CN113312944A - Image acquisition method, calibration method, under-screen fingerprint identification device and mobile terminal - Google Patents
Image acquisition method, calibration method, under-screen fingerprint identification device and mobile terminal Download PDFInfo
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- CN113312944A CN113312944A CN202010123503.3A CN202010123503A CN113312944A CN 113312944 A CN113312944 A CN 113312944A CN 202010123503 A CN202010123503 A CN 202010123503A CN 113312944 A CN113312944 A CN 113312944A
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
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- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
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Abstract
The disclosure provides an image acquisition method, a calibration method, an under-screen fingerprint identification device and a mobile terminal. The image acquisition method of fingerprint under the screen is used for acquiring the background noise image of the fingerprint signal identified by the fingerprint identification module below the display screen component. The image acquisition method comprises the following steps: and outputting analog light to the display screen assembly. Collecting the light intensity of the analog light through an optical sensor; for the fingerprint identification module carries out the discernment of simulation fingerprint signal and provides the light source. The display screen assembly receives the analog fingerprint signal, and the analog fingerprint signal is identified through the fingerprint identification module to acquire an analog fingerprint image. Noise points of the simulated fingerprint image are extracted to form a background noise image, and the background noise image is paired with the light intensity of the simulated light collected by the optical sensor to form a noise image database. The standard fingerprint image output by eliminating interference light interference has high definition and good imaging effect.
Description
Technical Field
The disclosure belongs to the technical field of fingerprint identification, and relates to an image acquisition method, a calibration method, an under-screen fingerprint identification device and a mobile terminal.
Background
The mobile terminal such as a mobile phone or a tablet computer is provided with a fingerprint identification module for executing a corresponding fingerprint identification function. In the related art, the fingerprint recognition module may adopt a camera recognition scheme, for example, the fingerprint recognition module is installed on the back of a middle frame of the mobile terminal, and light transmission holes are formed at the middle frame and a backlight iron frame of the display screen assembly, so that a light source of the fingerprint recognition module can transmit a current fingerprint signal of the display screen assembly through the light transmission holes. The sensor of the fingerprint identification module receives light from the current fingerprint signal direction to form corresponding fingerprint image information.
However, the mobile terminal is located in a lighting environment having a light component that can be recognized by the sensor, and the light component that is irradiated to the sensor interferes with the generation of the fingerprint image information. Especially, under the condition that the ambient illumination environment intensity is high, the identification efficiency of the fingerprint identification device under the screen is low, and the interference of ambient light is large.
Disclosure of Invention
In view of the above, the present disclosure provides an image acquisition method, a calibration method, an under-screen fingerprint identification apparatus, and a mobile terminal.
Specifically, the present disclosure is realized by the following technical solutions:
according to a first aspect of the embodiments of the present disclosure, there is provided an image capturing method for an off-screen fingerprint, the method being used for capturing a background noise image of a fingerprint signal recognized by a fingerprint recognition module below a display screen assembly, the image capturing method including:
receiving analog light of different light intensities from the outside; collecting the light intensity of the analog light through an optical sensor;
providing a light source for the fingerprint identification module to identify the analog fingerprint signal;
identifying the analog fingerprint signal received by the display screen assembly through a fingerprint identification module to acquire an analog fingerprint image;
noise points of the simulated fingerprint image are extracted to form a background noise image, and the background noise image is paired with the light intensity of the simulated light collected by the optical sensor to form a noise image database.
In one embodiment, said outputting analog light in a direction toward said display screen assembly comprises:
and outputting analog light with the same light intensity to the detection area where the optical sensor is located and the identification area where the fingerprint identification module is located, wherein the detection area and the identification area are arranged at intervals.
In one embodiment, when the intensity of the analog light output toward the display screen assembly is zero, noise points of the analog fingerprint image are extracted to generate a background noise image corresponding to the light source.
In one embodiment, the extracting noise points of the analog fingerprint image to form a background noise image comprises:
removing the fingerprint pattern in the simulated fingerprint image;
and generating a background noise image according to the residual noise points of the analog fingerprint image.
