CN111507133A - Fingerprint identification calibration method and device - Google Patents
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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Abstract
The method comprises the steps of obtaining first imaging information, wherein the first imaging information is information generated by the fingerprint module of the terminal to be detected when the fingerprint detection area of the terminal to be detected is pressed by a first model, obtaining compensation information of the fingerprint module of the terminal to be detected, and calibrating the first imaging information according to the compensation information.
Description
Technical Field
The present disclosure relates to the field of terminal technologies, and in particular, to a calibration method and apparatus for fingerprint identification.
Background
With the continuous development of communication technology, large-screen terminals are also continuously popularized, the screen occupation ratio of terminals is higher and higher, so that fingerprint sensors, cameras and the like of terminals begin to develop an under-screen technology, and terminals provided with L CD display screens are limited by the self light-emitting mode and structure of L CD display screens, common optical fingerprint devices cannot be used, under-screen fingerprint devices using infrared light as a detection signal source are present, the infrared light can penetrate through L CD display screens, so that the under-screen fingerprint devices based on the infrared light become possible, fingerprint identification is realized by combining with a fingerprint detection area on a glass cover plate of L CD display screens, and a first prism film and a second prism film which are vertically arranged are arranged between a backlight module and a liquid crystal panel in the L CD display screens, the under-screen fingerprint devices are arranged between the second prism film and the backlight module, and a mesh image is finally formed on the under-screen fingerprint devices after the infrared light emitted by the backlight module is reflected by fingerprints, and fingerprint identification is realized.
In the related art, when the underscreen fingerprint device is set, due to the influence of factors such as process and equipment precision, the distance between the underscreen fingerprint device of each terminal and the second prism film is caused, the grating pitch between adjacent prisms in the prism film is different, and the underscreen fingerprint device may not correspond to the fingerprint detection area and have deviation, so that the net-shaped images finally formed on the underscreen fingerprint device are different.
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 the embodiments of the present disclosure, a calibration method for fingerprint identification is provided, which is applied to a terminal configured with an L CD display screen, the L CD display screen includes a fingerprint module and a display module, the display module includes a glass cover plate, a display panel, a first prism film, a second prism film and a L CD backlight module, which are sequentially disposed, light emitted by the L CD backlight module includes infrared light, a fingerprint detection area corresponding to the fingerprint module is disposed on the glass cover plate, and the fingerprint module is located on a side of the second prism film, which is away from the first prism film, the method includes:
acquiring first imaging information, wherein the first imaging information is information 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 the fingerprint module of the terminal to be detected;
and calibrating the fingerprint module of the terminal to be detected according to the first imaging information and the compensation information.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects that when the fingerprint module of the terminal to be detected needs to be calibrated, a user can press the first model on the fingerprint detection area of the terminal to be detected, so that infrared light emitted by the L CD backlight module is reflected to the fingerprint module through the first model, further the first imaging information generated by the fingerprint module can be acquired, and when the compensation information of the fingerprint module of the terminal to be detected is acquired, the first imaging information is calibrated according to the compensation information, the calibration of the fingerprint identification of the terminal to be detected is realized, and the precision of the fingerprint identification 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 detected.
In an 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 information generated by a fingerprint module of the terminal to be detected when a second model is adopted to press the fingerprint detection area of the terminal to be detected;
acquiring reference imaging information; the reference imaging information is information generated by a fingerprint module of a 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 of the reference imaging information comprises:
acquiring the position of each pixel point in a first image generated by a fingerprint module of the standard terminal and the brightness value corresponding to each pixel point;
the acquiring second imaging information includes:
acquiring the position of each pixel point in a second image generated by the fingerprint module of the terminal to be detected and the brightness value corresponding to each pixel point;
the determining the compensation information from the second imaging information and the reference imaging information comprises:
determining a reference imaging matrix according to the position of each pixel point in the first image and the corresponding brightness value of 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 first imaging information comprises:
acquiring the position of each pixel point in a third image generated by the fingerprint module of the terminal to be detected and the brightness value corresponding to each pixel point;
the calibrating the first imaging information according to the compensation information comprises:
determining a second imaging matrix according to the position of each pixel point in the third image and the corresponding brightness value of each pixel point;
calibrating the second imaging matrix according to the compensation values.
