CN109934211B - Fingerprint calibration method and related device - Google Patents
Fingerprint calibration method and related device Download PDFInfo
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- CN109934211B CN109934211B CN201910179027.4A CN201910179027A CN109934211B CN 109934211 B CN109934211 B CN 109934211B CN 201910179027 A CN201910179027 A CN 201910179027A CN 109934211 B CN109934211 B CN 109934211B
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Abstract
The embodiment of the application discloses a fingerprint calibration method and a related device, which are applied to electronic equipment, wherein the method comprises the following steps: when the electronic equipment is in a first state, acquiring a first number of reference images; acquiring a second number of reference images when the electronic device is in a second state; generating a calibration coefficient map gain from the first number of reference images and the second number of reference images. It is thus clear that, implement this application embodiment and gather the reference image through setting up calibration box, avoided the interference of ambient light, promoted the precision of the calibration coefficient picture gain that generates, and then promoted according to calibration coefficient picture gain carries out the degree of accuracy of calibrating to the fingerprint image, reaches the purpose of eliminating the background noise of fingerprint image, has promoted the fingerprint identification degree of accuracy of fingerprint module.
Description
Technical Field
The present application relates to the field of electronic device technologies, and in particular, to a method and a related apparatus for calibrating a fingerprint.
Background
With the advancement of science and technology, electronic devices have become indispensable tools in human life. The unlocking mode of the electronic equipment is evolved from the initial simple password and gesture unlocking to the now quick, convenient and safe fingerprint unlocking. With the continuous progress of fingerprint unlocking technology, optical fingerprint unlocking can be realized nowadays. Optical fingerprint need calibrate before leaving the factory, and the mode of calibration sets up the silica gel head on the fingerprint module, and then the fingerprint module gathers the image that the silica gel head reflects and judges whether qualified thereby accomplish whole test calibration of fingerprint image signal quality.
Disclosure of Invention
The embodiment of the application provides a fingerprint calibration method and a related device, so that the quality of a calibration coefficient map gain for fingerprint calibration is expected to be improved, and the calibration precision of a fingerprint module is improved.
In a first aspect, an embodiment of the present application provides a fingerprint calibration method, which is applied to an electronic device, where the electronic device includes a display screen and a fingerprint module set in a preset area of the display screen, and the method includes:
when the electronic equipment is in a first state, acquiring a first number of reference images, wherein the first state is that a first calibration box is arranged in the preset area of the display screen, the color of the inner surface of the first calibration box is a first color, and the inner surface comprises the inner side surface of the first calibration box relative to the preset area;
when the electronic equipment is in a second state, acquiring a second number of reference images, wherein the second state is that a second calibration box is arranged in the preset area of the display screen, the color of the inner surface of the second calibration box is a second color, and the first color is different from the second color;
generating a calibration coefficient map gain from the first number of reference images and the second number of reference images. In a second aspect, an embodiment of the present application provides a fingerprint calibration apparatus, which is applied to an electronic device, where the electronic device includes a display screen and a fingerprint module set in a preset area of the display screen, the fingerprint calibration apparatus includes a processing unit and a communication unit, where,
the processing unit is configured to acquire a first number of reference images when information that the electronic device is in a first state is received through the communication unit, where the first state is that a first calibration box is arranged in the preset area of the display screen, and a color of an inner surface of the first calibration box is a first color, and the inner surface includes an inner side surface of the first calibration box relative to the preset area; the electronic equipment is used for acquiring a second number of reference images when information that the electronic equipment is in a second state is received through the communication unit, wherein the second state is that a second calibration box is arranged in the preset area of the display screen, the color of the inner surface of the second calibration box is a second color, and the first color is different from the second color; and means for generating a calibration coefficient map gain from the first number of reference images and the second number of reference images.
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 any method of 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 part or all of the steps described in any one of the methods of the first aspect of the present application.
