CN110189367B - Calibration method and related equipment - Google Patents
Calibration method and related equipment Download PDFInfo
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- CN110189367B CN110189367B CN201910459506.1A CN201910459506A CN110189367B CN 110189367 B CN110189367 B CN 110189367B CN 201910459506 A CN201910459506 A CN 201910459506A CN 110189367 B CN110189367 B CN 110189367B
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- G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
- G06T7/33—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
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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 application discloses a calibration method and related equipment, which are applied to electronic equipment comprising a touch screen and a fingerprint sensor, wherein the method comprises the following steps: acquiring a fingerprint through the fingerprint sensor to obtain a first fingerprint image; determining a first ratio based on a signal value set of a first region in the first fingerprint image and a signal value set of a second region in a second fingerprint image, wherein the first ratio is used for representing brightness variation of a light source used for fingerprint acquisition, the second fingerprint image is acquired by performing fingerprint calibration test before the electronic equipment leaves a factory, and a screen position corresponding to the first region is consistent with a screen position corresponding to the second region; and calibrating the first fingerprint image based on the first ratio to obtain a third fingerprint image. By adopting the fingerprint verification method and device, the quality of the fingerprint image subsequently used for fingerprint verification can be improved.
Description
Technical Field
The present application relates to the field of electronic technologies, and in particular, to a calibration method and related apparatus.
Background
The requirements of the optical fingerprint under the screen on the stability of ambient light and light paths are high, and the calibration needs to be performed before electronic equipment (such as a smart phone, a tablet personal computer and the like) leaves a factory, for example, background noise can be eliminated by using a differential calibration scheme of a calibration box with two fixed reflecting surfaces of light and dark. However, factors such as aging of a display screen or background difference of an unlocking interface of the electronic device in the actual use process can cause brightness change in the fingerprint sensing area during image acquisition, and at this time, if a fixed background Noise is subtracted, Signal Noise Ratio (SNR) loss and even a grid formed by Touch Panel (TP) wiring can be caused.
Disclosure of Invention
The embodiment of the application provides a calibration method and related equipment, which are used for improving the quality of fingerprint images used for fingerprint verification subsequently.
In a first aspect, an embodiment of the present application provides a calibration method, which is applied to an electronic device including a touch screen and a fingerprint sensor, and the method includes:
acquiring a fingerprint through the fingerprint sensor to obtain a first fingerprint image;
determining a first ratio based on a signal value set of a first region in the first fingerprint image and a signal value set of a second region in a second fingerprint image, wherein the first ratio is used for representing brightness variation of a light source used for fingerprint acquisition, the second fingerprint image is acquired by performing fingerprint calibration test before the electronic equipment leaves a factory, and a screen position corresponding to the first region is consistent with a screen position corresponding to the second region;
and calibrating the first fingerprint image based on the first ratio to obtain a third fingerprint image.
In a second aspect, an embodiment of the present application provides a calibration apparatus, which is applied to an electronic device including a touch screen and a fingerprint sensor, the apparatus including:
the fingerprint acquisition unit is used for acquiring fingerprints through the fingerprint sensor to obtain a first fingerprint image;
a fingerprint image calibration unit, configured to determine a first ratio based on a signal value set of a first region in the first fingerprint image and a signal value set of a second region in a second fingerprint image, where the first ratio is used to characterize a brightness change of a light source used for fingerprint acquisition, the second fingerprint image is acquired by performing a fingerprint calibration test before the electronic device leaves a factory, and a screen position corresponding to the first region is consistent with a screen position corresponding to the second region; and calibrating the first fingerprint image based on the first ratio to obtain a third fingerprint image.
In a third aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing steps in the method according to the first aspect of the embodiment of the present application.
In a fourth aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program makes a computer perform some or all of the steps described in the method according to the first aspect of the present application.
In a fifth aspect, the present application provides a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, where the computer program is operable to cause a computer to perform some or all of the steps described in the method according to the first aspect of the present application. The computer program product may be a software installation package.
It can be seen that, in the embodiment of the present application, a first ratio is determined based on a signal value set of a first region in an acquired fingerprint image and a signal value set of a second region in a calibration fingerprint image, where the first ratio is used to represent a brightness change of a light source used for fingerprint acquisition, a screen position corresponding to the first region is consistent with a screen position corresponding to the second region, and then the acquired fingerprint image is adaptively calibrated based on the determined first ratio, so that an actual brightness change of the light source used for fingerprint acquisition can be adaptively calibrated based on the acquired fingerprint image, the quality of a subsequent fingerprint image used for fingerprint verification is improved, and further a False Rejection Rate (FRR) is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1A is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;
FIG. 1B is a schematic diagram of a position relationship between a fingerprint sensor and a fingerprint collection area according to an embodiment of the present application;
fig. 2A is a schematic flowchart of a calibration method according to an embodiment of the present application;
fig. 2B is a schematic diagram of a pixel pattern with or without a TP routing area according to an embodiment of the present disclosure;
FIG. 2C is a schematic diagram of a dark surface of a calibration box according to an embodiment of the present disclosure;
FIG. 3 is a schematic flow chart of another calibration method provided in the embodiments of the present application;
fig. 4 is a schematic structural diagram of an electronic device provided in an embodiment of the present application;
fig. 5 is a schematic structural diagram of a calibration apparatus according to an embodiment of the present application.