According to a second aspect of the embodiments of the present disclosure, there is provided a calibration apparatus for fingerprint recognition, including:
the first acquisition module is used for acquiring first imaging information, wherein the first imaging information is information 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;
the second acquisition module is used for acquiring compensation information of the fingerprint module of the terminal to be detected;
and the calibration module is used for calibrating the first imaging information according to the compensation information.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects that when the fingerprint module of the terminal to be detected needs to be calibrated, a user can press the first model on the fingerprint detection area of the terminal to be detected, so that infrared light emitted by the L CD backlight module is reflected to the fingerprint module through the first model, further the first imaging information generated by the fingerprint module can be acquired, and when the compensation information of the fingerprint module of the terminal to be detected is acquired, the first imaging information is calibrated according to the compensation information, the calibration of the fingerprint identification of the terminal to be detected is realized, and the precision of the fingerprint identification is improved.
In one embodiment, further comprising a determination 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 obtaining sub-module, a second obtaining sub-module, and a first determining sub-module;
the first obtaining submodule is used for obtaining second imaging information; the second imaging information is information generated by a fingerprint module of the terminal to be detected when a second model is adopted to press the fingerprint detection area of the terminal to be detected;
the second obtaining submodule is used for obtaining reference imaging information; the reference imaging information is information generated by a fingerprint module of a standard terminal when the second model is adopted to press the fingerprint detection area of the standard terminal;
the first determining sub-module is configured to determine the compensation information according to the second imaging information and the reference imaging information.
In one embodiment, the second obtaining sub-module includes a first obtaining unit, the first obtaining sub-module includes a second obtaining unit, and the first determining sub-module includes a first determining unit, a second determining unit, and a third determining unit;
the first obtaining unit is used for obtaining the position of each pixel point in a first image generated by the fingerprint module of the standard terminal and the brightness value corresponding to each pixel point;
the second obtaining unit is used for obtaining the position of each pixel point in a second image generated by the fingerprint module of the terminal to be tested and the brightness value corresponding to each pixel point;
the first determining unit is configured to determine 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;
the second determining unit is configured to determine 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;
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 comprises a third acquisition sub-module, and the calibration module comprises a second determination sub-module and a calibration sub-module;
the third obtaining submodule is used for obtaining the position of each pixel point in a third image generated by the fingerprint module of the terminal to be tested and the brightness value corresponding to each pixel point;
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 corresponding brightness value of each pixel point;
the calibration sub-module is configured to calibrate the second imaging matrix according to the compensation value.
According to a third aspect of the embodiments of the present disclosure, there is provided a calibration apparatus for fingerprint recognition, including:
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 information 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 the fingerprint module of the terminal to be detected;
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 according to any one 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 present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a schematic diagram illustrating the construction of an L CD display screen according to an exemplary embodiment.
Fig. 2 is a schematic diagram illustrating the construction of an L CD display screen according to an exemplary embodiment.
FIG. 3 is a schematic diagram illustrating a mesh image of an L CD display screen according to an exemplary embodiment.
Fig. 4 is a schematic diagram illustrating the construction of an L CD display screen according to an exemplary embodiment.
Fig. 5a is a flowchart illustrating a calibration method of fingerprint recognition according to an exemplary embodiment.
Fig. 5b is a flowchart illustrating a calibration method of fingerprint recognition according to an exemplary embodiment.
Fig. 6a is a schematic structural diagram illustrating a calibration apparatus for fingerprint recognition according to an exemplary embodiment.
Fig. 6b is a schematic structural diagram illustrating a calibration apparatus for fingerprint recognition according to an exemplary embodiment.
Fig. 6c is a schematic structural diagram illustrating a calibration apparatus for fingerprint recognition according to an exemplary embodiment.
Fig. 6d is a schematic structural diagram illustrating a calibration apparatus for fingerprint recognition according to an exemplary embodiment.
Fig. 6e is a schematic structural diagram illustrating a calibration apparatus for fingerprint recognition according to an exemplary embodiment.
Fig. 7 is a block diagram illustrating a fingerprint recognition calibration apparatus according to an example embodiment.
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.
In the technical scheme provided by the embodiment of the disclosure, when the fingerprint module of the terminal to be detected needs to be calibrated, a user can press the first model on the fingerprint detection area of the terminal to be detected, so that infrared light emitted by the L CD module is reflected to the fingerprint module, the first imaging information generated by the fingerprint module to be detected can be acquired, the first imaging information of the fingerprint module to be detected is acquired, and the accuracy of the first imaging information of the fingerprint module to be detected is improved according to the first calibration information of the terminal to be detected.
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 L CD display screen, the L CD display screen includes a fingerprint module 1 and a display module 2, the display module 2 includes a glass cover plate 21, a display panel 22, a first prism film 23, a second prism film 24, and a L CD backlight module 25, which are sequentially disposed, and a direction of arrangement of the first prism film 23 is perpendicular to a direction of arrangement of the second prism film 24, light emitted from the L CD backlight module 25 includes infrared light, a fingerprint detection area corresponding to the fingerprint module 1 is disposed on the glass cover plate 21, and the fingerprint module 1 is located on a side of the second prism film 24 departing 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 L CD display screen.