In a fifth aspect, the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform some or all of the steps as described in any one of the methods of the first aspect of the embodiments 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, when the electronic device is in the first state, a first number of reference images are acquired; acquiring a second number of reference images when the electronic device is in a second state; finally, a calibration coefficient map gain is generated from the first number of reference images and the second number of reference images.
The first state refers to that a first calibration box is arranged in the preset area of the display screen, the color of the inner surface of the first calibration box is a first color, and the inner surface comprises the inner side surface of the first calibration box relative to the preset area; the second state is that the preset area of the display screen is provided with a second calibration box, the color of the inner surface of the second calibration box is a second color, and the first color is different from the second color; it is thus clear that electronic equipment gathers reference image at first through setting up the calibration box in this application embodiment, has avoided the interference of ambient light, has promoted the precision of the calibration coefficient map gain of generation, and then has promoted the basis calibration coefficient map gain carries out the degree of accuracy of calibrating to the fingerprint image for reach the purpose of eliminating the background noise of fingerprint image when handling the fingerprint image of gathering, reduced the calibration error of fingerprint module in carrying out the fingerprint calibration process, promoted the fingerprint identification degree of accuracy of fingerprint module.
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. 1 is a schematic structural diagram of a fingerprint module and a calibration box arranged in a preset area of a display screen corresponding to the fingerprint module provided in an embodiment of the present application;
fig. 2 is a schematic flowchart of a fingerprint calibration method according to an embodiment of the present disclosure;
FIG. 3 is a schematic flowchart of another fingerprint calibration method according to an embodiment of the present disclosure;
FIG. 4 is a schematic flowchart of another fingerprint calibration method according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of an electronic device provided in an embodiment of the present application;
fig. 6 is a block diagram of functional units of an apparatus for calibrating a fingerprint according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The embodiments of the present application will be described in detail with reference to the accompanying drawings
As shown in fig. 1, fig. 1 is a schematic structural diagram of a fingerprint module and a calibration box arranged in a preset area of a display screen corresponding to the fingerprint module provided in the embodiment of the present application; which comprises the following steps: a calibration box 101, a cover glass 102, a touch panel and screen 103, an lenses module 104, an image sensor 105; wherein the role of the lens module 104 is to prevent the scattering of the light source from causing image blurring. The calibration box 101 and the cover glass 102 constitute a closed space for shielding ambient light. In the process of fingerprint module calibration, the touch pad and the screen 103 emit light sources, the light sources reach the calibration box 101 and an inner side reflecting surface corresponding to a preset area of the display screen after passing through the cover glass 102, the light rays reach the image sensor 105 after being reflected by the inner side reflecting surface and passing through the cover glass 102, the touch pad, the screen 103 and the lens module 104, and the image sensor 105 images according to the received light sources to obtain a reference image. Wherein, the fingerprint module specifically can be optical fingerprint module.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described 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. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
The electronic device according to the embodiments of the present application may include various handheld devices, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to a wireless modem, and various forms of User Equipment (UE), Mobile Stations (MS), electronic devices (terminal device), and the like.
Referring to fig. 2, fig. 2 is a schematic flowchart of a fingerprint calibration method provided in an embodiment of the present application, and the method is applied to an electronic device, where the electronic device includes a display screen and a fingerprint module set in a preset area corresponding to the display screen, and as shown in the figure, the fingerprint calibration method includes:
The first state refers to that the preset area of the display screen is provided with a first calibration box, the color of the inner surface of the first calibration box is a first color, and the inner surface comprises the inner side surface of the first calibration box relative to the preset area. The inner side surface may reflect a light source emitted by the display screen.
The second state refers to that the preset area of the display screen is provided with a second calibration box, the color of the inner surface of the second calibration box is a second color, and the first color and the second color are different.
The calibration coefficient map gain comprises a gain value of each preset pixel point.
The calibration coefficient map gain is stored in the electronic device, so that the subsequent electronic device can calibrate the acquired fingerprint image according to the calibration coefficient map gain when performing the fingerprint identification operation.