Detailed Description
The terminology used in the description of the embodiments section of the present application is for the purpose of describing particular embodiments of the present application only and is not intended to be limiting of the present application. The terms "first," "second," "third," and "fourth," etc. in the description and claims of this application and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions.
Electronic devices may include various handheld devices, vehicle mounted devices, wearable devices, computing devices or other processing devices connected to a wireless modem with wireless communication capabilities, as well as various forms of User Equipment (UE), Mobile Stations (MS), terminal Equipment (terminal device), and so forth.
Referring to fig. 1A, fig. 1A is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure, where the electronic device includes a processor, a Memory, a signal processor, a communication interface, a touch screen, a speaker, a microphone, a Random Access Memory (RAM), a camera, a sensor, and the like.
The processor may also be an AP processor, or may also be another processor.
The storage, the signal processor, the touch screen, the loudspeaker, the microphone, the RAM, the camera and the sensor are connected with the processor, and the communication interface is connected with the signal processor.
The Touch screen comprises a display screen and a Touch Panel (TP), and the Touch screen comprises a fingerprint acquisition area. The TP includes metal traces that form a grid. The fingerprint acquisition area is an area in the touch screen, namely a large area with the size capable of being pressed by a plurality of fingers at the same time; alternatively, the fingerprint collection area is a small area of the touch screen that can be pressed by only a single finger, and is not limited herein. The position of the fingerprint collection area may be a middle area of the touch screen, an upper partial area of the touch screen, a lower partial area of the touch screen, and the like, which is not limited herein.
Wherein, the sensor comprises a fingerprint sensor, an infrared sensor, a gyroscope and the like. The fingerprint sensor is an optical fingerprint sensor, and the fingerprint sensor may be disposed below the fingerprint acquisition area (as shown in fig. 1B), or may not be disposed below the fingerprint acquisition area (as integrated in a touch screen, etc.), which is not limited herein. In the case where the fingerprint sensor is disposed below the fingerprint acquisition area, the fingerprint sensor is capable of acquiring an optical signal within the fingerprint acquisition area.
Wherein, the finger of putting on fingerprint collection area is shone to the light that utilizes the fingerprint collection area to send under the regional screen of fingerprint collection principle, and the reflection takes place when the light that the fingerprint collection area sent reaches the finger, sets up the fingerprint sensor who gathers the regional below in the fingerprint and receives the light signal of reflection, because the uneven line of fingerprint, light absorption range is different to obtain the fingerprint image of light and shade difference.
In the embodiment of the application, the processor is used for acquiring fingerprints through the fingerprint sensor to obtain a first fingerprint image; determining a first ratio based on a signal value set of a first region in the first fingerprint image and a signal value set of a second region in a second fingerprint image, wherein the first ratio is used for representing brightness change of a light source used for fingerprint acquisition, the second fingerprint image is acquired before the electronic equipment leaves a factory, and a screen position corresponding to the first region is consistent with a screen position corresponding to the second region; and calibrating the first fingerprint image based on the first ratio to obtain a third fingerprint image.
In an implementation of the application, in determining the first ratio based on the set of signal values of the first region of the first fingerprint image and the set of signal values of the second region of the second fingerprint image, the processor is specifically configured to:
determining a first average signal value of the first region based on the signal value set of the first region, determining first difference values between the first average signal value and the signal value of each pixel point included in the first region, and performing average value calculation based on the determined first difference values to obtain a first difference average value;
determining a second average signal value of the second region based on the signal value set of the second region, determining a second difference value between the second average signal value and the signal value of each pixel point included in the second region, and performing average calculation based on the determined second difference value to obtain a second difference average value;
and taking the ratio of the first difference average value to the second difference average value as a first ratio.
In an implementation manner of the present application, in calibrating the first fingerprint image based on the first ratio to obtain a third fingerprint image, the processor is specifically configured to:
performing image calibration based on the signal value matrix of the first fingerprint image, the first ratio, the signal value matrix of the first calibration image and the first function to obtain a third fingerprint image, wherein the first calibration image is an image obtained by collecting a dark surface of a calibration box;
the first function is: r1 ═ Raw-k RL, where r1 is the matrix of signal values of the fingerprint image after calibration, k is the ratio, Raw is the matrix of signal values of the fingerprint image before calibration, and RL is the matrix of signal values of the calibration image.
In an implementation of the application, prior to determining the first ratio based on the set of signal values of the first region in the first fingerprint image and the set of signal values of the second region in the second fingerprint image, the processor is further configured to: performing image calibration based on the signal value matrix of the first fingerprint image, the signal value matrix of the first calibration image, and a second function to obtain the fourth fingerprint image, where the second function is: r2 ═ Raw-RL, wherein r2 is the matrix of signal values of the fingerprint image after calibration, Raw is the matrix of signal values of the fingerprint image before calibration, and RL is the matrix of signal values of the calibration image; determining that fingerprint verification using the fourth fingerprint image fails.
