CN111507133B

CN111507133B - Fingerprint identification calibration method and device

Info

Publication number: CN111507133B
Application number: CN201910100075.XA
Authority: CN
Inventors: 李洪鹏; 于磊
Original assignee: Beijing Xiaomi Mobile Software Co Ltd
Current assignee: Beijing Xiaomi Mobile Software Co Ltd
Priority date: 2019-01-31
Filing date: 2019-01-31
Publication date: 2024-02-27
Anticipated expiration: 2039-01-31
Also published as: CN111507133A

Abstract

The disclosure relates to a fingerprint identification calibration method and device. The fingerprint detection device is applied to a terminal provided with an LCD display screen, wherein the LCD display screen comprises a fingerprint module and a display assembly, the display assembly comprises a glass cover plate, a display panel, a first prism film, a second prism film and an LCD backlight module which are sequentially arranged, light emitted by the LCD backlight module comprises infrared light, and a fingerprint detection area is arranged on the glass cover plate; the method comprises the following steps: acquiring first imaging information, wherein the first imaging information is generated by a fingerprint module of a terminal to be tested when a fingerprint detection area of the terminal to be tested is pressed by a first model; acquiring compensation information of a fingerprint module of a terminal to be tested; and calibrating the first imaging information according to the compensation information. According to the technical scheme, the first imaging information is calibrated according to the compensation information, so that the calibration of fingerprint identification of the terminal to be tested is realized, and the fingerprint identification precision is improved.

Description

Fingerprint identification calibration method and device

Technical Field

The disclosure relates to the technical field of terminals, and in particular relates to a fingerprint identification calibration method and device.

Background

Along with the continuous development of communication technology, large-screen terminals are also continuously popularized, and the screen occupation ratio of the terminals is higher and higher, so that the fingerprint sensors, cameras and the like of the terminals start to develop under-screen technology. The terminal provided with the LCD display screen can not use a common optical fingerprint device due to the limited light emitting mode and structure of the LCD display screen, and an under-screen fingerprint device using infrared light as a detection signal source is arranged, and the infrared light can penetrate through the LCD display screen, so that the under-screen fingerprint device based on the infrared light is possible, and fingerprint identification is realized by combining with a fingerprint detection area on a glass cover plate of the LCD display screen. And the first prism film and the second prism film which are vertical to each other are arranged between the backlight module and the liquid crystal panel in the LCD display screen, the fingerprint device under the screen is arranged between the second prism film and the backlight module, and the infrared light emitted by the backlight module finally forms a mesh image on the fingerprint device under the screen after being reflected by the fingerprint, so that fingerprint identification is realized.

In the related art, when the under-screen fingerprint device is set, due to the influence of factors such as process and equipment precision, the distance between the under-screen fingerprint device and the second prism film of each terminal can be caused, the grating pitch between adjacent prisms in the prism film is different, and the under-screen fingerprint device and the fingerprint detection area are not corresponding and have deviation, so that the mesh image formed on the under-screen fingerprint device is different finally.

Disclosure of Invention

In order to overcome the problems in the related art, embodiments of the present disclosure provide a calibration method and apparatus for fingerprint identification. The technical scheme is as follows:

according to a first aspect of embodiments of the present disclosure, a calibration method for fingerprint identification is provided, and the calibration method is applied to a terminal configured with an LCD display screen, where the LCD display screen includes a fingerprint module and a display assembly, the display assembly includes a glass cover plate, a display panel, a first prism film, a second prism film and an LCD backlight module that are sequentially set, light emitted by the LCD backlight module includes infrared light, a fingerprint detection area corresponding to the fingerprint module is provided on the glass cover plate, and the fingerprint module is located at a side of the second prism film away from the first prism film; the method comprises the following steps:

Acquiring first imaging information, wherein the first imaging information is generated by a fingerprint module of a terminal to be detected when a first model is adopted to press the fingerprint detection area of the terminal to be detected;

acquiring compensation information of a fingerprint module of the terminal to be tested;

and calibrating the fingerprint module of the terminal to be tested according to the first imaging information and the compensation information.

The technical scheme provided by the embodiment of the disclosure can comprise the following beneficial effects: when the fingerprint module of the terminal to be tested needs to be calibrated, a user can press the first model in the fingerprint detection area of the terminal to be tested, so that infrared light emitted by the LCD backlight module is reflected to the fingerprint module through the first model, further first imaging information generated by the fingerprint module can be obtained, and when compensation information of the fingerprint module of the terminal to be tested is obtained, the first imaging information is calibrated according to the compensation information, calibration of fingerprint identification of the terminal to be tested is achieved, and fingerprint identification precision is improved.

In one embodiment, before the acquiring the first imaging information, the method further includes:

and determining the compensation information of the fingerprint module of the terminal to be tested.

In one embodiment, the determining the compensation information of the fingerprint module of the terminal to be tested includes:

Acquiring second imaging information; the second imaging information is generated by pressing the fingerprint module of the terminal to be detected in the fingerprint detection area of the terminal to be detected by adopting a second model;

acquiring reference imaging information; the reference imaging information is generated by a fingerprint module of the standard terminal when the second model is adopted to press the fingerprint detection area of the standard terminal;

and determining the compensation information according to the second imaging information and the reference imaging information.