For example, as shown in fig. 1, the fingerprint module 1 is located between the second prism film 24 and the L CD backlight module 25, and as shown in fig. 2, the fingerprint module 1 is located on a side of the L CD backlight module 25 facing away from the second prism film 24, wherein each of the first prism film 23 and the second prism film 24 is composed of a plurality of prisms, and the plurality of prisms of the first prism film 23 are arranged on a same horizontal plane, and the plurality of prisms of the second prism film 24 are arranged on a same horizontal plane, so that the first prism film 23 and the second prism film 24 form a two-dimensional grating structure.
Taking the example that the fingerprint module 1 is located between the second prism film 24 and the L CD backlight module 25, the specific working principle is that infrared light emitted by the L CD 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 is pressed on the fingerprint detection area, the infrared light emitted by the L CD backlight module 25 is reflected when encountering the fingerprint, and the reflected light is composed of lights with various incident angles and then irradiates the fingerprint module 1 after sequentially passing through the glass cover plate 21, the display panel 22, the first prism film 23 and the second prism film 24, because the arrangement directions of the first prism film 23 and the second prism film 24 are perpendicular, when the reflected light irradiates the first prism film 23, the reflected light is diffracted by the two-dimensional grating structure formed by the first prism film 23 and the second prism film 24, and finally forms a mesh image as shown in fig. 3 on the fingerprint module 1.
As shown in fig. 3, the network image formed on the fingerprint module 1 is composed of a plurality of equally spaced bright spots, the lateral distance and the longitudinal 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 incident angle i passes through the first prism film 23 and the second prism film 24 and is diffracted to form diffracted lights of each level, wherein m ═ 0 is the light when the reflected light is not diffracted and also forms the central bright spot in the network image shown in fig. 3, the grating equation is d (sini ± sin θ) ═ m λ, m ═ 0, ± 1, ± 2 ·, wherein m is the order of diffraction, λ is the wavelength of the infrared light, i is the incident angle of the reflected light, θ is the diffraction angle of the reflected light, and d is the grating pitch, that is the distance between two adjacent prisms in the first prism film 23 or the second prism film 24, as can be known from the grating equation, the diffraction angle of each level of diffracted light is related to the corresponding diffraction order m and grating pitch d, and the position information of each bright spot in the mesh image can embody the distance h between the fingerprint module 1 and the second prism film 24, the diffraction angle θ of the reflected light, and the grating pitch d, so that it is particularly important to calibrate the distance h between the fingerprint module 1 and the second prism film 24, the diffraction angle θ of the reflected light, and the grating pitch d according to the information corresponding to the mesh image.
Fig. 5a is a flowchart illustrating a calibration method for fingerprint recognition according to an exemplary embodiment, and as shown in fig. 5a, the calibration method for fingerprint recognition includes the following steps 501 to 503:
in step 501, first imaging information is acquired.
The first imaging information is information generated by a fingerprint module of the terminal to be detected when a first model is adopted to press the fingerprint detection area of the terminal to be detected; the first model may be a fingerprint of an arbitrary user.
For example, taking the fingerprint module between the second prism film and the L CD backlight module as an example, when a user presses the first model against the fingerprint detection area of the terminal to be detected, infrared light emitted by the L CD backlight module will be reflected when encountering the first model, reflected light is composed of lights with various incident angles, and passes through the glass cover plate, the display panel, the first prism film and the second prism film in sequence and then irradiates on the fingerprint module, and 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 detected, and the fingerprint module of the terminal to be detected sends information corresponding to the formed mesh image to the processor of the terminal to be detected, so that the processor of the terminal to be detected obtains information corresponding to the mesh image, that is the first imaging information.
In step 502, the compensation information of the fingerprint module of the terminal to be tested is obtained.
Illustratively, the processor of the terminal under test reads pre-stored compensation information of the fingerprint module of the terminal under test from the memory.
In step 503, the first imaging information is calibrated according to the compensation information.