In an implementation of the application, prior to determining the first ratio based on the set of signal values of the first region in the first fingerprint image and the set of signal values of the second region in the second fingerprint image, the processor is further configured to: and determining the event to be unlocked corresponding to the fingerprint acquisition as a set unlocking event.
In an implementation manner of the present application, before determining the first ratio based on the signal value set of the first region in the first fingerprint image and the signal value set of the second region in the second fingerprint image, the processor is further configured to determine that a fourth difference between the first average signal value and the third average signal value is greater than or equal to a first threshold, where the third average signal value is an average signal value of a third region in a fifth fingerprint image, the fifth fingerprint image is a fingerprint image acquired last time, and a screen position corresponding to the first region is consistent with a screen position corresponding to the third region.
In one implementation of the present application, the processor is further configured to:
and when the fourth difference is smaller than the first threshold, calibrating the first fingerprint image based on a second ratio to obtain a sixth fingerprint image, wherein the second ratio is used for representing the brightness change of a light source used for fingerprint acquisition, and the second ratio is used for calibrating the fifth fingerprint image.
It should be noted that, specific implementation procedures of the steps executed by the modules may refer to specific implementation procedures described in the following methods, and are not described herein.
Referring to fig. 2A, fig. 2A is a schematic flowchart of a calibration method provided in an embodiment of the present application, and the method is applied to the electronic device, and the method includes:
step 201: the electronic equipment acquires a fingerprint through the fingerprint sensor to obtain a first fingerprint image.
Step 202: the electronic device determines a first ratio based on a set of signal values for a first region in the first fingerprint image and a set of signal values for a second region in the second fingerprint image.
The first ratio is used for representing brightness change of a light source used for fingerprint collection, and the screen position corresponding to the first area is consistent with the screen position corresponding to the second area. The light source used for fingerprint acquisition can be the brightness of the fingerprint sensing area + the background brightness, or other separate light sources.
Wherein the signal value set of the first region includes a signal value of each pixel point of the first region. The set of signal values of the second region comprises signal values of each pixel point of the second region.
The signal value refers to a signal value sensed by the fingerprint sensor when acquiring a fingerprint image, and the signal value is, for example, an ADC (Analog-to-Digital Converter) value. When the fingerprint image is collected, a plurality of signal values are sensed by the fingerprint sensor, and each signal value corresponds to one pixel point of the collected fingerprint image.
The second fingerprint image is acquired by the fingerprint sensor when the electronic device is subjected to a fingerprint calibration test before leaving the factory, namely the second fingerprint image refers to a fingerprint image acquired before the display screen is not aged. The second fingerprint image is stored in the electronic device in advance.
Specifically, before fingerprint verification, image processing needs to be performed on a fingerprint image acquired by a fingerprint sensor. The key step in the image processing process of the fingerprint image is to remove background noise (including background noise caused by dark current and reflection in a display screen) formed by non-finger reflection. The second fingerprint image is the fingerprint image before background noise elimination, that is, the second fingerprint image is the fingerprint image before calibration.
And the screen position corresponding to the first area is consistent with the screen position corresponding to the second area. For example, if the screen position corresponding to the first area is an area a in the touch screen, the screen position corresponding to the second area is also an area a in the touch screen.
The size of the first region and the second region may be 60 × 60 pixels, or 80 × 80 pixels, or 50 × 60 pixels, or 70 × 80 pixels, etc.
In an implementation manner of the present application, the specific implementation manner of step 202 is as follows:
the electronic equipment determines a first average signal value of the first area based on the signal value set of the first area, determines first difference values of the first average signal value and the signal value of each pixel point included in the first area, and performs average value calculation based on the determined first difference values to obtain a first difference average value; the electronic equipment determines a second average signal value of the second area based on the signal value set of the second area, determines a second difference value between the second average signal value and the signal value of each pixel point included in the second area, and performs average calculation based on the determined second difference value to obtain a second difference average value; and the electronic equipment takes the ratio of the first difference average value to the second difference average value as a first ratio.
Specifically, the finger texture emission signal and the background noise will both change when the brightness of the fingerprint sensing area changes, and misalignment will occur if the background in the calibrated brightness (HBM mode) is also subtracted for the fixed calibration scheme. The signal value of the image signal is proportional to the brightness, as verified by the optical basis and the actual test data. The background noise of the image is mainly derived from the dark current of a photosensitive diode of the sensor, the value of the image acquisition is fluctuated in a small range for a fixed integration time, and the relative reflection signal can be considered to be fixed. The variation in the background noise of the image is therefore mainly due to the variation of the emitted signal within the screen. The rigid OLED screen is provided with a layer of TP pattern metal wiring, so that a certain difference exists between a pixel area projected by wiring and a pixel signal without wiring, and TP wiring grids can be displayed when serious calibration distortion exists in an image.