It can be seen that, in the embodiment of the present application, when the electronic device is in the first state, a first number of reference images are acquired; acquiring a second number of reference images when the electronic device is in a second state; finally, a calibration coefficient map gain is generated from the first number of reference images and the second number of reference images.
The first state refers to that a first calibration box is arranged in the preset area of the display screen, the color of the inner surface of the first calibration box is a first color, and the inner surface comprises the inner side surface of the first calibration box relative to the preset area; the second state is that the preset area of the display screen is provided with a second calibration box, the color of the inner surface of the second calibration box is a second color, and the first color is different from the second color; it is thus clear that, in this application embodiment, electronic equipment has at first gathered the reference image through setting up the calibration box, has avoided the interference of ambient light, has promoted the precision of the calibration coefficient map gain of generation, and then has promoted the basis calibration coefficient map gain carries out the degree of accuracy of calibrating to the fingerprint image for reach the purpose of eliminating the background noise of fingerprint image when handling the fingerprint image of gathering, reduced the fingerprint module and carrying out the calibration error of fingerprint calibration in-process, promoted the fingerprint identification degree of accuracy of fingerprint module.
In one possible example, the electronic device generates a calibration coefficient map gain from the first number of reference images and the second number of reference images, including: generating a first reference calibration image from pixel values of each of the first number of reference images; generating a second reference calibration image according to the pixel values of each image in the second number of reference images; generating a target calibration image from the first reference calibration image and the second reference calibration image; and carrying out normalization processing on the target calibration image to obtain the gain of the calibration coefficient map.
The pixel value is a numerical value calculated after the electronic equipment obtains the data parameter through hardware of the electronic equipment. If an image is a gray image, the pixel value is a gray value; if an image is a color image, the gray value of the image is obtained according to the function mapping relation, and then the pixel value of the image is determined.
The reference images have corresponding pixel values at each preset pixel point, and the specifications of each image in the first number of reference images are the same, so that each image in the first number of reference images has corresponding pixel values at the preset pixel points, and therefore, a first reference calibration image is generated according to the pixel values of each image in the first number of reference images corresponding to the preset pixel points; similarly, a second reference calibration image may be generated according to the pixel values of each of the second number of reference images corresponding to the predetermined pixel points.
As can be seen, in this example, the electronic device may calculate and generate the first reference calibration image and the second reference calibration image according to the acquired first number of reference images and the second number of reference images, which eliminates accidental factors, improves the applicability of the first reference calibration image and the second reference calibration image, and further improves the quality of the generated target calibration image, so that the gain of the calibration coefficient map obtained by performing normalization processing on the target calibration image may more accurately eliminate the background noise generated by the internal structure of the electronic device in the fingerprint image.
In one possible example, the electronic device generates a first reference calibration image from pixel values of each image of the first number of reference images; generating a second reference calibration image from pixel values of each of the second number of reference images, comprising: acquiring a pixel value corresponding to each preset pixel point of each image in the first number of reference images to obtain a first number of pixel values for each preset pixel point; calculating the average value of the first number of pixel values to obtain a first reference average value of each preset pixel point; generating the first reference calibration image according to the first reference average value of each preset pixel point; acquiring a pixel value corresponding to each preset pixel point of each image in the second number of reference images to obtain a second number of pixel values for each preset pixel point; calculating the average value of the second number of pixel values to obtain a second reference average value of each preset pixel point; and generating the second reference calibration image according to the second reference average value of each preset pixel point.
For example, each image in the first number of reference images includes 100 preset pixels, each preset pixel of the 100 preset pixels has a first number of values, an average value of the first number of values for the first preset pixel is obtained to obtain a first reference average value of the first preset pixel, similarly, a first reference average value from the second preset pixel to the 100 th preset pixel can be calculated, and the first reference calibration image is generated according to the first reference average value from the first preset pixel to the 100 th preset pixel. Similarly, a second reference calibration image may be generated.