The example, when the processor of the terminal to be tested acquires the compensation information of the fingerprint module, when the processor acquires the first imaging information of the fingerprint module, the compensation information is adopted to calibrate the first imaging information, so that the calibrated imaging information is the imaging information which is determined according to 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 reference terminal and the fingerprint detection area of the reference terminal corresponding to the fingerprint module, and the identification 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 detected needs to be calibrated, a user can press a first model on a fingerprint detection area of the terminal to be detected, infrared light emitted by an L CD backlight module is reflected to the fingerprint module through the first model, and then first imaging information generated by the fingerprint module can be acquired, and when compensation information of the fingerprint module of the terminal to be detected is acquired, the first imaging information is calibrated according to the compensation information, calibration of the fingerprint identification of the terminal to be detected is realized, and accuracy of the fingerprint identification is improved.
Further, as shown in fig. 5b, before performing step 501, step 504 is further included.
In step 504, the 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:
acquiring second imaging information, acquiring reference imaging information, and determining the compensation information according to the second imaging information and the reference imaging information.
The second imaging information is information generated by a fingerprint module of the terminal to be detected when a second model is adopted to press the fingerprint detection area of the terminal to be detected; the reference imaging information is information generated by a fingerprint module of a 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 shapes, for example, the specific shape is a square block, a rectangular block, etc., preferably, the second model is a standard fingerprint model; the standard terminal is the terminal that the fingerprint module that sets up on the terminal completely corresponds, does not have the deviation with the fingerprint detection district.
The example, use the fingerprint module to be located between second prism membrane and L CD backlight unit as an example, when the user pressed the second model in the fingerprint detection zone of standard terminal, the infrared light that L CD backlight unit sent can reflect when meetting the second model, the reverberation is with the light composition of various different incident angles, pass through the glass apron in proper order, a display panel, shine on the fingerprint module of standard terminal behind first prism membrane and the second prism membrane, the reverberation shines when first prism membrane, can be diffracted by the two-dimensional grating structure that first prism membrane and second prism membrane formed, finally form the network image on the fingerprint module of standard terminal, the fingerprint module of standard terminal will adopt the second model to press the information that the network image that forms on the fingerprint detection zone corresponds to the treater of standard terminal, make the treater of standard terminal acquire adopt the second model to press the information that the network image that forms on the fingerprint detection fingerprint module corresponds, namely benchmark formation information.
Similarly, for example, the fingerprint module is located between the second prism film and the L CD backlight module, when the user presses the second model on the fingerprint detection area of the terminal to be detected, infrared light emitted by the L CD backlight module will be reflected when encountering the second model, reflected light will be composed of light at various different incident angles, pass through the glass cover plate in sequence, the display panel, first prism film and second prism film are irradiated on the fingerprint module, reflected light is irradiated on the first prism film, will be diffracted by the two-dimensional grating structure formed by the first prism film and the second prism film, finally, a mesh image is formed on the fingerprint module of the terminal to be detected, because the first model and the second model are different, a mesh image formed on the fingerprint module when the fingerprint detection area is pressed by the first model is different from a mesh image formed on the fingerprint module when the fingerprint detection area is pressed by the second model, the fingerprint module of the terminal to be detected will use the second model to press the processor of the terminal to be detected, so that the processor of the terminal to be detected obtains information corresponding to the mesh image formed on the fingerprint module when the fingerprint detection area is pressed by the second model, namely, the processor of the fingerprint detection area, and the processor of the terminal to be detected information.
And then make the treater of terminal that awaits measuring according to the information that the netted image that obtains formed on the fingerprint module when adopting the second model to press the fingerprint detection zone time corresponds and adopt the compensation information of the fingerprint module of terminal that awaits measuring of information that the netted image that forms on the fingerprint module when the second model presses the fingerprint detection zone time corresponds.
Further, because second formation of image information and benchmark formation of image information all are the information that the fingerprint module produced when adopting the second model to press corresponding fingerprint detection zone, so when second formation of image information is different with benchmark formation of image information, be caused by at least one factor in following three factors, specific three factors are respectively: the distance between the fingerprint module of terminal that awaits measuring and the fingerprint module of the second prism membrane in the terminal that awaits measuring and the fingerprint module of benchmark terminal and the distance between the second prism membrane in the benchmark terminal, grating gate distance in the prism membrane of terminal that awaits measuring and the grating gate distance in the prism membrane of benchmark terminal, and the fingerprint module of terminal that awaits measuring does not correspond with the fingerprint detection area and has the deviation, so can calibrate first imaging information with benchmark imaging information, make the terminal that awaits measuring realize the defect in the aspect of the hardware of above-mentioned three factors through software compensation, finally make the terminal that awaits measuring possess the fingerprint identification precision the same with the hardware of standard terminal, the fingerprint identification precision that specifically is the same with the hardware of standard terminal embodies: 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 terminal that awaits measuring does not correspond and has the deviation with the fingerprint detection district, nevertheless the fingerprint identification of terminal that awaits measuring is according to the fingerprint module of reference terminal and the fingerprint detection district corresponds completely and does not have the deviation and discern to the fingerprint identification's of terminal that awaits measuring precision has been improved.