The pixel pattern of the corresponding TP routing area and the non-TP routing area of the fingerprint sensor is shown in fig. 2B, and under the same light source, the signal values sensed by the fingerprint sensor are respectively: p1And P2。
Suppose the penetration of a TP traceThe light rate is λ, then P2＝λP1。
Then, the difference between the pixel signal values of the TP routing area and the pixel signal value of the non-TP routing area is: Δ P ═ P1-P2＝(1-λ)P1。
When the brightness of the light source is attenuated by eta, P1'＝ηP1，P2'＝ηP2；
At this time, the difference between the signal values of the pixels in the TP routing area is:
ΔP'＝P1'-P2'＝P1'-λP1'＝(1-λ)P1'＝η(1-λ)P1
according to the formula, the following formula is obtained:
in summary, under the condition that the pixel of the TP routing area is equal to or not, the change of the difference value can represent the change of the brightness of the fingerprint sensing area. The ratio of the first average signal value of the first area of the first fingerprint image to the second average signal value of the second area of the second fingerprint image can thus be used to characterize the brightness variation during sampling and calibration.
For example, if the first average signal value of the first region is a, the first average signal value of the second region is b, and the first region and the second region both include 300 pixels, then the first difference between the first average signal value and the signal value of each pixel included in the first region is 300, and the second difference between the second average signal value and the signal value of each pixel included in the second region is also 300. If the first average difference value calculated based on the 300 first difference values is c and the first average difference value calculated based on the 300 second difference values is d, the first ratio is c/d.
Step 203: and the electronic equipment calibrates the first fingerprint image based on the first ratio to obtain a third fingerprint image.
In an implementation manner of the present application, the specific implementation manner of step 203 includes:
the electronic equipment carries out image calibration based on the signal value matrix of the first fingerprint image, the first ratio, the signal value matrix of the first calibration image and the first function to obtain a third fingerprint image, wherein the first calibration image is an image obtained by collecting a dark surface of a calibration box; the first function is: r1 ═ Raw-k RL, where r1 is the matrix of signal values of the fingerprint image after calibration, k is the ratio, Raw is the matrix of signal values of the fingerprint image before calibration, and RL is the matrix of signal values of the calibration image.
And when the first calibration image and the second fingerprint image are acquired, the brightness of the light source is consistent, and the first calibration image is stored in the electronic equipment in advance. A schematic of the dark surface of the calibration box is shown in fig. 2C. The matrix of signal values of the first fingerprint image is composed on the basis of the signal values of each pixel of the first fingerprint image. The matrix of signal values of the first calibration image is composed based on the signal values of each pixel of the first calibration image.
The number of rows and the number of columns of the signal value matrix of the first fingerprint image, the signal value matrix of the first calibration image and the signal value matrix of the third fingerprint image are the same.
The signal value matrix of the third fingerprint image comprises an element i, the signal value matrix of the first fingerprint image comprises an element j, the signal value matrix of the first calibration image comprises an element k, the positions of the element i, the element j and the element k in the matrix are consistent, the element i is any one of the signal value matrices of the third fingerprint image, the element j is any one of the signal value matrices of the first fingerprint image, and the element k is any one of the signal value matrices of the first calibration image.
It can be seen that, in the embodiment of the present application, a first ratio is determined based on a signal value set of a first region in an acquired fingerprint image and a signal value set of a second region in a calibration fingerprint image, where the first ratio is used to represent a brightness change of a light source used for fingerprint acquisition, a screen position corresponding to the first region is consistent with a screen position corresponding to the second region, and then the acquired fingerprint image is calibrated adaptively based on the determined first ratio, so that the fingerprint image is calibrated adaptively based on the actual brightness change of the light source used for fingerprint acquisition, the quality of a subsequent fingerprint image used for fingerprint verification is improved, and further the false rejection rate FRR is reduced.
In an implementation manner of the present application, before step 202, the method further includes: the electronic device performs image calibration based on the signal value matrix of the first fingerprint image, the signal value matrix of the first calibration image, and a second function to obtain the fourth fingerprint image, where the second function is: r2 ═ Raw-RL, wherein r2 is the matrix of signal values of the fingerprint image after calibration, Raw is the matrix of signal values of the fingerprint image before calibration, and RL is the matrix of signal values of the calibration image; determining that fingerprint verification using the fourth fingerprint image fails.
The number of rows and the number of columns of the signal value matrix of the first fingerprint image, the signal value matrix of the first calibration image and the signal value matrix of the fourth fingerprint image are the same.
The signal value matrix of the fourth fingerprint image comprises a matrix element x, the signal value matrix of the first fingerprint image comprises a matrix element y, the signal value matrix of the first calibration image comprises a matrix element z, the positions of the matrix element x, the matrix element y and the matrix element z in the matrix are consistent, the matrix element x is any one of the signal value matrices of the fourth fingerprint image, the matrix element y is any one of the signal value matrices of the first fingerprint image, and the matrix element z is any one of the signal value matrices of the first calibration image.
It can be seen that, in the embodiment of the present application, since a certain time is required for determining the first ratio, and the fourth fingerprint image obtained by calibrating the first fingerprint image based on the second function does not always pass the fingerprint verification, the fourth fingerprint image is used to perform the fingerprint verification first, and if the verification fails, the steps 202 to 203 are performed, so that the power consumption of the electronic device can be saved to some extent.
In an implementation manner of the present application, before step 202, the method further includes: the electronic equipment determines that the event to be unlocked corresponding to the fingerprint collection is a set unlocking event.