In one embodiment, the acquiring the reference imaging information includes:

acquiring the position of each pixel point and the brightness value corresponding to each pixel point in a first image generated by a fingerprint module of the standard terminal;

the acquiring the second imaging information includes:

acquiring the position of each pixel point and the brightness value corresponding to each pixel point in a second image generated by the fingerprint module of the terminal to be tested;

the determining the compensation information from the second imaging information and the reference imaging information includes:

determining a reference imaging matrix according to the position of each pixel point in the first image and the brightness value corresponding to each pixel point;

determining a first imaging matrix according to the position of each pixel point in the second image and the brightness value corresponding to each pixel point;

And determining a compensation value according to the reference imaging matrix and the first imaging matrix.

In one embodiment, the acquiring the first imaging information includes:

acquiring the position of each pixel point and the brightness value corresponding to each pixel point in a third image generated by a fingerprint module of the terminal to be tested;

the calibrating the first imaging information according to the compensation information includes:

determining a second imaging matrix according to the position of each pixel point in the third image and the brightness value corresponding to each pixel point;

and calibrating the second imaging matrix according to the compensation value.

According to a second aspect of embodiments of the present disclosure, there is provided a calibration device for fingerprint identification, comprising:

the first acquisition module is used for acquiring first imaging information, wherein the first imaging information is generated by a fingerprint module of the terminal to be detected when the fingerprint detection area of the terminal to be detected is pressed by adopting a first model;

the second acquisition module is used for acquiring the compensation information of the fingerprint module of the terminal to be tested;

and the calibration module is used for calibrating the first imaging information according to the compensation information.

In one embodiment, the method further comprises a determining module;

and the determining module is used for determining the compensation information of the fingerprint module of the terminal to be tested.

In one embodiment, the determining module includes a first acquiring sub-module, a second acquiring sub-module, and a first determining sub-module;

the first acquisition sub-module is used for acquiring second imaging information; the second imaging information is generated by pressing the fingerprint module of the terminal to be detected in the fingerprint detection area of the terminal to be detected by adopting a second model;

the second acquisition sub-module is used for acquiring reference imaging information; the reference imaging information is generated by a fingerprint module of the standard terminal when the second model is adopted to press the fingerprint detection area of the standard terminal;

the first determining sub-module is used for determining the compensation information according to the second imaging information and the reference imaging information.

In one embodiment, the second acquisition sub-module includes a first acquisition unit, the first acquisition sub-module includes a second acquisition unit, and the first determination sub-module includes a first determination unit, a second determination unit, and a third determination unit;

The first obtaining unit is used for obtaining the position of each pixel point and the brightness value corresponding to each pixel point in the first image generated by the fingerprint module of the standard terminal;

the second obtaining unit is used for obtaining the position of each pixel point and the brightness value corresponding to each pixel point in the second image generated by the fingerprint module of the terminal to be tested;

the first determining unit is configured to determine a reference imaging matrix according to a position of each pixel point in the first image and a brightness value corresponding to each pixel point;

the second determining unit is configured to determine a first imaging matrix according to a position of each pixel point in the second image and a brightness value corresponding to each pixel point;

the third determining unit is configured to determine a compensation value according to the reference imaging matrix and the first imaging matrix.

In one embodiment, the first acquisition module includes a third acquisition sub-module and the calibration module includes a second determination sub-module and a calibration sub-module;

the third obtaining submodule is used for obtaining the position of each pixel point and the brightness value corresponding to each pixel point in a third image generated by the fingerprint module of the terminal to be tested;

The second determining submodule is used for determining a second imaging matrix according to the position of each pixel point in the third image and the brightness value corresponding to each pixel point;

and the calibration submodule is used for calibrating the second imaging matrix according to the compensation value.

According to a third aspect of embodiments of the present disclosure, there is provided a calibration device for fingerprint identification, comprising:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to:

and calibrating the first imaging information according to the compensation information.

According to a fourth aspect of embodiments of the present disclosure, there is provided a computer readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the steps of the method of any of the embodiments of the first aspect.

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

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.

Fig. 1 is a schematic diagram showing a structure of an LCD display screen according to an exemplary embodiment.

Fig. 2 is a schematic diagram showing a structure of an LCD display screen according to an exemplary embodiment.

Fig. 3 is a schematic diagram of a mesh image of an LCD display screen, according to an example embodiment.

Fig. 4 is a schematic diagram showing a structure of an LCD display screen according to an exemplary embodiment.

Fig. 5a is a flow chart illustrating a calibration method of fingerprint identification according to an exemplary embodiment.

Fig. 5b is a flow chart illustrating a calibration method of fingerprint identification according to an exemplary embodiment.

Fig. 6a is a schematic diagram of a configuration of a calibration device for fingerprint recognition according to an exemplary embodiment.

Fig. 6b is a schematic diagram of a configuration of a fingerprint-identified calibration device according to an exemplary embodiment.

Fig. 6c is a schematic diagram of a calibration device for fingerprint recognition according to an exemplary embodiment.

Fig. 6d is a schematic diagram of a calibration device for fingerprint recognition according to an exemplary embodiment.

Fig. 6e is a schematic diagram of a calibration device for fingerprint recognition according to an exemplary embodiment.

Fig. 7 is a block diagram of a fingerprint-identified calibration device, according to an example embodiment.

Detailed Description

Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.