Optionally, the obtaining of the reference imaging information includes obtaining a position of each pixel point in a first image generated by the fingerprint module of the standard terminal and a brightness value corresponding to each pixel point.
Illustratively, when the second model is adopted to press the fingerprint detection area of the standard terminal, 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 further 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, so that 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.
In an example, the first image includes 2 × 2 pixels, that is, 4 pixels, where a first row has two pixels and a second row has two pixels, and the position of each pixel in the first image includes a first row first column corresponding to the first pixel, a first row second column corresponding to the second pixel, a second row first column corresponding to the third pixel, and a second row second column corresponding to the fourth pixel.
Optionally, the obtaining of the second imaging information includes obtaining a position of each pixel point in a second image generated by the fingerprint module of the terminal to be detected and a brightness value corresponding to each pixel point.
In an example, when the second model is used for pressing 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 corresponding brightness value of 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 corresponding brightness value of each pixel point.
In an example, the second image includes 2 × 2 pixels, that is, 4 pixels, where the first row has two pixels, and the second row has two pixels, and then the position of each pixel in the second image includes a first row first column corresponding to the first pixel, a first row second column corresponding to the second pixel, a second row first column corresponding to the third pixel, and a second row second column corresponding to the fourth pixel.
Further, after acquiring the position of each pixel point in the second image and the brightness value corresponding to each pixel point, the processor of the terminal to be detected can determine the compensation information according to the position of each pixel point in the second image and the brightness value corresponding to each pixel point, and the stored position of each pixel point in the first image and the brightness value corresponding to each pixel point, 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 based on the reference imaging matrix and the first imaging matrix.
For example, the positions of each pixel point in the first image correspond to one another according to the positions of elements in the reference imaging matrix, the luminance value corresponding to the first pixel point in the first image is taken as an element of a first row and a first column of the reference imaging matrix, the luminance value corresponding to the second pixel point in the first image is taken as an element of a first row and a second column of the reference imaging matrix, the luminance value corresponding to the third pixel point in the first image is taken as an element of a second row and a first column of the reference imaging matrix, and the luminance value corresponding to the fourth pixel point in the first image is taken as an element of a second row and a second column of the reference imaging matrix, that is, the reference imaging matrix is determined.
For example, the positions of each pixel point in the second image are in one-to-one correspondence according to the positions of elements in the first imaging matrix, the luminance value corresponding to the first pixel point in the second image is taken as an element of a first row and a first column of the first imaging matrix, the luminance value corresponding to the second pixel point in the second image is taken as an element of a first row and a second column of the first imaging matrix, the luminance value corresponding to the third pixel point in the second image is taken as an element of a second row and a first column of the first imaging matrix, and the luminance value corresponding to the fourth pixel point in the second image is taken as an element of a second row and a second column of the first imaging matrix, that is, the first imaging matrix is determined.
In an example, after the first imaging matrix and the reference imaging matrix are obtained, the reference imaging matrix is divided by the first imaging matrix to obtain a compensation matrix, which is the determined compensation value.
It should be noted that, when the first imaging information is the same as the reference imaging information, it indicates that the distance between the fingerprint module of the terminal to be detected and the second prism film in the terminal to be detected is the same as 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 detected 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, the obtaining of the first imaging information includes obtaining a position of each pixel point in a third image generated by the fingerprint module of the terminal to be detected and a brightness value corresponding to each pixel point.
In an example, when the first model is used for pressing 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 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 corresponding brightness value of 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 corresponding brightness value of each pixel point.
Illustratively, the third image includes 2 × 2 pixel points, that is, 4 pixel points, where the first row has two pixel points, and the second row has two pixel points, and then the position of each pixel point in the third image includes a first row first column corresponding to the first pixel point, a first row second column corresponding to the second pixel point, a second row first column corresponding to the third pixel point, and a second row second column corresponding to the fourth pixel point.
Further, after determining the compensation information of the fingerprint module of the terminal to be detected, storing the compensation information of the fingerprint module of the terminal to be detected, and calibrating the first imaging information according to the compensation information when the fingerprint module of the terminal to be detected generates the first imaging information, namely when the fingerprint module of the terminal to be detected generates the 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 corresponding brightness value of each pixel point; calibrating the second imaging matrix according to the compensation values.
