to: if the target biometric corresponding to the target biometric identification mode input by the user includes the biometric feature that is predefined by the mobile terminal, the mobile terminal is pre-defined. The biometrics are identified.
  • the mobile terminal is a mobile terminal corresponding to the foregoing method embodiment. All the implementation manners in the foregoing method embodiments are applicable to the mobile terminal embodiment, and the same technical effects can be achieved.
  • the mobile terminal of the embodiment of the present disclosure receives a target operation input by the user, and acquires scene feature information of the environment in which the mobile terminal is located in response to the target operation; and corresponding to the plurality of preset biometric identification modes according to the scene feature information. Identifying a relationship between the conditions, determining at least one target biometric recognition manner from the plurality of preset biometric identification manners, and identifying a target biometric corresponding to the target biometric identification manner input by the user.
  • the target biometric recognition mode is determined according to the scene feature information, and the target biometric recognition method has a higher recognition success rate under the current scene feature information, thereby improving the recognition success rate when the mobile terminal recognizes the biometric.
  • the mobile terminal 400 includes, but is not limited to, a radio frequency unit 401, a network module 402, an audio output unit 403, an input unit 404, a sensor 405, and a display unit. 406.
  • the mobile terminal includes, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palmtop computer, an in-vehicle terminal, a wearable device, a pedometer, and the like.
  • the processor 410 is configured to receive a target operation input by the user, and acquire, according to the target operation, scene feature information of an environment in which the mobile terminal is located; and corresponding to the preset preset biometric identification manner according to the scene feature information. Identifying a relationship between the conditions, determining at least one target biometric recognition manner from the plurality of preset biometric identification manners, and identifying a target biometric feature corresponding to the target biometric feature input by the user;
  • the scene feature information includes at least one of the following parameters:
  • the light intensity of the environment in which the mobile terminal is located the temperature of the environment in which the mobile terminal is located, and various preset biometrics input by the user.
  • the foregoing technical solution of the embodiment of the present disclosure receives a target operation input by a user, and acquires scene feature information of an environment in which the mobile terminal is located in response to the target operation; and corresponding to a plurality of preset biometric identification modes according to the scene feature information. Determining a relationship between the recognition conditions, determining at least one target biometric recognition manner from the plurality of preset biometric identification methods, and identifying a target biometric corresponding to the target biometric recognition mode input by the user .
  • the target biometric recognition mode is determined according to the scene feature information, and the target biometric recognition mode has a higher recognition success rate under the current scene feature information, thereby improving the recognition success rate when the mobile terminal recognizes the biometric.
  • the radio frequency unit 401 can be used for receiving and transmitting signals during the transmission and reception of information or during a call, and specifically, after receiving downlink data from the base station, processing the data to the processor 410; The uplink data is sent to the base station.
  • radio frequency unit 401 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like.
  • the radio unit 401 can also communicate with the network and other devices through a wireless communication system.
  • the mobile terminal provides the user with wireless broadband Internet access through the network module 402, such as helping the user to send and receive emails, browse web pages, and access streaming media.
  • the audio output unit 403 can convert the audio data received by the radio frequency unit 401 or the network module 402 or stored in the memory 409 into an audio signal and output as a sound. Moreover, the audio output unit 403 can also provide audio output (eg, call signal reception sound, message reception sound, etc.) associated with a particular function performed by the mobile terminal 400.
  • the audio output unit 403 includes a speaker, a buzzer, a receiver, and the like.
  • the input unit 404 is for receiving an audio or video signal.
  • the input unit 404 may include a graphics processing unit (GPU) 4041 and a microphone 4042 that images an still picture or video obtained by an image capturing device (such as a camera) in a video capturing mode or an image capturing mode.
  • the data is processed.
  • the processed image frame can be displayed on the display unit 406.
  • the image frames processed by the graphics processor 4041 may be stored in the memory 409 (or other storage medium) or transmitted via the radio unit 401 or the network module 402.
  • the microphone 4042 can receive sound and can process such sound as audio data.
  • the processed audio data can be converted to a format output that can be transmitted to the mobile communication base station via the radio unit 401 in the case of a telephone call mode.
  • the mobile terminal 400 also includes at least one type of sensor 405, such as a light sensor, motion sensor, and other sensors.
  • the light sensor includes an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the display panel 4061 according to the brightness of the ambient light, and the proximity sensor can close the display panel 4061 when the mobile terminal 400 moves to the ear. / or backlight.
  • the accelerometer sensor can detect the magnitude of acceleration in all directions (usually three axes). When it is stationary, it can detect the magnitude and direction of gravity. It can be used to identify the attitude of the mobile terminal (such as horizontal and vertical screen switching, related games).
  • sensor 405 may also include a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, Infrared sensors and the like are not described here.
  • the display unit 406 is for displaying information input by the user or information provided to the user.
  • the display unit 406 can include a display panel 4061.
  • the display panel 4061 can be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED), or the like.
  • the user input unit 407 can be configured to receive input numeric or character information and to generate key signal inputs related to user settings and function control of the mobile terminal.
  • the user input unit 407 includes a touch panel 4071 and other input devices 4072.
  • the touch panel 4071 also referred to as a touch screen, can collect touch operations on or near the user (such as the user using a finger, a stylus, or the like on the touch panel 4071 or near the touch panel 4071. operating).
  • the touch panel 4071 may include two parts of a touch detection device and a touch controller.
  • the touch detection device detects the touch orientation of the user, and detects a signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts the touch information into contact coordinates, and sends the touch information.
  • the processor 410 receives the commands from the processor 410 and executes them.
  • the touch panel 4071 can be implemented in various types such as resistive, capacitive, infrared, and surface acoustic waves.
  • the user input unit 407 may also include other input devices 4072.
  • the other input devices 4072 may include, but are not limited to, a physical keyboard, function keys (such as a volume control button, a switch button, etc.), a trackball, a mouse, and a joystick, and are not described herein again.
  • the touch panel 4071 can be overlaid on the display panel 4061.
  • the touch panel 4071 detects a touch operation thereon or nearby, the touch panel 4071 transmits to the processor 410 to determine the type of the touch event, and then the processor 410 according to the touch.
  • the type of event provides a corresponding visual output on display panel 4061.
  • the touch panel 4071 and the display panel 4061 are two independent components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 4071 can be integrated with the display panel 4061.
  • the input and output functions of the mobile terminal are implemented, and are not limited herein.
  • the interface unit 408 is an interface in which an external device is connected to the mobile terminal 400.
  • the external device may include a wired or wireless headset port, an external power (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, and an audio input/output. (I/O) port, video I/O port, headphone port, and more.
  • the interface unit 408 can be configured to receive input from an external device (eg, data information, power, etc.) and transmit the received input to one or more components within the mobile terminal 400 or can be used at the mobile terminal 400 and externally Data is transferred between devices.
  • Memory 409 can be used to store software programs as well as various data.
  • the memory 409 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application required for at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may be stored according to Data created by the use of the mobile phone (such as audio data, phone book, etc.).
  • memory 409 can include high speed random access memory, and can also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
  • the processor 410 is a control center of the mobile terminal that connects various portions of the entire mobile terminal using various interfaces and lines, by running or executing software programs and/or modules stored in the memory 409, and recalling data stored in the memory 409.
  • the mobile terminal performs various functions and processing data to perform overall monitoring on the mobile terminal.
  • the processor 410 may include one or more processing units; preferably, the processor 410 may integrate an application processor and a modem processor, wherein the application processor mainly processes an operating system, a user interface, an application, etc., and performs modulation and demodulation.
  • the processor primarily handles wireless communications. It can be understood that the above modem processor may not be integrated into the processor 410.
  • the mobile terminal 400 may further include a power source 411 (such as a battery) for supplying power to various components.
  • a power source 411 such as a battery
  • the power source 411 may be logically connected to the processor 410 through a power management system to manage charging, discharging, and power management through the power management system. And other functions.
  • the mobile terminal 400 includes some functional modules not shown, and details are not described herein again.
  • an embodiment of the present disclosure further provides a mobile terminal, including a processor, a memory, a computer program stored on the memory and executable on the processor, and the computer program is implemented by the processor to implement the biometric identification.
  • a mobile terminal including a processor, a memory, a computer program stored on the memory and executable on the processor, and the computer program is implemented by the processor to implement the biometric identification.
  • the embodiment of the present disclosure further provides a computer readable storage medium, where the computer readable storage medium stores a computer program, and when the computer program is executed by the processor, implements various processes of the biometric identification method embodiment, and can achieve the same Technical effects, to avoid repetition, will not be repeated here.
  • the computer readable storage medium such as a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.
  • the foregoing embodiment method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be through hardware, but in many cases, the former is better.
  • Implementation Based on such understanding, the technical solution of the present disclosure, which is essential or contributes to the related art, may be embodied in the form of a software product stored in a storage medium (such as ROM/RAM, disk, CD-ROM).
  • the instructions include a number of instructions for causing a terminal (which may be a cell phone, computer, server, air conditioner, or network device, etc.) to perform the methods described in various embodiments of the present disclosure.