According to a second aspect of the embodiments of the present disclosure, a calibration method for a fingerprint under a screen is provided, which is used for calibrating a fingerprint signal identified by a fingerprint identification module under a display screen component, and the calibration method includes:
configuring a noise image database as described above, where the noise image database includes a light intensity threshold of analog light and a background noise image corresponding to the light intensity threshold, where the light intensity of the analog light is a light intensity of disturbance light formed by light components that can be recognized by a fingerprint recognition module in an environment where the display screen assembly is located;
providing a light source for the fingerprint identification module to identify the current fingerprint signal;
identifying the current fingerprint signal received by the display screen assembly to acquire an initial fingerprint image;
detecting the light intensity of interference light of the environment where the display screen component is located through an optical sensor;
comparing the light intensity of the disturbing light with the light intensity threshold to obtain a background noise image corresponding to the light intensity of the disturbing light; and subtracting the value according to the initial fingerprint image and the background noise image to obtain a calibration fingerprint image.
In one embodiment, the light source is set as a standard light ray recognized by the fingerprint recognition module; or, the light source is set as backlight light output from the display screen assembly.
According to a third aspect of the embodiments of the present disclosure, there is provided an underscreen fingerprint identification apparatus for calibrating a fingerprint signal identified by a fingerprint identification module below a display screen assembly, the underscreen fingerprint identification apparatus including;
the storage module is used for configuring the noise image database, and the noise image database comprises a light intensity threshold value of analog light and a background noise image corresponding to the light intensity threshold value, wherein the light intensity of the analog light is the light intensity of interference light formed by light ray components which can be identified by the fingerprint identification module in the environment where the display screen assembly is located;
the fingerprint light source assembly is used for providing a light source for the fingerprint identification module to identify the current fingerprint signal;
the fingerprint identification module is used for identifying the current fingerprint signal received by the display screen assembly so as to acquire an initial fingerprint image;
the light source correction assembly is used for detecting the light intensity of interference light of the environment where the display screen assembly is located through an optical sensor;
the control module is in communication connection with the storage module, the fingerprint identification module and the light source correction assembly and is used for comparing the light intensity of the interference light with the light intensity threshold value so as to obtain a background noise image corresponding to the light intensity of the interference light; and subtracting the value according to the initial fingerprint image and the background noise image to obtain a calibration fingerprint image.
In one embodiment, the fingerprint light source assembly and the light source correction assembly are spaced apart from each other relative to the display screen assembly.
In one embodiment, the light source modification component is an ambient light sensor.
In one embodiment, the light source is set to be a standard light output from the fingerprint light source component; or, the light source is set to backlight light output by the display screen assembly.
According to a fourth aspect of the embodiments of the present disclosure, there is provided a mobile terminal, including:
a processor;
a memory for storing processor-executable instructions;
the mobile terminal further comprises the under-screen fingerprint identification device.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
the environment where the simulated light simulation display screen component is located can be interfered by the fingerprint identification module, and the interference light of each light intensity is paired with the corresponding background noise image one by one to form a noise image database. The initial fingerprint image of fingerprint identification module discernment and background noise image subtract value operation through built-in procedure to obtain clear standard fingerprint image, get rid of the interference of disturbing light, fingerprint identification is effectual, and the formation of image is effectual.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
Fig. 1 is a flowchart illustrating an image capturing method of an off-screen fingerprint recognition apparatus according to an exemplary embodiment.
FIG. 2 is a schematic diagram illustrating a process for extracting noise points from an analog fingerprint image to form a background noise image according to an exemplary embodiment.
Fig. 3 is a flowchart illustrating a calibration method of an off-screen fingerprint identification device according to an example embodiment.
FIG. 4 is a schematic diagram illustrating the identification of a current fingerprint signal by an off-screen fingerprint identification device according to an exemplary embodiment.
Fig. 5 is a schematic block diagram of a mobile terminal shown in accordance with an example embodiment.