The technical scheme provided by the embodiment of the disclosure relates to a terminal to be tested and a standard terminal, which can be mobile phones, tablet computers, notebook computers and other devices capable of being configured with the LCD display screen used by users, and the embodiment of the disclosure is not limited to this. In the related art, when the under-screen fingerprint device is arranged, due to the influence of factors such as process and equipment precision, the distance between the under-screen fingerprint device of each terminal and the second prism film can be caused, the grating pitch between adjacent prisms in the prism film is different, and the under-screen fingerprint device and the fingerprint detection area are not corresponding and have deviation, so that the net images formed on the under-screen fingerprint device are different finally, and the precision of fingerprint identification is reduced. In the technical scheme provided by the embodiment of the disclosure, when the fingerprint module of the terminal to be tested needs to be calibrated, the user can press the first model in the fingerprint detection area of the terminal to be tested, so that the infrared light emitted by the LCD backlight module is reflected to the fingerprint module through the first model, further, the first imaging information generated by the fingerprint module can be obtained, and when the compensation information of the fingerprint module of the terminal to be tested is obtained, the first imaging information is calibrated according to the compensation information, the calibration of fingerprint identification of the terminal to be tested is realized, and the precision of the fingerprint identification is improved.

As shown in fig. 1 and 2, the calibration method for fingerprint identification provided in the embodiment of the present disclosure is applied to a terminal configured with an LCD display screen, where the LCD display screen includes a fingerprint module 1 and a display assembly 2, the display assembly 2 includes a glass cover plate 21, a display panel 22, a first prism film 23, a second prism film 24 and an LCD backlight module 25 that are sequentially set, an arrangement direction of the first prism film 23 is perpendicular to an arrangement direction of the second prism film 24, light emitted by the LCD backlight module 25 includes infrared light, a fingerprint detection area corresponding to the fingerprint module 1 is provided on the glass cover plate 21, and the fingerprint module 1 is located at a side of the second prism film 24 facing away from the first prism film 23.

Wherein the first prism film 23 and the second prism film 24 are used to enhance the brightness of the LCD display.

As shown in fig. 1, the fingerprint module 1 is located between the second prism film 24 and the LCD backlight module 25; as shown in fig. 2, the fingerprint module 1 is located at a side of the LCD backlight module 25 facing away from the second prism film 24; the first prism film 23 and the second prism film 24 are each composed of a plurality of prisms, and the plurality of prisms of the first prism film 23 are arranged on the same horizontal plane, and the plurality of prisms of the second prism film 24 are arranged on the same horizontal plane, so that the first prism film 23 and the second prism film 24 form a two-dimensional grating structure.

Taking the fingerprint module 1 as an example, the fingerprint module is located between the second prism film 24 and the LCD backlight module 25, the specific working principle is as follows: the infrared light emitted by the LCD backlight module 25 sequentially passes through the second prism film 24, the first prism film 23, the display panel 22 and the glass cover plate 21 and then is emitted, when a fingerprint or the like is pressed in the fingerprint detection area, the infrared light emitted by the LCD backlight module 25 is reflected when encountering the fingerprint or the like, the reflected light is formed by light with various different incident angles, sequentially passes through the glass cover plate 21, the display panel 22, the first prism film 23 and the second prism film 24 and then irradiates the fingerprint module 1, and as the arrangement direction of the first prism film 23 and the second prism film 24 is vertical, the reflected light irradiates the first prism film 23, and is diffracted by a two-dimensional grating structure formed by the first prism film 23 and the second prism film 24, so that a net image shown in fig. 3 is finally formed on the fingerprint module 1.

As shown in fig. 3, the mesh image formed on the fingerprint module 1 is composed of a plurality of equidistant bright spots, the horizontal distance and the vertical distance between two adjacent bright spots reflect the distance h between the fingerprint module 1 and the second prism film 24 and the diffraction angle θ of the reflected light, as shown in fig. 4, the reflected light with the incidence angle i generates diffraction after passing through the first prism film 23 and the second prism film 24 to form diffraction light at each level, wherein m=0 is the light when the reflected light does not generate diffraction, and is also the central bright spot in the mesh image shown in fig. 3, the grating equation is d (sini±sin θ) =mλ, m=0, ±1, ±2·2·where m is the diffraction order, λ is the wavelength of infrared light, i is the incidence angle θ of the reflected light, and d is the diffraction angle θ of the reflected light, that is the distance between each diffraction angle of each level and the corresponding diffraction pattern m is the first prism film 23 or the second prism film 24, and the diffraction angle θ of the corresponding to the mesh image can be calibrated according to the diffraction angle d of the diffraction angle of the diffraction pattern of the diffraction light at each level, and the diffraction pattern of the diffraction pattern 1, and the diffraction distance between the diffraction pattern of the corresponding to the mesh image can be calibrated.

Fig. 5a is a flowchart illustrating a calibration method of fingerprint identification according to an exemplary embodiment, and as shown in fig. 5a, the calibration method of fingerprint identification includes the following steps 501 to 503:

in step 501, first imaging information is acquired.

The first imaging information is generated by pressing the fingerprint module of the terminal to be detected by adopting a first model when the fingerprint detection area of the terminal to be detected is pressed; the first model may be a fingerprint of any user.

By way of example, taking the fingerprint module between the second prism film and the LCD backlight module as an example, when a user presses the first model on the fingerprint detection area of the terminal to be tested, infrared light emitted by the LCD backlight module is reflected when encountering the first model, the reflected light is formed by light with various different incident angles, and sequentially passes through the glass cover plate, the display panel, the first prism film and the second prism film and irradiates on the fingerprint module, when the reflected light irradiates on the first prism film, the reflected light is diffracted by a two-dimensional grating structure formed by the first prism film and the second prism film, and finally a mesh image is formed on the fingerprint module of the terminal to be tested, and the fingerprint module of the terminal to be tested sends information corresponding to the formed mesh image to the processor of the terminal to be tested, so that the processor of the terminal to be tested obtains the information corresponding to the mesh image, namely the first imaging information.