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Abstract

L'invention concerne un procédé de reconnaissance de caractéristique biologique et un terminal mobile. Le procédé de reconnaissance consiste : à recevoir une entrée d'opération cible par un utilisateur (101); à obtenir, en réponse à l'opération cible, des informations de caractéristique de scène de l'environnement où se trouve le terminal mobile (102); et selon une relation entre les informations de caractéristique de scène et des conditions de reconnaissance correspondant à une pluralité de modes de reconnaissance de caractéristique biologique prédéfinis, à déterminer au moins un mode de reconnaissance de caractéristique biologique cible parmi la pluralité de modes de reconnaissance de caractéristique biologique prédéfinis, et à reconnaître des caractéristiques biologiques cibles entrées par l'utilisateur et correspondant aux modes de reconnaissance de caractéristique biologique cible (103).
PCT/CN2019/073670 2018-02-12 2019-01-29 Procédé de reconnaissance de caractéristique biologique et terminal mobile WO2019154184A1 (fr)

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CN109544424B (zh) * 2018-10-27 2024-06-28 平安医疗健康管理股份有限公司 一种基于生物特征识别的住院监管方法及相关设备
CN109740492A (zh) * 2018-12-27 2019-05-10 郑州云海信息技术有限公司 一种身份认证方法和装置
CN110298160A (zh) * 2019-06-28 2019-10-01 联想(北京)有限公司 电子设备以及控制方法
CN110472520B (zh) * 2019-07-24 2022-07-19 维沃移动通信有限公司 一种身份识别方法及移动终端
CN111368921A (zh) * 2020-03-05 2020-07-03 中国工商银行股份有限公司 多模态生物识别方法及装置
CN111416766B (zh) * 2020-03-23 2022-10-14 维沃移动通信有限公司 信息发布方法及电子设备
CN112434274A (zh) * 2020-12-09 2021-03-02 建信金融科技有限责任公司 一种身份识别方法、装置、电子设备及存储介质

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