Wherein, the display screen assembly 10; a fingerprint recognition module 20; a fingerprint light source assembly 30; a light source correction assembly 40; a silica gel mold 50; the disturbing light 60; a mobile terminal 70; a processing assembly 71; a memory 72; a power supply assembly 73; a multimedia component 74; an audio component 75; an input/output (I/O) interface 76; a sensor assembly 77; a communication component 78; a processor 79; an ambient light beam 100; the light environment 200 is illuminated.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present disclosure. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
As shown in fig. 1, the present disclosure provides an image collecting method of an off-screen fingerprint for collecting a background noise image of a fingerprint signal identified by a fingerprint identification module below a display screen assembly. The image acquisition method comprises the following steps:
step S101, analog light of different light intensities is received from the outside. The wavelength of the analog light is the same as the wavelength of the light recognized by the fingerprint recognition module 20 in the environment light where the display screen assembly 10 is located, that is, the analog light simulates the interference light of the fingerprint recognition module in the environment where the display screen assembly is located. For example, the simulated light simulates sunlight with controllable illumination intensity, and the interference light 60 in the simulated light can be identified by the fingerprint identification module 20. Alternatively, the analog light is the light that can be identified by the fingerprint identification module 20 in the ambient light, and for example, the analog light is the infrared light output by the infrared lamp. The illumination intensity of the analog light output is controllable, so that the light intensity threshold of the interference light can be conveniently obtained. For example, the intensity of the analog light output is the same as the disturbing light intensity threshold.
And S102, collecting the light intensity of the analog light through an optical sensor. The optical sensor is capable of detecting the light intensity of the simulated light irradiated on the display screen assembly, and the light intensity is a real-time numerical value of the simulated light received by the display screen assembly.
Step S103, for the fingerprint identification module carries out the identification of simulating the fingerprint signal and provides the light source. The silicone rubber model 50 made according to the finger shape is pressed on the surface of the display screen component 10 to generate an analog fingerprint signal. The light source is to the corresponding light of simulation fingerprint signal direction output to improve the degree of discernment of fingerprint identification module 20 to simulation fingerprint signal. It should be noted that the illumination intensity output by the light source is kept consistent, and accordingly, the simulated fingerprint images obtained by the fingerprint identification module 20 under the light source illumination are consistent. In an optional embodiment, the light source is set to be a standard light recognized by the fingerprint recognition module 20, for example, if the fingerprint recognition module 20 can receive infrared light, the light source is set to be an infrared lamp capable of outputting 940 nm. In another alternative embodiment, the light source is configured as backlight light output from the display screen assembly 10, wherein the backlight light may be configured as visible light.
And step S104, identifying the analog fingerprint signal received by the display screen component through a fingerprint identification module so as to acquire an analog fingerprint image. The silica gel model 50 is made to press on the surface of the display screen component 10 to generate an analog fingerprint signal according to the shape of the finger, and the analog light and the light source irradiate the analog fingerprint signal output by the silica gel model 50. The fingerprint recognition module 20 can recognize the light emitted from the silica gel model 50 and generate a corresponding simulated fingerprint image.
Step S105, extracting noise points of the simulated fingerprint image to form a background noise image, and matching the background noise image with the light intensity of the simulated light collected by the optical sensor to form a noise image database.
After obtaining the corresponding analog fingerprint image, extracting the noise points in the analog fingerprint image according to a built-in program to form a background noise image. The background noise image is formed under the illumination of the light intensity of the current analog light, and the background noise image and the light intensity of the analog light are paired to form a corresponding correlation relationship. The different light intensities are divided to form a graded light intensity range. The intensity of each disturbing light corresponds to the background noise image to form a noise image database with intensity gradations.
The fingerprint recognition module 20 can output the background noise image corresponding to the light intensity of the current analog light, and the light intensity is set in a database in a grading manner, wherein the light intensity at the grading position is the light intensity threshold of the interference light, and the background noise image corresponds to the light intensity threshold of the interference light in a matching relationship.