In step 502, compensation information of the fingerprint module of the terminal to be tested is obtained.

For example, the processor of the terminal to be tested reads the pre-stored compensation information of the fingerprint module of the terminal to be tested from the memory.

In step 503, the first imaging information is calibrated according to the compensation information.

When the processor of the terminal to be tested acquires the compensation information of the fingerprint module, the processor of the terminal to be tested calibrates the first imaging information by adopting the compensation information when acquiring the first imaging information of the fingerprint module, so that the calibrated imaging information is imaging information which is determined according to the distance between the fingerprint module of the terminal to be tested and the second prism film in the reference terminal, the grating pitch in the prism film of the reference terminal and the corresponding determination of the fingerprint detection area of the reference terminal and the fingerprint module, and the recognition precision of the fingerprint module of the terminal to be tested is improved.

The embodiment of the disclosure provides a calibration method for fingerprint identification, when a fingerprint module of a terminal to be tested needs to be calibrated, a user can press a first model in a fingerprint detection area of the terminal to be tested, so that infrared light emitted by an LCD backlight module is reflected to the fingerprint module through the first model, further first imaging information generated by the fingerprint module can be obtained, and when compensation information of the fingerprint module of the terminal to be tested is obtained, the first imaging information is calibrated according to the compensation information, the calibration for fingerprint identification of the terminal to be tested is realized, and the precision of fingerprint identification is improved.

Further, as shown in fig. 5b, before performing step 501, step 504 is further included.

In step 504, compensation information of the fingerprint module of the terminal to be tested is determined.

Optionally, the method for determining the compensation information of the fingerprint module of the terminal to be tested comprises the following steps:

second imaging information is acquired, reference imaging information is acquired, and then the compensation information is determined according to the second imaging information and the reference imaging information.

The second imaging information is generated by pressing the fingerprint module of the terminal to be detected in the fingerprint detection area of the terminal to be detected by adopting a second model; the reference imaging information is generated by a fingerprint module of the standard terminal when the second model is adopted to press the fingerprint detection area of the standard terminal; the second model is a selected standard fingerprint model or other specific shape, for example, the specific shape is a square block, a rectangular block and the like, and preferably, the second model is a standard fingerprint model; the standard terminal is a terminal with a fingerprint module set on the terminal and a fingerprint detection area which are completely corresponding and have no deviation.

By way of example, taking the fingerprint module between the second prism film and the LCD backlight module as an example, when a user presses the second model on the fingerprint detection area of the standard terminal, infrared light emitted by the LCD backlight module will be reflected when encountering the second model, the reflected light is formed by light with various different incident angles, and sequentially passes through the glass cover plate, the display panel, the first prism film and the second prism film and irradiates on the fingerprint module of the standard terminal, when the reflected light irradiates on the first prism film, the reflected light will be diffracted by the two-dimensional grating structure formed by the first prism film and the second prism film, and finally a mesh image is formed on the fingerprint module of the standard terminal, the fingerprint module of the standard terminal sends information corresponding to the mesh image formed on the fingerprint module pressed by the second model to the processor of the standard terminal, so that the processor of the standard terminal obtains information corresponding to the mesh image formed on the fingerprint detection module pressed by the second model, namely the reference imaging information.

Also, taking the example that the fingerprint module is located between the second prism film and the LCD backlight module, when the user presses the second model on the fingerprint detection area of the terminal to be tested, the infrared light emitted by the LCD backlight module will be reflected when encountering the second model, the reflected light is formed by light with various different incident angles, and sequentially passes through the glass cover plate, the display panel, the first prism film and the second prism film and irradiates on the fingerprint module, when the reflected light irradiates on the first prism film, the reflected light will be diffracted by the two-dimensional grating structure formed by the first prism film and the second prism film, and finally a mesh image is formed on the fingerprint module of the terminal to be tested, and because the first model and the second model are different, the mesh image formed on the fingerprint module is different from the mesh image formed on the fingerprint module when the fingerprint detection area is pressed by the first model, the fingerprint module of the terminal to be tested will send the information corresponding to the mesh image formed on the fingerprint module when the fingerprint detection area is pressed by the second model to the processor of the terminal to be tested, so that the processor of the terminal to be tested obtains the information corresponding to the mesh image formed on the fingerprint module when the second model is the second imaging information.

And then the processor of the terminal to be tested determines the compensation information of the fingerprint module of the terminal to be tested according to the acquired information corresponding to the mesh image formed on the fingerprint module when the fingerprint detection area is pressed by the second model and the information corresponding to the mesh image formed on the fingerprint module when the fingerprint detection area is pressed by the second model.