Therefore, in this example, the reference calibration image is generated by solving the average value of the pixel points of each image in the reference image at the preset pixel points, so that the contingency of data is avoided, and the obtained reference calibration image has applicability.
In one possible example, the electronic device generates a target calibration image from the first reference calibration image and the second reference calibration image, including: subtracting the second reference average value from the first reference average value of each preset pixel point to obtain a calibration difference value of each preset pixel point; and generating the target calibration image according to the calibration difference value of each preset pixel point.
As can be seen, in this example, the electronic device determines that the pixel value of the target calibration image at the preset pixel point is the difference value between the first reference calibration image and the second reference calibration image at the preset pixel point, so that the electronic device can generate the target calibration image according to the difference value, and further obtain the required gain of the calibration coefficient map.
In one possible example, the electronic device performs a normalization process on the target calibration image to obtain the calibration coefficient map gain, including: calculating an average value of the calibration difference values of each preset pixel point; dividing the calibration difference value of each preset pixel point by the average value of the calibration difference values to obtain a standard value of each preset pixel point; and generating the gain of the calibration coefficient graph according to the standard value of each preset pixel point.
Optionally, a normalization process is performed on the target calibration image according to a formula "norm ═(Xi-min (x))/max (x))," where Xi represents a pixel value of a first pixel in the target calibration image, max (x) and min (x) represent a maximum pixel value and a minimum pixel value of the target calibration image, respectively, and norm represents a scalar value after the normalization process is performed on the first pixel. The first pixel point can represent any preset pixel point in the target calibration image.
In one possible example, after the electronic device generates a calibration coefficient map gain from the first number of reference images and the second number of reference images, the method includes: acquiring a first fingerprint image of a test finger; calculating to obtain a calibration pixel value of each pixel point in the first fingerprint image according to a preset formula, wherein the preset formula comprises: calibrating a pixel value ═ pixel point difference ═ calibration coefficient map gain, the pixel point difference being equal to the pixel value of the first fingerprint image minus the pixel value of the second reference calibration image; and generating a second fingerprint image according to the calibration pixel value of each pixel point in the first fingerprint image, wherein the second fingerprint image is the first fingerprint image without background noise.
Wherein subtracting the pixel value of the second reference calibration image from the pixel value of the first fingerprint image specifically means: subtracting the pixel value of the corresponding first preset pixel point in the second reference calibration image from the pixel value of the first preset pixel point in the first fingerprint image; the first predetermined pixel point may represent any pixel point in the first fingerprint image and the second reference calibration image.
When calculating the calibration pixel value of each pixel, the calibration coefficient map gain in the pixel difference value calibration coefficient map gain specifically refers to the standard value of the currently calculated pixel, and if calculating the calibration pixel value of the first preset pixel, the calibration pixel value of the first preset pixel is equal to the pixel difference value of the first preset pixel and is equal to the standard value of the first preset pixel.
As can be seen, in this example, the electronic device may process the first fingerprint image according to the generated calibration coefficient map gain and the second reference image, so as to eliminate the background noise in the first fingerprint image, which is generated due to factors such as the internal structure of the display screen and the routing of the touch panel, and obtain the second fingerprint image with no background noise or less background noise than the first fingerprint image, so that when the electronic device performs fingerprint identification verification according to the second fingerprint image, the success rate of fingerprint identification is higher.
In one possible example, the calibration box and the preset area constitute an enclosed space for blocking ambient light.
It is thus clear that, in this example, the calibration box can constitute the enclosure space with predetermineeing the region and shelter from ambient light for the influence of ambient light is avoided when the fingerprint module receives the reflection light of calibration box, and then the accurate background noise who produces of confirming electronic equipment self structure.
Referring to fig. 3, fig. 3 is a schematic flowchart of another fingerprint calibration method provided in the embodiment of the present application, and the method is applied to an electronic device, where the electronic device includes a display screen and a fingerprint module set in a preset area corresponding to the display screen, and as shown in the figure, the fingerprint calibration method includes:
It can be seen that, in the embodiment of the present application, when the electronic device is in the first state, a first number of reference images are acquired; acquiring a second number of reference images when the electronic device is in a second state; finally, a calibration coefficient map gain is generated from the first number of reference images and the second number of reference images.