And setting the matching degree of the fingerprint verification required by the unlocking event to be greater than or equal to a second threshold value. The set unlocking event includes, for example, a fingerprint payment event, a fingerprint start event of a specific application (e.g., QQ, wechat, pay pal, etc.), a screen unlocking event, and the like.
It can be seen that, in the embodiment of the present application, since a certain time is required for determining the first ratio, and the matching degrees of fingerprint verification required by all events to be unlocked are not very high, steps 202 to 203 are only executed when the event to be unlocked corresponding to the fingerprint collection is a set unlocking event, so that the power consumption of the electronic device can be saved to some extent.
In an implementation manner of the present application, before step 202, the method further includes: the electronic equipment determines that a fourth difference value between the first average signal value and a third average signal value is greater than or equal to a first threshold value, the third average signal value is an average signal value of a third area in a fifth fingerprint image, the fifth fingerprint image is a fingerprint image acquired last time, and a screen position corresponding to the first area is consistent with a screen position corresponding to the third area.
The fifth fingerprint image is the fingerprint image before background noise elimination, that is, the fifth fingerprint image is the fingerprint image before calibration based on the second ratio.
In an implementation manner of the present application, the method further includes:
when the fourth difference is smaller than the first threshold, the electronic device calibrates the first fingerprint image based on a second ratio to obtain a sixth fingerprint image, where the second ratio is used to represent a brightness change of a light source used for fingerprint acquisition, and the second ratio is used to calibrate the fifth fingerprint image.
It should be noted that the specific implementation of calibrating the first fingerprint image based on the second ratio to obtain the sixth fingerprint image is the same as the specific implementation of calibrating the first fingerprint image based on the first ratio to obtain the third fingerprint image, and therefore, the detailed description thereof is omitted here.
It can be seen that, in the embodiment of the present application, since a certain time is required for determining the first ratio, when the difference between the average signal values of the fingerprint image acquired this time and the fingerprint image acquired last time is large, steps 202 to 203 are executed, so that the power consumption of the electronic device can be saved to some extent. In addition, if the difference between the average signal values of the fingerprint image acquired this time and the fingerprint image acquired last time is small, the fingerprint image acquired this time is calibrated based on the ratio used for calibrating the fingerprint image acquired last time, and the ratio does not need to be calculated again, so that the power consumption of the electronic equipment can be saved to some extent.
In an implementation manner of the present application, before step 202, the method further includes:
the electronic equipment determines that the acquisition time of the fifth fingerprint image is greater than or equal to a third threshold from the current system time.
In an implementation manner of the present application, the method further includes:
and when the acquisition time of the fifth fingerprint image is less than the third threshold value from the current system time, the electronic equipment calibrates the first fingerprint image based on the second ratio to obtain a seventh fingerprint image.
It should be noted that the specific implementation of calibrating the first fingerprint image based on the second ratio to obtain the sixth fingerprint image is the same as the specific implementation of calibrating the first fingerprint image based on the first ratio to obtain the third fingerprint image, and therefore, the detailed description thereof is omitted here.
It can be seen that, in the embodiment of the present application, since a certain time is required for determining the first ratio, when the distance between the acquisition time of the fingerprint image acquired this time and the acquisition time of the fingerprint image acquired last time is longer, steps 202 to 203 are executed, so that power consumption of the electronic device can be saved to some extent. In addition, if the acquisition time distance between the fingerprint image acquired this time and the fingerprint image acquired last time is shorter, the fingerprint image acquired this time is calibrated based on the ratio used for calibrating the fingerprint image acquired last time, and the ratio does not need to be calculated again, so that the power consumption of the electronic equipment can be saved to some extent.
Referring to fig. 3, fig. 3 is a schematic flowchart of a calibration method according to an embodiment of the present application, applied to the electronic device, where the calibration method includes:
step 301: the electronic equipment acquires a fingerprint through the fingerprint sensor to obtain a first fingerprint image.
Step 302: the electronic equipment determines whether a fourth difference value between the first average signal value and a third average signal value is greater than or equal to a first threshold value, the third average signal value is an average signal value of a third area in a fifth fingerprint image, the fifth fingerprint image is a fingerprint image acquired last time, and a screen position corresponding to the first area is consistent with a screen position corresponding to the third area.
If yes, go to step 303.
If not, go to step 307.
Step 303: the electronic equipment determines a first average signal value of the first area based on the signal value set of the first area, determines first difference values of the first average signal value and the signal value of each pixel point included in the first area, and performs average calculation based on the determined first difference values to obtain a first difference average value.
Step 304: the electronic equipment determines a second average signal value of the second area based on the signal value set of the second area, determines a second difference value between the second average signal value and the signal value of each pixel point included in the second area, and performs average calculation based on the determined second difference value to obtain a second difference average value.
Step 305: and the electronic equipment takes the ratio of the first difference average value to the second difference average value as a first ratio.
Step 306: and the electronic equipment carries out image calibration based on the signal value matrix of the first fingerprint image, the first ratio, the signal value matrix of the first calibration image and the first function to obtain the third fingerprint image, wherein the first calibration image is an image obtained by collecting a dark surface of a calibration box.