Further, since the second imaging information and the reference imaging information are both information generated by pressing the corresponding fingerprint detection area by using the second model, when the second imaging information is different from the reference imaging information, the second imaging information is caused by at least one of the following three factors, and the specific three factors are respectively: the distance between the fingerprint module of the terminal to be measured and the second prism film in the terminal to be measured and the distance between the fingerprint module of the reference terminal and the second prism film in the reference terminal, the grating pitch in the prism film of the terminal to be measured and the grating pitch in the prism film of the reference terminal, and the fingerprint module of the terminal to be measured and the fingerprint detection area are not corresponding and have deviation, so the first imaging information can be calibrated by the reference imaging information, the defect of the terminal to be measured in terms of hardware of the three factors is realized by software compensation, the terminal to be measured is finally enabled to have the fingerprint identification precision identical with the hardware of the standard terminal, and the fingerprint identification precision identical with the hardware of the standard terminal is embodied as: although the distance between the fingerprint module of the terminal to be detected and the second prism film in the terminal to be detected is different from the distance between the fingerprint module of the reference terminal and the second prism film in the reference terminal, the fingerprint identification of the terminal to be detected is identified according to the distance between the second prism films in the reference terminal; although the grating pitch in the prism film of the terminal to be detected is different from the grating pitch in the prism film of the reference terminal, the fingerprint identification of the terminal to be detected is identified according to the grating pitch in the prism film of the reference terminal; although the fingerprint module of the terminal to be detected has no correspondence with the fingerprint detection area and has deviation, the fingerprint identification of the terminal to be detected is carried out according to the complete correspondence of the fingerprint module of the reference terminal with the fingerprint detection area without deviation, thereby improving the precision of the fingerprint identification of the terminal to be detected.

Optionally, acquiring the reference imaging information includes acquiring a position of each pixel point and a brightness value corresponding to each pixel point in the first image generated by the fingerprint module of the standard terminal.

When the fingerprint detection area of the standard terminal is pressed by the second model, the mesh image formed on the fingerprint module of the standard terminal is the first image, the fingerprint module of the standard terminal sends the position of each pixel point in the first image and the brightness value corresponding to each pixel point to the processor of the standard terminal, so that the processor of the standard terminal obtains the position of each pixel point in the first image and the brightness value corresponding to each pixel point, and then sends the obtained position of each pixel point in the first image and the brightness value corresponding to each pixel point to the terminal to be detected, and the terminal to be detected stores the position of each pixel point in the first image and the brightness value corresponding to each pixel point.

For example, the first image includes 2×2 pixels, that is, 4 pixels, where the first row includes two pixels and the second row includes two pixels, and the position of each pixel in the first image includes a first row and a first column corresponding to the first pixel, a first row and a second column corresponding to the second pixel, a second row and a first column corresponding to the third pixel, and a second row and a second column corresponding to the fourth pixel.

Optionally, acquiring the second imaging information includes acquiring a position of each pixel point and a brightness value corresponding to each pixel point in a second image generated by the fingerprint module of the terminal to be tested.

For example, when the second model is adopted to press the fingerprint detection area of the terminal to be detected, the mesh image formed on the fingerprint module of the terminal to be detected is the second image, and the fingerprint module of the terminal to be detected sends the position of each pixel point in the second image and the brightness value corresponding to each pixel point to the processor of the terminal to be detected, so that the processor of the terminal to be detected obtains the position of each pixel point in the second image and the brightness value corresponding to each pixel point.

For example, the second image includes 2×2 pixels, that is, 4 pixels, where the first row includes two pixels and the second row includes two pixels, and the position of each pixel in the second image includes a first row and a first column corresponding to the first pixel, a first row and a second column corresponding to the second pixel, a second row and a first column corresponding to the third pixel, and a second row and a second column corresponding to the fourth pixel.

Further, after the processor of the terminal to be tested obtains the position of each pixel point and the brightness value corresponding to each pixel point in the second image, the processor determines the compensation information according to the position of each pixel point and the brightness value corresponding to each pixel point in the second image, and the stored position of each pixel point and the stored brightness value corresponding to each pixel point in the first image, and the specific method for determining the compensation information is as follows: determining a reference imaging matrix according to the position of each pixel point in the first image and the brightness value corresponding to each pixel point, and determining a first imaging matrix according to the position of each pixel point in the second image and the brightness value corresponding to each pixel point; and determining the compensation value from the reference imaging matrix and the first imaging matrix.

For example, the positions of each pixel point in the first image are in one-to-one correspondence with the positions of the elements in the reference imaging matrix, the brightness value corresponding to the first pixel point in the first image is used as the element of the first row and the first column of the reference imaging matrix, the brightness value corresponding to the second pixel point in the first image is used as the element of the first row and the second column of the reference imaging matrix, the brightness value corresponding to the third pixel point in the first image is used as the element of the first row and the first column of the second row of the reference imaging matrix, and the brightness value corresponding to the fourth pixel point in the first image is used as the element of the second row and the second column of the reference imaging matrix, so that the reference imaging matrix is determined.

For example, the positions of each pixel in the second image are in one-to-one correspondence with the positions of the elements in the first imaging matrix, the brightness value corresponding to the first pixel in the second image is used as the element of the first row and the first column of the first imaging matrix, the brightness value corresponding to the second pixel in the second image is used as the element of the first row and the second column of the first imaging matrix, the brightness value corresponding to the third pixel in the second image is used as the element of the second row and the first column of the first imaging matrix, and the brightness value corresponding to the fourth pixel in the second image is used as the element of the second row and the second column of the first imaging matrix, that is, the first imaging matrix is determined.

For example, after the first imaging matrix and the reference imaging matrix are obtained, dividing the reference imaging matrix by the first imaging matrix to obtain a compensation matrix, which is the determined compensation value.

When the first imaging information and the reference imaging information are the same, it is stated that the distance between the fingerprint module of the terminal to be measured and the second prism film in the terminal to be measured is the same as the distance between the fingerprint module of the reference terminal and the second prism film in the reference terminal, and the grating pitch in the prism film of the terminal to be measured is the same as the grating pitch in the prism film of the reference terminal, and at this time, the compensation information is the compensation coefficient 1.