In step S101, analog light of different light intensities is received from the outside. Analog light with the same light intensity is output to the detection area where the optical sensor is located and the identification area where the fingerprint identification module 20 is located, wherein the detection area and the identification area are arranged at intervals.
The detection area where the optical sensor is located for detecting the light intensity of the analog light and the identification area of the fingerprint identification module 20 are arranged at intervals; the light intensity output from the analog light to the detection area and the identification area is the same, so that the light intensity received by the optical sensor and the fingerprint identification module 20 is the same. The detection area sets up with the regional interval of discernment, can avoid discernment regional light to influence the detection of light in the detection area, improves the accuracy that light detected in the detection area. Alternatively, the detection area is set to be an area where an existing sensing component of the mobile terminal is located, for example, the detection area is set to be an area where a P-sensor capable of sensing the ambient light intensity is located. Wherein, detect the light intensity that can be carried out the corresponding component in the present ambient light of simulating fingerprint signal identification by fingerprint identification module 20, the illumination intensity that optical sensor detected is the light intensity of disturbing light 60 promptly.
As shown in fig. 2, in step S105, the extracting noise points of the analog fingerprint image to form a background noise image includes the following steps:
step S201, removing the fingerprint pattern in the simulated fingerprint image.
And step S202, generating a background noise image according to the residual noise point information of the analog fingerprint image.
The simulated fingerprint image contains fingerprint patterns and noise point information, and the fingerprint patterns in the simulated fingerprint image are removed to leave the noise point information because the simulated fingerprint images are determined by the fingerprint patterns of the silica gel model 50 made according to the shapes of the fingers. The noise point information is operated by a built-in program to generate a corresponding background noise image.
In an embodiment, when the light intensity of the analog light output to the display screen assembly is zero, the analog fingerprint image identified by the fingerprint identification module 20 is the analog fingerprint image provided by the light source, and is not interfered by the ambient light. Extracting noise points of the simulated fingerprint image to generate a background noise image corresponding to the light source. And if the light intensity of the light source is not changed, the background noise image generated by the light source is a fixed noise point.
Alternatively, the background noise image employed in the noise image database may be set as a background noise image formed by removing noise point information of disturbance light after the noise point of the light source. Alternatively, the background noise image employed in the noise image database may be set as a background noise image formed by coexistence of the noise point of the light source and the noise point information of the disturbance light.
The noise image database acquired and formed by the image acquisition method of the off-screen fingerprint in the embodiment is applied to the calibration method of the off-screen fingerprint so as to improve the definition and the accuracy of the calibrated fingerprint image.
As shown in fig. 3, the present disclosure provides a calibration method for an off-screen fingerprint, which is used to calibrate a fingerprint signal identified by the fingerprint identification module 20 below the display screen assembly 10. The calibration method comprises the following steps:
step S301, configuring a noise image database as disclosed in the above embodiments, where the noise image database includes a light intensity threshold of analog light and a background noise image corresponding to the light intensity threshold, where the light intensity of the analog light is the light intensity of disturbance light formed by light rays recognizable by the fingerprint recognition module in an environment where the display screen assembly is located. For example, the fingerprint identification module 20 can identify infrared light or visible light, and the ambient light including infrared light, visible light, etc. is the interference light 60. The disturbing light 60 is recognized by the fingerprint recognition module 20, and the illuminance of the disturbing light is stored in the noise image database as a corresponding background noise image.
Step S302, providing a light source for the fingerprint identification module 20 to identify the current fingerprint signal. The user's finger portion engages the identification area of the display screen assembly 10 to activate the current fingerprint signal. The light source is to the corresponding light of present fingerprint signal direction output to improve the degree of discernment of fingerprint identification module 20 to present fingerprint signal. It should be noted that the illumination intensity output by the light source is kept consistent, and accordingly, the fingerprint images obtained by the fingerprint identification module 20 under the light source illumination are consistent. In an optional embodiment, the light source is set to be a standard light recognized by the fingerprint recognition module 20, for example, if the fingerprint recognition module 20 can receive infrared light, the light source is set to be an infrared lamp capable of outputting 940 nm. In another alternative embodiment, the light source is configured as backlight light output from the display screen assembly 10, wherein the backlight light may be configured as visible light.