The first function is: r1 ═ Raw-k RL, where r1 is the matrix of signal values of the fingerprint image after calibration, k is the ratio, Raw is the matrix of signal values of the fingerprint image before calibration, and RL is the matrix of signal values of the calibration image.
Step 307: the electronic equipment calibrates the first fingerprint image based on a second ratio to obtain a sixth fingerprint image, wherein the second ratio is used for representing brightness change of a light source used for fingerprint acquisition, and the second ratio is used for calibrating the fifth fingerprint image.
Step 308: the electronic device performs fingerprint verification based on the calibrated fingerprint image.
It should be noted that, for the specific implementation process of the present embodiment, reference may be made to the specific implementation process described in the above method embodiment, and a description thereof is omitted here.
Consistent with the embodiments shown in fig. 2A and fig. 3, please refer to fig. 4, and fig. 4 is a schematic structural diagram of an electronic device provided in an embodiment of the present application, where as shown, the electronic device includes a touch screen and a fingerprint sensor, the electronic device further includes a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for performing the following steps:
acquiring a fingerprint through the fingerprint sensor to obtain a first fingerprint image;
determining a first ratio based on a signal value set of a first region in the first fingerprint image and a signal value set of a second region in a second fingerprint image, wherein the first ratio is used for representing brightness variation of a light source used for fingerprint acquisition, the second fingerprint image is acquired by performing fingerprint calibration test before the electronic equipment leaves a factory, and a screen position corresponding to the first region is consistent with a screen position corresponding to the second region;
and calibrating the first fingerprint image based on the first ratio to obtain a third fingerprint image.
In an implementation of the application, the program comprises instructions for in particular performing the following steps in determining the first ratio based on a set of signal values of a first region of the first fingerprint image and a set of signal values of a second region of the second fingerprint image:
determining a first average signal value of the first region based on the signal value set of the first region, determining first difference values between the first average signal value and the signal value of each pixel point included in the first region, and performing average value calculation based on the determined first difference values to obtain a first difference average value;
determining a second average signal value of the second region based on the signal value set of the second region, determining a second difference value between the second average signal value and the signal value of each pixel point included in the second region, and performing average calculation based on the determined second difference value to obtain a second difference average value;
and taking the ratio of the first difference average value to the second difference average value as a first ratio.
In an implementation manner of the present application, in calibrating the first fingerprint image based on the first ratio to obtain the third fingerprint image, the program includes instructions specifically configured to perform the following steps:
performing image calibration based on the signal value matrix of the first fingerprint image, the first ratio, the signal value matrix of the first calibration image and the first function to obtain a third fingerprint image, wherein the first calibration image is an image obtained by collecting a dark surface of a calibration box;
the first function is: r1 ═ Raw-k RL, where r1 is the matrix of signal values of the fingerprint image after calibration, k is the ratio, Raw is the matrix of signal values of the fingerprint image before calibration, and RL is the matrix of signal values of the calibration image.
In an implementation of the application, before determining the first ratio based on the set of signal values of the first region in the first fingerprint image and the set of signal values of the second region in the second fingerprint image, the above program further comprises instructions for performing the steps of:
performing image calibration based on the signal value matrix of the first fingerprint image, the signal value matrix of the first calibration image, and a second function to obtain the fourth fingerprint image, where the second function is: r2 ═ Raw-RL, wherein r2 is the matrix of signal values of the fingerprint image after calibration, Raw is the matrix of signal values of the fingerprint image before calibration, and RL is the matrix of signal values of the calibration image;
determining that fingerprint verification using the fourth fingerprint image fails.
In an implementation of the application, before determining the first ratio based on the set of signal values of the first region in the first fingerprint image and the set of signal values of the second region in the second fingerprint image, the above program further comprises instructions for performing the steps of: and determining the event to be unlocked corresponding to the fingerprint acquisition as a set unlocking event.
In an implementation of the application, before determining the first ratio based on the set of signal values of the first region in the first fingerprint image and the set of signal values of the second region in the second fingerprint image, the above program further comprises instructions for performing the steps of:
and determining that a fourth difference value between the first average signal value and the third average signal value is greater than or equal to a first threshold value, wherein the third average signal value is an average signal value of a third area in a fifth fingerprint image, the fifth fingerprint image is a fingerprint image acquired last time, and a screen position corresponding to the first area is consistent with a screen position corresponding to the third area.
In an implementation manner of the present application, the program further includes instructions for performing the following steps:
and when the fourth difference is smaller than the first threshold, calibrating the first fingerprint image based on a second ratio to obtain a sixth fingerprint image, wherein the second ratio is used for representing the brightness change of a light source used for fingerprint acquisition, and the second ratio is used for calibrating the fifth fingerprint image.
It should be noted that, for the specific implementation process of the present embodiment, reference may be made to the specific implementation process described in the above method embodiment, and a description thereof is omitted here.