Optionally, acquiring the first imaging information includes acquiring a position of each pixel point and a brightness value corresponding to each pixel point in a third image generated by the fingerprint module of the terminal to be tested.

For example, when the fingerprint detection area of the terminal to be detected is pressed by the first model, the mesh image formed on the fingerprint module of the terminal to be detected is the third image, and the fingerprint module of the terminal to be detected sends the position of each pixel point in the third image and the brightness value corresponding to each pixel point to the processor of the terminal to be detected, so that the processor of the terminal to be detected obtains the position of each pixel point in the third image and the brightness value corresponding to each pixel point.

For example, the third image includes 2×2 pixels, that is, 4 pixels, where the first row includes two pixels and the second row includes two pixels, and the position of each pixel in the third image includes a first row and a first column corresponding to the first pixel, a first row and a second column corresponding to the second pixel, a second row and a first column corresponding to the third pixel, and a second row and a second column corresponding to the fourth pixel.

Further, after determining the compensation information of the fingerprint module of the terminal to be tested, storing the compensation information of the fingerprint module of the terminal to be tested, and calibrating the first imaging information according to the compensation information when the fingerprint module of the terminal to be tested generates the first imaging information, namely, generating a third image, wherein the specific calibration method comprises the following steps: determining a second imaging matrix according to the position of each pixel point in the third image and the brightness value corresponding to each pixel point; and calibrating the second imaging matrix according to the compensation value.

For example, the positions of each pixel in the third image are in one-to-one correspondence with the positions of the elements in the second imaging matrix, the brightness value corresponding to the first pixel in the third image is taken as the element of the first row and the first column of the second imaging matrix, the brightness value corresponding to the second pixel in the third image is taken as the element of the first row and the second column of the second imaging matrix, the brightness value corresponding to the third pixel in the third image is taken as the element of the first row and the first column of the second imaging matrix, and the brightness value corresponding to the fourth pixel in the third image is taken as the element of the second row and the second column of the second imaging matrix, that is, the second imaging matrix is determined.

By way of example, the compensation matrix is multiplied by the second imaging matrix, so that the calibration of the second imaging matrix is realized, the calibrated imaging matrix is used as information corresponding to the network image generated by the fingerprint module of the terminal to be detected when the user presses the fingerprint detection area of the terminal to be detected by adopting the first model, and the fingerprint identification precision is improved.

It should be noted that, in order to shorten the calibration time, the processor of the terminal to be tested may further divide each pixel point in the obtained first image into a plurality of pixel groups according to the calibration time, sum the brightness values corresponding to each pixel point in the pixel groups and divide the sum by the number of the pixel points in the pixel groups, so as to obtain brightness average values corresponding to the plurality of pixel groups finally, and determine a reference imaging matrix according to the brightness average values corresponding to the plurality of pixel groups in the first image; the first imaging matrix is determined according to the brightness average value corresponding to the plurality of pixel groups in the second image by adopting the same method, the second imaging matrix is determined according to the brightness average value corresponding to the plurality of pixel groups in the third image by adopting the same method, the compensation matrix is obtained according to the first imaging matrix and the reference imaging matrix, and the second imaging matrix is calibrated according to the compensation matrix, so that the calibration time is shortened.

The following are device embodiments of the present disclosure that may be used to perform method embodiments of the present disclosure.

Fig. 6a is a schematic structural diagram of a fingerprint recognition calibration device 60 according to an exemplary embodiment, where the device 60 may be implemented as part or all of an electronic device by software, hardware or a combination of both. As shown in fig. 6a, the fingerprint recognition calibration device 60 includes a first acquisition module 601, a second acquisition module 602, and a calibration module 603.

The first acquiring module 601 is configured to acquire first imaging information, where the first imaging information is information generated by a fingerprint module of the terminal to be tested when the fingerprint detection area of the terminal to be tested is pressed by using a first model.

And the second obtaining module 602 is configured to obtain compensation information of the fingerprint module of the terminal to be tested.

And the calibration module 603 is configured to calibrate the first imaging information according to the compensation information.

In one embodiment, as shown in FIG. 6b, the apparatus 60 further comprises a determination module 604.

The determining module 604 is configured to determine compensation information of the fingerprint module of the terminal to be tested.

In one embodiment, as shown in fig. 6c, the determining module 604 includes a first acquiring sub-module 6041, a second acquiring sub-module 6042, and a first determining sub-module 6043.

Wherein, the first obtaining submodule 6041 is configured to obtain second imaging information; the second imaging information is generated by pressing the fingerprint module of the terminal to be detected in the fingerprint detection area of the terminal to be detected by adopting a second model.

The second acquiring sub-module 6042 is configured to acquire reference imaging information; the reference imaging information is generated by a fingerprint module of the standard terminal when the second model is adopted to press the fingerprint detection area of the standard terminal.

The first determining submodule 6043 is configured to determine the compensation information according to the second imaging information and the reference imaging information.

In one embodiment, as shown in fig. 6d, the second acquisition sub-module 6042 includes a first acquisition unit 60421, the first acquisition sub-module 6041 includes a second acquisition unit 60411, and the first determination sub-module 6043 includes a first determination unit 60431, a second determination unit 60432, and a third determination unit 60433.