The first state refers to that a first calibration box is arranged in the preset area of the display screen, the color of the inner surface of the first calibration box is a first color, and the inner surface comprises the inner side surface of the first calibration box relative to the preset area; the second state is that the preset area of the display screen is provided with a second calibration box, the color of the inner surface of the second calibration box is a second color, and the first color is different from the second color; it is thus clear that electronic equipment gathers reference image at first through setting up the calibration box in this application embodiment, has avoided the interference of ambient light, has promoted the precision of the calibration coefficient map gain of generation, and then has promoted the basis calibration coefficient map gain carries out the degree of accuracy of calibrating to the fingerprint image for reach the purpose of eliminating the background noise of fingerprint image when handling the fingerprint image of gathering, reduced the calibration error of fingerprint module in carrying out the fingerprint calibration process, promoted the fingerprint identification degree of accuracy of fingerprint module.
In addition, the electronic equipment can calculate and generate the first reference calibration image and the second reference calibration image according to the acquired first number of reference images and the second number of reference images, accidental factors are eliminated, the applicability of the first reference calibration image and the second reference calibration image is improved, the quality of the generated target calibration image is further improved, and background noise generated by an internal structure of the electronic equipment in the fingerprint image can be eliminated more accurately by the aid of a calibration coefficient map gain obtained by normalizing the target calibration image.
Referring to fig. 4, fig. 4 is a schematic flowchart of a fingerprint calibration method provided in an embodiment of the present application, and the method is applied to an electronic device, where the electronic device includes a display screen and a fingerprint module set in a preset area corresponding to the display screen, and as shown in the figure, the fingerprint calibration method includes:
And 406, the electronic device generates the target calibration image according to the calibration difference value of each preset pixel point.
And step 408, the electronic device divides the calibration difference value of each preset pixel point by the average value of the calibration difference values to obtain a standard value of each preset pixel point.
And 409, the electronic equipment generates the gain of the calibration coefficient graph according to the standard value of each preset pixel point.
Wherein the preset formula comprises: and calibrating the gain of the coefficient map by the difference of the pixel points, wherein the difference of the pixel points is equal to the pixel value of the first fingerprint image minus the pixel value of the second reference calibration image.
Wherein the second fingerprint image is the first fingerprint image without background noise
It can be seen that, in the embodiment of the present application, when the electronic device is in the first state, a first number of reference images are acquired; acquiring a second number of reference images when the electronic device is in a second state; finally, a calibration coefficient map gain is generated from the first number of reference images and the second number of reference images.
The first state refers to that a first calibration box is arranged in the preset area of the display screen, the color of the inner surface of the first calibration box is a first color, and the inner surface comprises the inner side surface of the first calibration box relative to the preset area; the second state is that the preset area of the display screen is provided with a second calibration box, the color of the inner surface of the second calibration box is a second color, and the first color is different from the second color; it is thus clear that electronic equipment gathers reference image at first through setting up the calibration box in this application embodiment, has avoided the interference of ambient light, has promoted the precision of the calibration coefficient map gain of generation, and then has promoted the basis calibration coefficient map gain carries out the degree of accuracy of calibrating to the fingerprint image for reach the purpose of eliminating the background noise of fingerprint image when handling the fingerprint image of gathering, reduced the calibration error of fingerprint module in carrying out the fingerprint calibration process, promoted the fingerprint identification degree of accuracy of fingerprint module.
In addition, the electronic device can process the first fingerprint image according to the generated calibration coefficient map gain and the second reference image so as to eliminate background noise generated by factors such as the internal structure of the display screen, the wiring of the touch panel and the like in the first fingerprint image and obtain a second fingerprint image without background noise or with less background noise than the first fingerprint image, so that the electronic device can execute fingerprint identification verification according to the second fingerprint image and the identification rate of fingerprint identification is improved.