The above embodiments mainly introduce the scheme of the embodiments of the present application from the perspective of the method-side implementation process. It is understood that the electronic device comprises corresponding hardware structures and/or software modules for performing the respective functions in order to realize the above-mentioned functions. Those of skill in the art would readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the electronic device may be divided into the functional units according to the method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
The following is an embodiment of the apparatus of the present application, which is used to execute the method implemented by the embodiment of the method of the present application. Referring to fig. 5, fig. 5 is a calibration apparatus applied to an electronic device including a touch screen and a fingerprint sensor according to an embodiment of the present disclosure, the calibration apparatus includes:
a fingerprint acquisition unit 501, configured to perform fingerprint acquisition by using the fingerprint sensor to obtain a first fingerprint image;
a fingerprint image calibration unit 502, configured to determine a first ratio based on a signal value set of a first region in the first fingerprint image and a signal value set of a second region in a second fingerprint image, where the first ratio is used to characterize a brightness change of a light source used for fingerprint acquisition, the second fingerprint image is acquired by performing a fingerprint calibration test before the electronic device leaves a factory, and a screen position corresponding to the first region is consistent with a screen position corresponding to the second region; and calibrating the first fingerprint image based on the first ratio to obtain a third fingerprint image.
In an implementation manner of the present application, the fingerprint image calibration unit 502 is specifically configured to, in terms of a set of signal values based on a first region of the first fingerprint image and a set of signal values based on a second region of the second fingerprint image:
determining a first average signal value of the first region based on the signal value set of the first region, determining first difference values between the first average signal value and the signal value of each pixel point included in the first region, and performing average value calculation based on the determined first difference values to obtain a first difference average value;
determining a second average signal value of the second region based on the signal value set of the second region, determining a second difference value between the second average signal value and the signal value of each pixel point included in the second region, and performing average calculation based on the determined second difference value to obtain a second difference average value;
and taking the ratio of the first difference average value to the second difference average value as a first ratio.
In an implementation manner of the present application, in calibrating the first fingerprint image based on the first ratio to obtain a third fingerprint image, the fingerprint image calibration unit 502 is specifically configured to:
performing image calibration based on the signal value matrix of the first fingerprint image, the first ratio, the signal value matrix of the first calibration image and the first function to obtain a third fingerprint image, wherein the first calibration image is an image obtained by collecting a dark surface of a calibration box;
the first function is: r1 ═ Raw-k RL, where r1 is the matrix of signal values of the fingerprint image after calibration, k is the ratio, Raw is the matrix of signal values of the fingerprint image before calibration, and RL is the matrix of signal values of the calibration image.
In an implementation manner of the present application, the calibration apparatus further includes:
a first determining unit 503, configured to, before the fingerprint image calibration unit 502 determines the first ratio based on the signal value set of the first region in the first fingerprint image and the signal value set of the second region in the second fingerprint image, perform image calibration based on the signal value matrix of the first fingerprint image, the signal value matrix of the first calibration image, and a second function, to obtain the fourth fingerprint image, where the second function is: r2 ═ Raw-RL, wherein r2 is the matrix of signal values of the fingerprint image after calibration, Raw is the matrix of signal values of the fingerprint image before calibration, and RL is the matrix of signal values of the calibration image; determining that fingerprint verification using the fourth fingerprint image fails.
In an implementation manner of the present application, the calibration apparatus further includes:
a second determining unit 504, configured to determine, before the fingerprint image calibration unit 502 determines the first ratio based on the signal value set of the first region in the first fingerprint image and the signal value set of the second region in the second fingerprint image, that the event to be unlocked corresponding to this fingerprint acquisition is a set unlocking event.
In an implementation manner of the present application, the calibration apparatus further includes:
a third determining unit 505, configured to determine, before the fingerprint image calibration unit 502 determines the first ratio based on the signal value set of the first region in the first fingerprint image and the signal value set of the second region in the second fingerprint image, that a fourth difference between the first average signal value and a third average signal value is greater than or equal to a first threshold, where the third average signal value is an average signal value of a third region in a fifth fingerprint image, the fifth fingerprint image is a fingerprint image acquired last time, and a screen position corresponding to the first region is consistent with a screen position corresponding to the third region.
In an implementation manner of the present application, the fingerprint image calibration unit 502 is further configured to:
and when the fourth difference is smaller than the first threshold, calibrating the first fingerprint image based on a second ratio to obtain a sixth fingerprint image, wherein the second ratio is used for representing the brightness change of a light source used for fingerprint acquisition, and the second ratio is used for calibrating the fifth fingerprint image.
It should be noted that the fingerprint acquisition unit 501, the fingerprint image calibration unit 502, the first determination unit 503, the second determination unit 504, and the third determination unit 505 may be implemented by a processor.
Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, the computer program enabling a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes an electronic device.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising an electronic device.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A calibration method is applied to an electronic device comprising a touch screen and a fingerprint sensor, and comprises the following steps:
acquiring a fingerprint through the fingerprint sensor to obtain a first fingerprint image;
determining a first ratio based on a signal value set of a first region in the first fingerprint image and a signal value set of a second region in a second fingerprint image, wherein the first ratio is used for representing brightness variation of a light source used for fingerprint acquisition, the second fingerprint image is acquired by performing fingerprint calibration test before the electronic equipment leaves a factory, and a screen position corresponding to the first region is consistent with a screen position corresponding to the second region;
calibrating the first fingerprint image based on the first ratio to obtain a third fingerprint image;
wherein said determining a first ratio based on the set of signal values of the first region of the first fingerprint image and the set of signal values of the second region of the second fingerprint image comprises:
determining a first average signal value of the first region based on the signal value set of the first region, determining first difference values between the first average signal value and the signal value of each pixel point included in the first region, and performing average value calculation based on the determined first difference values to obtain a first difference average value;
determining a second average signal value of the second region based on the signal value set of the second region, determining a second difference value between the second average signal value and the signal value of each pixel point included in the second region, and performing average calculation based on the determined second difference value to obtain a second difference average value;
and taking the ratio of the first difference average value to the second difference average value as a first ratio.