The first obtaining unit 60421 is configured to obtain a position of each pixel and a brightness value corresponding to each pixel in the first image generated by the fingerprint module of the standard terminal.

The second obtaining unit 60411 is configured to obtain a position of each pixel point and a brightness value corresponding to each pixel point in the second image generated by the fingerprint module of the terminal to be tested.

The first determining unit 60431 is configured to determine a reference imaging matrix according to a position of each pixel point in the first image and a brightness value corresponding to each pixel point.

The second determining unit 60432 is configured to determine a first imaging matrix according to a position of each pixel point in the second image and a brightness value corresponding to each pixel point.

The third determining unit 60433 is configured to determine a compensation value according to the reference imaging matrix and the first imaging matrix.

In one embodiment, as shown in fig. 6e, the first acquisition module 601 includes a third acquisition sub-module 6011, and the calibration module 603 includes a second determination sub-module 6031 and a calibration sub-module 6032.

The third acquiring submodule 6011 is configured to acquire a position of each pixel point and a brightness value corresponding to each pixel point in a third image generated by the fingerprint module of the terminal to be tested.

The second determining submodule 6031 is configured to determine a second imaging matrix according to a position of each pixel point in the third image and the brightness value corresponding to each pixel point.

The calibration submodule 6032 is configured to calibrate the second imaging matrix according to the compensation value.

The embodiment of the disclosure provides a calibration device for fingerprint identification, when a fingerprint module of a terminal to be tested needs to be calibrated, a user can press a first model in a fingerprint detection area of the terminal to be tested, so that infrared light emitted by an LCD backlight module is reflected to the fingerprint module through the first model, further first imaging information generated by the fingerprint module can be obtained, and when compensation information of the fingerprint module of the terminal to be tested is obtained, the first imaging information is calibrated according to the compensation information, the calibration for fingerprint identification of the terminal to be tested is realized, and the precision of fingerprint identification is improved.

The embodiment of the disclosure provides a calibration device for fingerprint identification, which comprises:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to: acquiring first imaging information, wherein the first imaging information is generated by a fingerprint module of a terminal to be detected when a first model is adopted to press the fingerprint detection area of the terminal to be detected;

In one embodiment, the processor may be further configured to: and determining the compensation information of the fingerprint module of the terminal to be tested.

In one embodiment, the processor may be further configured to: acquiring second imaging information; the second imaging information is generated by pressing the fingerprint module of the terminal to be detected in the fingerprint detection area of the terminal to be detected by adopting a second model;

In one embodiment, the processor may be further configured to: acquiring the position of each pixel point and the brightness value corresponding to each pixel point in a first image generated by a fingerprint module of the standard terminal;

In one embodiment, the processor may be further configured to: acquiring the position of each pixel point and the brightness value corresponding to each pixel point in a third image generated by a fingerprint module of the terminal to be tested;

and calibrating the second imaging matrix according to the compensation value.

The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.

Fig. 7 is a block diagram illustrating an electronic device 700 including the fingerprint-identified calibration apparatus, which is suitable for use in a terminal, according to an exemplary embodiment. For example, the electronic device 700 may be a mobile phone, a computer, a tablet device, or the like.

The electronic device 700 may include one or more of the following components: a processing component 701, a memory 702, a power supply component 703, a multimedia component 704, an audio component 705, an input/output (I/O) interface 706, a sensor component 707, and a communication component 708.

The processing component 701 generally controls overall operation of the electronic device 700, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 701 may include one or more processors 720 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 701 may include one or more modules that facilitate interactions between the processing component 701 and other components. For example, the processing component 701 may include a multimedia module to facilitate interaction between the multimedia component 704 and the processing component 701.

The memory 702 is configured to store various types of data to support operations at the electronic device 700. Examples of such data include instructions for any application or method operating on the electronic device 700, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 702 may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.

The power supply assembly 703 provides power to the various components of the electronic device 700, including the power supply circuits described in the embodiments above. The power supply components 703 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the electronic device 700.

The multimedia component 704 includes a screen between the electronic device 700 and the user that provides an output interface. 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 input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or slide action, but also the duration and pressure associated with the touch or slide operation. In some embodiments, multimedia component 704 includes a front-facing camera and/or a rear-facing camera. When the electronic device 700 is in an operational mode, such as a shooting mode or a video mode, the front camera and/or the rear camera may receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

The audio component 705 is configured to output and/or input audio signals. For example, the audio component 705 includes a Microphone (MIC) configured to receive external audio signals when the electronic device 700 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may be further stored in the memory 702 or transmitted via the communication component 708. In some embodiments, the audio component 705 further comprises a speaker for outputting audio signals.

The I/O interface 706 provides an interface between the processing component 701 and peripheral interface modules, which may be a keyboard, click wheel, buttons, etc. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.

The sensor assembly 707 includes one or more sensors for providing status assessment of various aspects of the electronic device 700. For example, the sensor assembly 707 may detect an on/off state of the electronic device 700, a relative positioning of the components, such as a display and keypad of the electronic device 700, a change in position of the electronic device 700 or a component of the electronic device 700, the presence or absence of a user's contact with the electronic device 700, an orientation or acceleration/deceleration of the electronic device 700, and a change in temperature of the electronic device 700. The sensor assembly 707 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact. The sensor assembly 707 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 707 may also include an acceleration sensor, a gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 708 is configured to facilitate communication between the electronic device 700 and other devices, either wired or wireless. The electronic device 700 may access a wireless network based on a communication standard, such as WiFi,2G, or 3G, or a combination thereof. In one exemplary embodiment, the communication component 708 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communication component 708 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 electronic device 700 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic elements for executing the methods described above.