For example, the positions of each pixel point in the third image are in one-to-one correspondence according to the positions of elements in the second imaging matrix, the luminance value corresponding to the first pixel point in the third image is taken as an element of a first row and a first column of the second imaging matrix, the luminance value corresponding to the second pixel point in the third image is taken as an element of a first row and a second column of the second imaging matrix, the luminance value corresponding to the third pixel point in the third image is taken as an element of a first row and a first column of the second imaging matrix, and the luminance value corresponding to the fourth pixel point in the third image is taken as an element of a second row and a second column of the second imaging matrix, that is, the second imaging matrix is determined.
The example, with compensation matrix multiplication second imaging matrix, realize the calibration to second imaging matrix, and then regard the imaging matrix after the calibration as the user and adopt first model to press the fingerprint detection zone time of terminal that awaits measuring, the information that the network that the fingerprint module group of terminal that awaits measuring generated corresponds has improved fingerprint identification's precision.
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 acquired first image into a plurality of pixel groups according to the calibration time, sum the luminance values corresponding to each pixel point in the pixel groups and then divide the sum by the number of the pixel points in the pixel groups to finally obtain the luminance average values corresponding to the plurality of pixel groups, and determine the reference imaging matrix according to the luminance average values corresponding to the plurality of pixel groups in the first image; the same method is adopted to determine the first imaging matrix according to the brightness average values corresponding to the multiple pixel groups in the second image, the same method is adopted to determine the second imaging matrix according to the brightness average values corresponding to the multiple pixel groups in the third image, then 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 embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods.
Fig. 6a is a schematic structural diagram illustrating a fingerprint identification calibration apparatus 60 according to an exemplary embodiment, where the apparatus 60 may be implemented as part of or all of an electronic device through software, hardware, or a combination of the two. As shown in fig. 6a, the calibration apparatus 60 for fingerprint identification includes a first obtaining module 601, a second obtaining module 602, and a calibration module 603.
The first obtaining module 601 is configured to obtain first imaging information, where the first imaging information is information generated by a fingerprint module of a terminal to be detected when the fingerprint detection area of the terminal to be detected is pressed by using a first model.
And a second obtaining module 602, configured to obtain compensation information of the fingerprint module of the terminal to be tested.
A calibration module 603, 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 determination module 604 includes a first acquisition sub-module 6041, a second acquisition sub-module 6042, and a first determination sub-module 6043.
The first obtaining sub-module 6041 is configured to obtain second imaging information; and the second imaging information is information generated by the fingerprint module of the terminal to be detected when the fingerprint detection area of the terminal to be detected is pressed by adopting a second model.
The second obtaining sub-module 6042 is configured to obtain reference imaging information; the reference imaging information is information 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 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 submodule 6042 comprises a first acquisition unit 60421, the first acquisition submodule 6041 comprises a second acquisition unit 60411, and the first determination submodule 6043 comprises 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 point in a first image generated by the fingerprint module of the standard terminal and a brightness value corresponding to each pixel point.
The second obtaining unit 60411 is configured to obtain a position of each pixel point in a second image generated by the fingerprint module of the terminal to be detected and a brightness value corresponding to each pixel point.
The first determining unit 60431 is configured to determine 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.
The second determining unit 60432 is configured to determine the first imaging matrix according to the position of each pixel point in the second image and the brightness value corresponding to each pixel point.
The third determining unit 60433 is configured to determine a compensation value based on 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 submodule 6011, and the calibration module 603 includes a second determination submodule 6031 and a calibration submodule 6032.
The third obtaining submodule 6011 is configured to obtain a position of each pixel point in a third image generated by the fingerprint module of the terminal to be detected and a brightness value corresponding to each pixel point.
The second determining submodule 6031 is configured to determine 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.
The calibration sub-module 6032 is configured to calibrate the second imaging matrix according to the compensation value.
The embodiment of the disclosure provides a fingerprint identification's calibrating device, when the fingerprint module at the terminal that awaits measuring needs to be calibrated, the user can press first model in the fingerprint detection area at the terminal that awaits measuring, make L CD backlight unit infrared light that sends reflect to the fingerprint module through first model, and then can acquire the first imaging information that the fingerprint module generated, and when acquiring the compensation information of the fingerprint module at the terminal that awaits measuring, calibrate first imaging information according to compensation information, the fingerprint identification's at the terminal that awaits measuring calibration has been realized, fingerprint identification's precision has been improved.
The embodiment of the present disclosure provides a calibration apparatus for fingerprint identification, which includes:
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 information 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 the fingerprint module of the terminal to be detected;
and calibrating the first imaging information according to the compensation information.
In one embodiment, the processor may be further configured to: and determining the compensation information of the fingerprint module of the terminal to be detected.