Step S303, identifying the current fingerprint signal received by the display screen assembly 10 to obtain an initial fingerprint image. Fingerprint identification module 20 can receive the present fingerprint signal and shine the signal of telecommunication that forms under light source and disturbing light 60 common, and this signal of telecommunication output is initial fingerprint image correspondingly.
Step S304, detecting the light intensity of the interference light of the environment where the display screen assembly 10 is located by the optical sensor. If the mobile terminal is in different use environments, the ambient illumination intensity is different. The intensity of the disturbing light 60 of the environment in which the display screen assembly 10 is located is detected in this step to obtain a corresponding background noise image in a noise image database. The intensity of the disturbing light refers to the illumination intensity of the disturbing light 60 detected by the optical sensor in the current use environment of the display screen assembly 10.
Step S305, comparing the disturbing light intensity with the light intensity threshold to obtain a background noise image corresponding to the light intensity of the disturbing light. And subtracting the value according to the initial fingerprint image and the background noise image to obtain a calibration fingerprint image.
In step S304, the intensity of the disturbing light is detected to obtain a specific value parameter, and the value parameter is compared with the intensity threshold of the disturbing light to determine the intensity threshold corresponding to the disturbing light. For example, the threshold value of the intensity of the disturbing light is set to 2W lux, 5W lux, 8W lux, 10W lux, and 12W lux. When the value parameter obtained by detecting the light intensity of the disturbing light is 4W lux, and the value parameter is in the range of the light intensity threshold value of the disturbing light of 2W lux and 5W lux, the background noise image matched with the light intensity threshold value of 5W lux is obtained.
After obtaining the corresponding background noise image, the initial fingerprint image and the background noise image are calibrated and calculated according to a built-in program to obtain a calibrated fingerprint image. For example, the initial fingerprint image and the background noise image are subjected to a calculation method such as subtraction operation, so that the interference caused by the interference light 60 is reduced, and the definition and the accuracy of the calibration fingerprint image are improved.
In step S304, the mobile terminal needs to detect the light intensity of the interference light 60 in the environment, and the detection area is within the detection range of the mobile terminal. In the detection mode of step S304, a detection area for detecting the light intensity of the interference light and an identification area of the fingerprint identification module 20 are set at an interval; the detection area and the identification area have the same light intensity of the interference light. The detection area sets up with the regional interval of discernment, can avoid discernment regional light to influence the detection of light in the detection area, improves the accuracy that light detected in the detection area. Alternatively, the detection area is set to be an area where an existing sensing component of the mobile terminal is located, for example, the detection area is set to be an area where a P-sensor capable of sensing the ambient light intensity is located. Wherein, detect can by the illumination intensity of corresponding component in the current environment light that fingerprint identification module 20 carried out current fingerprint signal identification, the illumination intensity who detects is the illumination intensity of disturbing light 60 promptly.
Corresponding to the embodiment of the calibration method of the under-screen fingerprint identification device, the invention also provides an embodiment of the under-screen fingerprint identification device based on the calibration method. The calibration method of the under-screen fingerprint identification device is applied to the mobile terminal, so that the mobile terminal can obtain a clear and accurate calibration fingerprint image through the under-screen fingerprint identification device.