In an exemplary embodiment, a non-transitory computer readable storage medium is also provided, such as a memory 702, including instructions executable by the processor 720 of the electronic device 700 to perform the above-described method. For example, the non-transitory computer readable storage medium may be ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.

Embodiments of the present disclosure provide a non-transitory computer readable storage medium, which when executed by a processor of a terminal, enables the terminal to perform the above-described fingerprint identification calibration method, the method comprising:

In one embodiment, the acquiring the reference imaging information includes:

the acquiring the second imaging information includes:

In one embodiment, the acquiring the first imaging information includes:

and calibrating the second imaging matrix according to the compensation value.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. The calibration method for fingerprint identification is characterized by being applied to a terminal provided with an LCD display screen, wherein the LCD display screen comprises a fingerprint module and a display assembly, the display assembly comprises a glass cover plate, a display panel, a first prism film, a second prism film and an LCD backlight module which are sequentially arranged, light emitted by the LCD backlight module comprises infrared light, a fingerprint detection area corresponding to the fingerprint module is arranged on the glass cover plate, and the fingerprint module is positioned on one side, away from the first prism film, of the second prism film; the method comprises the following steps:

Acquiring first imaging information, wherein the first imaging information is information corresponding to a mesh image formed on a fingerprint module of a terminal to be tested, and the information is obtained by adopting a first model to press the fingerprint detection area of the terminal to be tested, so that infrared light emitted by the LCD backlight module is reflected to the fingerprint module through the first model;

acquiring compensation information of the fingerprint module of the terminal to be tested, wherein the compensation information is used for enabling second imaging information to be consistent with reference imaging information after compensation;

calibrating the first imaging information according to the compensation information;

before the acquiring the first imaging information, the method further comprises:

acquiring second imaging information; the second imaging information is information corresponding to a mesh image formed on a fingerprint module of the terminal to be detected when the fingerprint detection area of the terminal to be detected is pressed by a second model;

acquiring reference imaging information; the standard imaging information is information corresponding to a mesh image formed on a fingerprint module of a standard terminal when the fingerprint detection area of the standard terminal is pressed by the second model, wherein the standard terminal is a terminal with no deviation and completely corresponding to the fingerprint module arranged on the terminal and the fingerprint detection area;

Determining the compensation information according to the second imaging information and the reference imaging information;

the acquiring the reference imaging information includes:

the acquiring the second imaging information includes:

2. The method of claim 1, wherein the acquiring the first imaging information comprises:

and calibrating the second imaging matrix according to the compensation value.

3. The device is characterized by being applied to a terminal provided with an LCD display screen, wherein the LCD display screen comprises a fingerprint module and a display assembly, the display assembly comprises a glass cover plate, a display panel, a first prism film, a second prism film and an LCD backlight module which are sequentially arranged, light emitted by the LCD backlight module comprises infrared light, a fingerprint detection area corresponding to the fingerprint module is arranged on the glass cover plate, and the fingerprint module is positioned on one side of the second prism film, which is away from the first prism film; the device comprises:

the first acquisition module is used for acquiring first imaging information, wherein the first imaging information is generated by adopting a first model to press the fingerprint detection area of the terminal to be detected, so that infrared light emitted by the LCD backlight module is reflected to the fingerprint module through the first model, and the acquired information is generated by the fingerprint module of the terminal to be detected;

the determining module is used for determining the compensation information of the fingerprint module of the terminal to be detected, and the compensation information is used for enabling the second imaging information to be consistent with the reference imaging information after compensation;

the determining module comprises a first obtaining sub-module, a second obtaining sub-module and a first determining sub-module;

the first determining submodule is used for determining the compensation information according to the second imaging information and the reference imaging information;

the second acquisition sub-module comprises a first acquisition unit, the first acquisition sub-module comprises a second acquisition unit, and the first determination sub-module comprises a first determination unit, a second determination unit and a third determination unit;

the third determining unit is used for determining a compensation value according to the reference imaging matrix and the first imaging matrix;

4. The apparatus of claim 3, wherein the first acquisition module comprises a third acquisition sub-module and the calibration module comprises a second determination sub-module and a calibration sub-module;

5. The device is characterized by being applied to a terminal provided with an LCD display screen, wherein the LCD display screen comprises a fingerprint module and a display assembly, the display assembly comprises a glass cover plate, a display panel, a first prism film, a second prism film and an LCD backlight module which are sequentially arranged, light emitted by the LCD backlight module comprises infrared light, a fingerprint detection area corresponding to the fingerprint module is arranged on the glass cover plate, and the fingerprint module is positioned on one side of the second prism film, which is away from the first prism film; the device comprises:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to:

acquiring first imaging information, wherein the first imaging information is generated by adopting a first model to press the fingerprint detection area of a terminal to be detected, so that infrared light emitted by the LCD backlight module is reflected to the fingerprint module through the first model, and the acquired information is generated by the fingerprint module of the terminal to be detected;

Acquiring compensation information of the fingerprint module of the terminal to be tested, wherein the compensation information is used for enabling second imaging information to be consistent with reference imaging information after compensation; calibrating the first imaging information according to the compensation information;

the acquiring the reference imaging information includes:

the acquiring the second imaging information includes:

6. A computer readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the steps of the method of any of claims 1 to 2.