In accordance with the embodiments shown in fig. 2, fig. 3, and fig. 4, please refer to fig. 5, and fig. 5 is a schematic structural diagram of an electronic device 500 according to an embodiment of the present application, as shown in the figure, the electronic device 500 includes an application processor 510, a memory 520, a communication interface 530, and one or more programs 521, where the one or more programs 521 are stored in the memory 520 and configured to be executed by the application processor 510, and the one or more programs 521 include instructions for performing the following steps;
when the electronic equipment is in a first state, acquiring a first number of reference images, wherein the first state is that a first calibration box is arranged in the preset area of the display screen, the color of the inner surface of the first calibration box is a first color, and the inner surface comprises the inner side surface of the first calibration box relative to the preset area;
when the electronic equipment is in a second state, acquiring a second number of reference images, wherein the second state is that a second calibration box is arranged in the preset area of the display screen, the color of the inner surface of the second calibration box is a second color, and the first color is different from the second color;
generating a calibration coefficient map gain from the first number of reference images and the second number of reference images.
It can be seen that, in the embodiment of the present application, when the electronic device is in the first state, a first number of reference images are acquired; acquiring a second number of reference images when the electronic device is in a second state; finally, a calibration coefficient map gain is generated from the first number of reference images and the second number of reference images.
The first state refers to that a first calibration box is arranged in the preset area of the display screen, the color of the inner surface of the first calibration box is a first color, and the inner surface comprises the inner side surface of the first calibration box relative to the preset area; the second state is that the preset area of the display screen is provided with a second calibration box, the color of the inner surface of the second calibration box is a second color, and the first color is different from the second color; it is thus clear that electronic equipment gathers reference image at first through setting up the calibration box in this application embodiment, has avoided the interference of ambient light, has promoted the precision of the calibration coefficient map gain of generation, and then has promoted the basis calibration coefficient map gain carries out the degree of accuracy of calibrating to the fingerprint image for reach the purpose of eliminating the background noise of fingerprint image when handling the fingerprint image of gathering, reduced the calibration error of fingerprint module in carrying out the fingerprint calibration process, promoted the fingerprint identification degree of accuracy of fingerprint module.
In one possible example, in the generating of the calibration coefficient map gain from the first number of reference images and the second number of reference images, the instructions in the program are specifically configured to: generating a first reference calibration image from pixel values of each of the first number of reference images; generating a second reference calibration image according to the pixel values of each image in the second number of reference images; generating a target calibration image from the first reference calibration image and the second reference calibration image; and carrying out normalization processing on the target calibration image to obtain the gain of the calibration coefficient map.
In one possible example, a first reference calibration image is generated in said from pixel values of each image of said first number of reference images; in generating a second reference calibration image from pixel values of each of the second number of reference images, the instructions in the program are specifically configured to perform the following: acquiring a pixel value corresponding to each preset pixel point of each image in the first number of reference images to obtain a first number of pixel values for each preset pixel point; calculating the average value of the first number of pixel values to obtain a first reference average value of each preset pixel point; generating the first reference calibration image according to the first reference average value of each preset pixel point; acquiring a pixel value corresponding to each preset pixel point of each image in the second number of reference images to obtain a second number of pixel values for each preset pixel point; calculating the average value of the second number of pixel values to obtain a second reference average value of each preset pixel point; and generating the second reference calibration image according to the second reference average value of each preset pixel point.
In one possible example, in the generating of the target calibration image from the first reference calibration image and the second reference calibration image, the instructions in the program are specifically configured to perform the following operations: subtracting the second reference average value from the first reference average value of each preset pixel point to obtain a calibration difference value of each preset pixel point; and generating the target calibration image according to the calibration difference value of each preset pixel point.