In one embodiment, the processor may be further configured to: acquiring second imaging information; the second imaging information is information generated by a fingerprint module of the terminal to be detected when a second model is adopted to press the fingerprint detection area of the terminal to be detected;
acquiring reference imaging information; the reference imaging information is information generated by a fingerprint module of a 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 processor may be further configured to: acquiring the position of each pixel point in a first image generated by a fingerprint module of the standard terminal and the brightness value corresponding to each pixel point;
acquiring the position of each pixel point in a second image generated by the fingerprint module of the terminal to be detected and the brightness value corresponding to each pixel point;
determining a reference imaging matrix according to the position of each pixel point in the first image and the corresponding brightness value of 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 processor may be further configured to: acquiring the position of each pixel point in a third image generated by the fingerprint module of the terminal to be detected and the brightness value corresponding to each pixel point;
determining a second imaging matrix according to the position of each pixel point in the third image and the corresponding brightness value of each pixel point;
calibrating the second imaging matrix according to the compensation values.
The embodiment of the disclosure provides a fingerprint identification's calibrating device, when the fingerprint module at the terminal that awaits measuring needs to be calibrated, the user can press first model in the fingerprint detection area at the terminal that awaits measuring, make L CD backlight unit infrared light that sends reflect to the fingerprint module through first model, and then can acquire the first imaging information that the fingerprint module generated, and when acquiring the compensation information of the fingerprint module at the terminal that awaits measuring, calibrate first imaging information according to compensation information, the fingerprint identification's at the terminal that awaits measuring calibration has been realized, fingerprint identification's precision has been improved.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Fig. 7 is a block diagram illustrating an electronic device 700 including the fingerprint recognition calibration apparatus according to an exemplary embodiment, and the electronic device is suitable for a terminal. For example, the electronic device 700 may be a mobile phone, a computer, a tablet device, and the like.
The processing component 701 generally controls the overall operation of the electronic device 700, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 701 may include one or more processors 720 to execute instructions to perform all or a portion of the steps of the methods described above. Further, processing component 701 may include one or more modules that facilitate interaction between 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 non-volatile 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 disks.
The power supply component 703 provides power to the various components of the electronic device 700, including the power supply circuitry described in the embodiments above. The power 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 a user that provides an output interface, in some embodiments, the screen may include a liquid crystal display (L CD) 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 the user.
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 further be stored in the memory 702 or transmitted via the communication component 708. In some embodiments, audio component 705 also includes 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 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 component 707 includes one or more sensors for providing various aspects of state assessment for the electronic device 700. For example, the sensor assembly 707 may detect an open/closed state of the electronic device 700, the relative positioning of components, such as a display and keypad of the electronic device 700, the sensor assembly 707 may also detect a change in the position of the electronic device 700 or a component of the electronic device 700, the presence or absence of user contact with the electronic device 700, orientation or acceleration/deceleration of the electronic device 700, and a change in the temperature of the electronic device 700. The sensor assembly 707 may include a proximity sensor configured to detect the presence of a nearby object 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 gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 708 is configured to facilitate wired or wireless communication between the electronic device 700 and other devices. 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 an exemplary embodiment, the communication component 708 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an 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 (P L D), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer-readable storage medium comprising instructions, such as the memory 702 comprising instructions, executable by the processor 720 of the electronic device 700 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
The disclosed embodiments provide a non-transitory computer-readable storage medium, wherein instructions in the storage medium, when executed by a processor of a terminal, enable the terminal to perform the above-mentioned calibration method for fingerprint identification, the method including:
acquiring first imaging information, wherein the first imaging information is information 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 the fingerprint module of the terminal to be detected;
and calibrating the first imaging information according to the compensation information.
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 detected.
In an 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 information generated by a fingerprint module of the terminal to be detected when a second model is adopted to press the fingerprint detection area of the terminal to be detected;
acquiring reference imaging information; the reference imaging information is information generated by a fingerprint module of a 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 of the reference imaging information comprises:
acquiring the position of each pixel point in a first image generated by a fingerprint module of the standard terminal and the brightness value corresponding to each pixel point;
the acquiring second imaging information includes:
acquiring the position of each pixel point in a second image generated by the fingerprint module of the terminal to be detected and the brightness value corresponding to each pixel point;
the determining the compensation information from the second imaging information and the reference imaging information comprises:
determining a reference imaging matrix according to the position of each pixel point in the first image and the corresponding brightness value of 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 first imaging information comprises:
acquiring the position of each pixel point in a third image generated by the fingerprint module of the terminal to be detected and the brightness value corresponding to each pixel point;
the calibrating the first imaging information according to the compensation information comprises:
determining a second imaging matrix according to the position of each pixel point in the third image and the corresponding brightness value of each pixel point;
calibrating the second imaging matrix according to the compensation values.