2. The method of claim 1, wherein calibrating the first fingerprint image based on the first ratio to obtain a third fingerprint image comprises:
performing image calibration based on the signal value matrix of the first fingerprint image, the first ratio, the signal value matrix of the first calibration image and the first function to obtain a third fingerprint image, wherein the first calibration image is an image obtained by collecting a dark surface of a calibration box;
the first function is: r1 ═ Raw-k RL, where r1 is the matrix of signal values of the fingerprint image after calibration, k is the ratio, Raw is the matrix of signal values of the fingerprint image before calibration, and RL is the matrix of signal values of the calibration image.
3. The method of claim 2, wherein before determining the first ratio based on the set of signal values for the first region in the first fingerprint image and the set of signal values for the second region in the second fingerprint image, the method further comprises:
and carrying out image calibration based on the signal value matrix of the first fingerprint image, the signal value matrix of the first calibration image and a second function to obtain a fourth fingerprint image, wherein the second function is as follows: r2 ═ Raw-RL, wherein r2 is the matrix of signal values of the fingerprint image after calibration, Raw is the matrix of signal values of the fingerprint image before calibration, and RL is the matrix of signal values of the calibration image;
determining that fingerprint verification using the fourth fingerprint image fails.
4. The method of claim 1, wherein before determining the first ratio based on the set of signal values for the first region in the first fingerprint image and the set of signal values for the second region in the second fingerprint image, the method further comprises: and determining the event to be unlocked corresponding to the fingerprint acquisition as a set unlocking event.
5. The method of claim 2, wherein before determining the first ratio based on the set of signal values for the first region in the first fingerprint image and the set of signal values for the second region in the second fingerprint image, the method further comprises: and determining the event to be unlocked corresponding to the fingerprint acquisition as a set unlocking event.
6. The method according to any one of claims 1-5, wherein before determining the first ratio based on the set of signal values of the first region in the first fingerprint image and the set of signal values of the second region in the second fingerprint image, the method further comprises:
and determining that a fourth difference value between the first average signal value and the third average signal value is greater than or equal to a first threshold value, wherein the third average signal value is an average signal value of a third area in a fifth fingerprint image, the fifth fingerprint image is a fingerprint image acquired last time, and a screen position corresponding to the first area is consistent with a screen position corresponding to the third area.
7. The method of claim 6, further comprising:
and when the fourth difference is smaller than the first threshold, calibrating the first fingerprint image based on a second ratio to obtain a sixth fingerprint image, wherein the second ratio is used for representing the brightness change of a light source used for fingerprint acquisition, and the second ratio is used for calibrating the fifth fingerprint image.
8. A calibration device, applied to an electronic device including a touch screen and a fingerprint sensor, the device comprising:
the fingerprint acquisition unit is used for acquiring fingerprints through the fingerprint sensor to obtain a first fingerprint image;
a fingerprint image calibration unit, configured to determine a first ratio based on a signal value set of a first region in the first fingerprint image and a signal value set of a second region in a second fingerprint image, where the first ratio is used to characterize a brightness change of a light source used for fingerprint acquisition, the second fingerprint image is acquired by performing a fingerprint calibration test before the electronic device leaves a factory, and a screen position corresponding to the first region is consistent with a screen position corresponding to the second region; calibrating the first fingerprint image based on the first ratio to obtain a third fingerprint image;
wherein said determining a first ratio based on the set of signal values of the first region of the first fingerprint image and the set of signal values of the second region of the second fingerprint image comprises:
determining a first average signal value of the first region based on the signal value set of the first region, determining first difference values between the first average signal value and the signal value of each pixel point included in the first region, and performing average value calculation based on the determined first difference values to obtain a first difference average value;
determining a second average signal value of the second region based on the signal value set of the second region, determining a second difference value between the second average signal value and the signal value of each pixel point included in the second region, and performing average calculation based on the determined second difference value to obtain a second difference average value;
and taking the ratio of the first difference average value to the second difference average value as a first ratio.
9. An electronic device comprising a touch screen and a fingerprint sensor, the electronic device further comprising a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-7.
10. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-7.
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| CN112417951B (en) * | 2020-09-30 | 2022-06-24 | 北京极豪科技有限公司 | Fingerprint image calibration method and device, electronic equipment and storage medium |
| CN112434572B (en) * | 2020-11-09 | 2022-05-06 | 北京极豪科技有限公司 | Fingerprint image calibration method and device, electronic equipment and storage medium |
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| CN105813194B (en) * | 2016-05-06 | 2019-04-23 | 西安电子科技大学昆山创新研究院 | Indoor orientation method based on fingerprint database secondary correction |
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