As shown in fig. 4, the present disclosure provides an apparatus for identifying fingerprints under a screen, which is used to calibrate the fingerprint signal identified by the fingerprint identification module 20 below the display screen assembly 10. Fingerprint identification device under screen includes storage module, fingerprint light source subassembly 30, fingerprint identification module 20, light source correction subassembly 40 and control module, control module with storage module, fingerprint identification module 20 and light source correction subassembly 40 communication connection. The storage module is used to configure a noise image database as disclosed in the above embodiments, which includes light intensity thresholds of simulated light and background noise images corresponding to the light intensity thresholds. The light intensity of the analog light is the light intensity of the interference light formed by the light components identified by the fingerprint identification module 20 in the environment where the display screen assembly 10 is located. Fingerprint light source subassembly 30 is used for doing fingerprint identification module 20 carries out the discernment of current fingerprint signal and provides the light source. Fingerprint identification module 20 is used for right the current fingerprint signal that display screen subassembly 10 received discerns to acquire initial fingerprint image. The light source modification assembly 40 is used for detecting the intensity of the interference light of the environment where the display screen assembly 10 is located through an optical sensor.
The control module is used for comparing the light intensity of the interference light with the light intensity threshold value to obtain a background noise image corresponding to the light intensity of the interference light. The control module subtracts the value calculation according to the initial fingerprint image and the background noise image to obtain a calibration fingerprint image.
The light intensity threshold of the disturbing light divides the different light intensities to form a graded light intensity range. Each disturbing light intensity threshold is assigned a corresponding background noise image such that the display screen assembly 10 has a corresponding background noise image in different ambient lighting environments. The control module is in communication connection with the storage module and can read corresponding data of the noise image database.
The user's finger portion engages the identification area of the display screen assembly 10 to activate the current fingerprint signal. Fingerprint light source subassembly 30 is to the corresponding light of present fingerprint signal direction output to improve the degree of discernment of fingerprint identification module 20 to current fingerprint signal. It should be noted that the illumination intensity of the light output by the fingerprint light source assembly 30 is kept consistent, and accordingly, the fingerprint image obtained by the fingerprint identification module 20 under the light source irradiation is consistent. In an optional embodiment, the standard light that is discerned by fingerprint identification module 20 is exported to fingerprint light source module 30, for example, fingerprint light source module 30 sets up the infrared lamp of output 940nm infrared light, and this light shines in user's finger position, and fingerprint identification module 20 can receive the infrared light that corresponds the transmission from finger position. In another alternative embodiment, the light source is configured as backlight light output from the display screen assembly 10, wherein the backlight light may be configured as visible light.
The light source modification assembly 40 is in communication with the control module to transmit the detected intensity of the disturbing light to the control module. The control module reads the noise image database of the storage module according to the light intensity of the disturbance light detected by the light source correction assembly 40 to obtain a background noise image matching the light intensity of the disturbance light.
The control module carries out calibration calculation on the background noise image and the initial fingerprint image according to a built-in program to obtain a calibration fingerprint image, the influence of the interference light 60 is eliminated by the calibration fingerprint image, and the fingerprint identification effect is good. For example, the initial fingerprint image and the background noise image are subjected to a calculation method such as subtraction operation to eliminate interference caused by the interference light 60, thereby improving the definition and accuracy of the calibration fingerprint image.
In this embodiment, the fingerprint light source assembly 30 and the fingerprint identification module 20 are located below the display screen assembly 10, for example, the fingerprint identification module 20 faces the display screen assembly 10 to receive and acquire a corresponding current fingerprint signal. Fingerprint light source subassembly 30 is located one side of fingerprint identification module 20 to can provide light for current fingerprint signal. In one embodiment, the fingerprint light source assembly 30 and the light source modification assembly 40 are spaced apart relative to the display screen assembly 10. The light source correction assembly 40 and the fingerprint light source assembly 30 are arranged at intervals, so that the light output by the fingerprint light source assembly 30 can be prevented from interfering the light intensity of the interference light detected by the light source correction assembly 40, and the detection accuracy of the light source correction assembly 40 is improved. Optionally, the light source modification assembly 40 is located at one side of the fingerprint identification module 20 and is capable of independently detecting the intensity of the interference light.
Alternatively, the light source correction member 40 is provided as a photosensitive member configured with the mobile terminal. For example, the light source correction assembly 40 is an ambient light sensor (P-sensor). The P-sensor is an existing component of the mobile terminal, no additional accessory is needed, and the influence on the overall layout of the mobile terminal is small. The control module can directly acquire the light intensity of the interference light detected by the P-sensor, and data acquisition is convenient. The light source correction component 40 detects the illumination intensity of the corresponding component in the current ambient light that can be identified by the fingerprint identification module 20, wherein the illumination intensity detected by the light source correction component 40 is the illumination intensity of the interference light 60.