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 variations, 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 will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (12)
1. A fingerprint identification calibration method is characterized by being applied to a terminal configured with an L CD display screen, wherein the L CD 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 a L CD backlight module which are sequentially arranged, light emitted by the L CD 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 deviated from the first prism film, and the method comprises the following steps:
acquiring first imaging information, wherein the first imaging information is information 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 the fingerprint module of the terminal to be detected;
and calibrating the first imaging information according to the compensation information.
2. The method of claim 1, further comprising, prior to said acquiring first imaging information:
and determining the compensation information of the fingerprint module of the terminal to be detected.
3. The method according to claim 2, wherein the determining the compensation information of the fingerprint module of the terminal under test comprises:
acquiring second imaging information; the second imaging information is information generated by a fingerprint module of the terminal to be detected when a second model is adopted to press the fingerprint detection area of the terminal to be detected;
acquiring reference imaging information; the reference imaging information is information generated by a fingerprint module of a 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.
4. The method of claim 3, wherein the acquiring reference imaging information comprises:
acquiring the position of each pixel point in a first image generated by a fingerprint module of the standard terminal and the brightness value corresponding to each pixel point;
the acquiring second imaging information includes:
acquiring the position of each pixel point in a second image generated by the fingerprint module of the terminal to be detected and the brightness value corresponding to each pixel point;
the determining the compensation information from the second imaging information and the reference imaging information comprises:
determining a reference imaging matrix according to the position of each pixel point in the first image and the corresponding brightness value of 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.
5. The method of claim 4, wherein the acquiring first imaging information comprises:
acquiring the position of each pixel point in a third image generated by the fingerprint module of the terminal to be detected and the brightness value corresponding to each pixel point;
the calibrating the first imaging information according to the compensation information comprises:
determining a second imaging matrix according to the position of each pixel point in the third image and the corresponding brightness value of each pixel point;
calibrating the second imaging matrix according to the compensation values.
6. A fingerprint identification calibration device, comprising:
the first acquisition module is used for acquiring first imaging information, wherein the first imaging information is information 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;
the second acquisition module is used for acquiring compensation information of the fingerprint module of the terminal to be detected;
and the calibration module is used for calibrating the first imaging information according to the compensation information.
7. The apparatus of claim 6, further comprising a determination module;
and the determining module is used for determining the compensation information of the fingerprint module of the terminal to be tested.
8. The apparatus of claim 7, wherein the determining module comprises a first obtaining sub-module, a second obtaining sub-module, and a first determining sub-module;
the first obtaining submodule is used for obtaining second imaging information; the second imaging information is information generated by a fingerprint module of the terminal to be detected when a second model is adopted to press the fingerprint detection area of the terminal to be detected;
the second obtaining submodule is used for obtaining reference imaging information; the reference imaging information is information generated by a fingerprint module of a standard terminal when the second model is adopted to press the fingerprint detection area of the standard terminal;
the first determining sub-module is configured to determine the compensation information according to the second imaging information and the reference imaging information.
9. The apparatus of claim 8, wherein the second obtaining sub-module comprises a first obtaining unit, the first obtaining sub-module comprises a second obtaining unit, and the first determining sub-module comprises a first determining unit, a second determining unit, and a third determining unit;
the first obtaining unit is used for obtaining the position of each pixel point in a first image generated by the fingerprint module of the standard terminal and the brightness value corresponding to each pixel point;
the second obtaining unit is used for obtaining the position of each pixel point in a second image generated by the fingerprint module of the terminal to be tested and the brightness value corresponding to each pixel point;
the first determining unit is configured to determine 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;
the second determining unit is configured to determine 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;
the third determining unit is configured to determine a compensation value according to the reference imaging matrix and the first imaging matrix.
10. The apparatus of claim 9, 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;
the third obtaining submodule is used for obtaining the position of each pixel point in a third image generated by the fingerprint module of the terminal to be tested and the brightness value corresponding to each pixel point;
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 corresponding brightness value of each pixel point;
the calibration sub-module is configured to calibrate the second imaging matrix according to the compensation value.
11. A fingerprint identification calibration device, comprising:
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 information 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 the fingerprint module of the terminal to be detected;
and calibrating the first imaging information according to the compensation information.
12. A computer-readable storage medium having stored thereon computer instructions, which when executed by a processor, perform the steps of the method of any one of claims 1 to 5.
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