The under-screen fingerprint identification device disclosed by the embodiment is applied to the mobile terminal, so that the fingerprint identification function of the mobile terminal is accurate, the response timeliness is good, and the influence of the interference light 60 is reduced. In one embodiment, the mobile terminal includes: a processor; a memory for storing processor-executable instructions; wherein, the mobile terminal further comprises the under-screen fingerprint identification device disclosed in the above embodiment.
As shown in fig. 5, the mobile terminal may be provided as various electronic devices, for example, the mobile terminal 70 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, a translator, or the like.
The mobile terminal 70 may include one or more of the following components: processing components 71, memory 72, power components 73, multimedia components 74, audio components 75, input/output (I/O) interfaces 76, sensor components 77, and communication components 78.
The processing component 71 generally controls overall operation of the mobile terminal 70, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 71 may include one or more processors 79 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 71 may include one or more modules that facilitate interaction between the processing component 71 and other components. For example, the processing component 71 may include a multimedia module to facilitate interaction between the multimedia component 74 and the processing component 71.
The memory 72 is configured to store various types of data to support operations at the mobile terminal 70. Examples of such data include instructions for any application or method operating on mobile terminal 70, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 72 may be implemented by any type or combination of volatile or non-volatile memory devices, such as static random access memory 72(SRAM), electrically erasable programmable read-only memory 72(EEPROM), erasable programmable read-only memory 72(EPROM), programmable read-only memory 72(PROM), read-only memory 72(ROM), magnetic memory 72, flash memory 72, a magnetic or optical disk.
The power supply component 73 provides power to the various components of the mobile terminal 70. The power components 73 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the mobile terminal 70.
The multimedia component 74 includes a screen that provides an output interface between the mobile terminal 70 and the user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 74 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the mobile terminal 70 is in an operation mode, such as a photographing mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 75 is configured to output and/or input audio signals. For example, the audio component 75 may include a Microphone (MIC) configured to receive external audio signals when the mobile terminal 70 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 72 or transmitted via the communication component 78. In some embodiments, audio assembly 75 also includes a speaker for outputting audio signals.
An input/output (I/O) interface 76 provides an interface between the processing component 71 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor assembly 77 includes one or more sensors for providing various aspects of status assessment for the mobile terminal 70. For example, the sensor assembly 77 may detect an open/closed state of the device, the relative positioning of the components, such as a display and keypad of the mobile terminal 70, the sensor assembly 77 may also detect a change in the position of the mobile terminal 70 or a component of the mobile terminal 70, the presence or absence of user contact with the mobile terminal 70, orientation or acceleration/deceleration of the mobile terminal 70, and a change in the temperature of the mobile terminal 70. The sensor assembly 77 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 77 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 77 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 78 is configured to facilitate communications between the mobile terminal 70 and other devices in a wired or wireless manner. The mobile terminal 70 may access a wireless network based on a communication standard, such as WiFi, 2G, 4G, 5G, or a combination thereof. In an exemplary embodiment, the communication component 78 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 78 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the mobile terminal 70 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs) 79, Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors 79 or other electronic components for performing the above-described methods.
The present disclosure is to be considered as limited only by the preferred embodiments and not limited to the specific embodiments described herein, and all changes, equivalents, and modifications that come within the spirit and scope of the disclosure are desired to be protected.
Claims (11)
1. The utility model provides an image acquisition method of fingerprint under screen for gather the background noise image of the fingerprint signal of fingerprint identification module discernment below the display screen subassembly, its characterized in that, image acquisition method includes:
receiving analog light of different light intensities from the outside;
collecting the light intensity of the analog light through an optical sensor;
providing a light source for the fingerprint identification module to identify the analog fingerprint signal;
identifying the analog fingerprint signal received by the display screen assembly through a fingerprint identification module to acquire an analog fingerprint image;
noise points of the simulated fingerprint image are extracted to form a background noise image, and the background noise image is paired with the light intensity of the simulated light collected by the optical sensor to form a noise image database.
2. The image capture method of claim 1, wherein said outputting simulated light in a direction toward said display screen assembly comprises:
and outputting analog light with the same light intensity to the detection area where the optical sensor is located and the identification area where the fingerprint identification module is located, wherein the detection area and the identification area are arranged at intervals.
3. The image capturing method as claimed in claim 1, wherein when the intensity of the analog light outputted toward the display screen assembly is zero, the noise point of the analog fingerprint image is extracted to generate a background noise image corresponding to the light source.
4. The method of claim 1, wherein the extracting noise points of the simulated fingerprint image to form a background noise image comprises:
removing the fingerprint pattern in the simulated fingerprint image;
and generating a background noise image according to the residual noise points of the analog fingerprint image.
5. The utility model provides a calibration method of fingerprint under screen for the fingerprint signal to the fingerprint identification module discernment of display screen subassembly below calibrates, its characterized in that, calibration method includes:
configuring a database of noise images according to any one of claims 1 to 4, the database of noise images comprising a threshold light intensity of simulated light and a background noise image corresponding to the threshold light intensity, wherein the simulated light intensity is an intensity of disturbance light formed by light components in the environment in which the display screen assembly is located and which are recognizable by the fingerprint recognition module;
providing a light source for the fingerprint identification module to identify the current fingerprint signal;
identifying the current fingerprint signal received by the display screen assembly to acquire an initial fingerprint image;
detecting the light intensity of interference light of the environment where the display screen component is located through an optical sensor;
comparing the light intensity of the disturbing light with the light intensity threshold to obtain a background noise image corresponding to the light intensity of the disturbing light; and subtracting the value according to the initial fingerprint image and the background noise image to obtain a calibration fingerprint image.
6. The calibration method according to claim 5, wherein the light source is a standard light recognized by the fingerprint recognition module; or, the light source is set as backlight light output from the display screen assembly.
7. A screen fingerprint identification device is used for calibrating fingerprint signals identified by a fingerprint identification module below a display screen component and is characterized by comprising a screen fingerprint identification device and a display screen component, wherein the screen fingerprint identification device comprises a fingerprint identification module;
a storage module configured to store a noise image database according to any one of claims 1 to 4, the noise image database including a light intensity threshold of simulated light and a background noise image corresponding to the light intensity threshold, wherein the light intensity of the simulated light is a light intensity of disturbance light formed by light components in an environment in which the display screen assembly is located and which can be recognized by the fingerprint recognition module;
the fingerprint light source assembly is used for providing a light source for the fingerprint identification module to identify the current fingerprint signal;
the fingerprint identification module is used for identifying the current fingerprint signal received by the display screen assembly so as to acquire an initial fingerprint image;
the light source correction assembly is used for detecting the light intensity of interference light of the environment where the display screen assembly is located through an optical sensor;
the control module is in communication connection with the storage module, the fingerprint identification module and the light source correction assembly and is used for comparing the light intensity of the interference light with the light intensity threshold value so as to obtain a background noise image corresponding to the light intensity of the interference light; and subtracting the value according to the initial fingerprint image and the background noise image to obtain a calibration fingerprint image.
8. The device of claim 7, wherein the fingerprint light source assembly and the light source modification assembly are spaced apart relative to the display screen assembly.
9. The device of claim 8, wherein the light source modification component is configured as an ambient light sensor.
10. The device according to claim 7, wherein the light source is set to a standard light output from the fingerprint light source assembly; or, the light source is set to backlight light output by the display screen assembly.
11. A mobile terminal, characterized in that the mobile terminal comprises:
a processor;
a memory for storing processor-executable instructions;
wherein the mobile terminal further comprises an underscreen fingerprint identification apparatus according to any one of claims 7 or 10.
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