In one possible example, in terms of the normalization processing performed on the target calibration image resulting in the calibration coefficient map gain, the instructions in the program are specifically configured to perform the following operations: calculating an average value of the calibration difference values of each preset pixel point; dividing the calibration difference value of each preset pixel point by the average value of the calibration difference values to obtain a standard value of each preset pixel point; and generating the gain of the calibration coefficient graph according to the standard value of each preset pixel point.
In one possible example, after the generating a calibration coefficient map gain from the first number of reference images and the second number of reference images, the instructions in the program are further to: acquiring a first fingerprint image of a test finger; calculating to obtain a calibration pixel value of each pixel point in the first fingerprint image according to a preset formula, wherein the preset formula comprises: calibrating a pixel value ═ pixel point difference ═ calibration coefficient map gain, the pixel point difference being equal to the pixel value of the first fingerprint image minus the pixel value of the second reference calibration image; and generating a second fingerprint image according to the calibration pixel value of each pixel point in the first fingerprint image, wherein the second fingerprint image is the first fingerprint image without background noise.
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 will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. 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.
Fig. 6 is a block diagram of functional units of a fingerprint calibration apparatus 600 according to an embodiment of the present application. The fingerprint calibration device 600 is applied to an electronic device, the electronic device comprises a display screen and a fingerprint module set corresponding to a preset area of the display screen, the fingerprint calibration device 600 comprises a processing unit 601 and a communication unit 602, wherein,
the processing unit 601 is configured to acquire a first number of reference images when information that the electronic device is in a first state is received through the communication unit 602, where the first state indicates that a first calibration box is disposed in the preset area of the display screen, and a color of an inner surface of the first calibration box is a first color, and the inner surface includes an inner side surface of the first calibration box relative to the preset area; the display device is used for acquiring a second number of reference images when information that the electronic device is in a second state is received through the communication unit 602, where the second state is that a second calibration box is arranged in the preset area of the display screen, the color of the inner surface of the second calibration box is a second color, and the first color is different from the second color; and means for generating a calibration coefficient map gain from the first number of reference images and the second number of reference images.
Wherein the fingerprint calibration apparatus 600 may further comprise a storage unit 603 for storing program codes and data of the electronic device. The processing unit 601 may be a processor, the communication unit 602 may be a touch display screen or a transceiver, and the storage unit 603 may be a memory.
It can be seen that, in the embodiment of the present application, when the electronic device is in the first state, a first number of reference images are acquired; acquiring a second number of reference images when the electronic device is in a second state; finally, a calibration coefficient map gain is generated from the first number of reference images and the second number of reference images.
The first state refers to that a first calibration box is arranged in the preset area of the display screen, the color of the inner surface of the first calibration box is a first color, and the inner surface comprises the inner side surface of the first calibration box relative to the preset area; the second state is that the preset area of the display screen is provided with a second calibration box, the color of the inner surface of the second calibration box is a second color, and the first color is different from the second color; it is thus clear that electronic equipment gathers reference image at first through setting up the calibration box in this application embodiment, has avoided the interference of ambient light, has promoted the precision of the calibration coefficient map gain of generation, and then has promoted the basis calibration coefficient map gain carries out the degree of accuracy of calibrating to the fingerprint image for reach the purpose of eliminating the background noise of fingerprint image when handling the fingerprint image of gathering, reduced the calibration error of fingerprint module in carrying out the fingerprint calibration process, promoted the fingerprint identification degree of accuracy of fingerprint module.
In one possible example, in terms of the generating a calibration coefficient map gain from the first number of reference images and the second number of reference images, the processing unit 601 is specifically configured to: generating a first reference calibration image from pixel values of each of the first number of reference images; generating a second reference calibration image according to the pixel values of each image in the second number of reference images; generating a target calibration image from the first reference calibration image and the second reference calibration image; and carrying out normalization processing on the target calibration image to obtain the gain of the calibration coefficient map.
In one possible example, a first reference calibration image is generated in said from pixel values of each image of said first number of reference images; in generating a second reference calibration image according to the pixel values of each of the second number of reference images, the processing unit 601 is specifically configured to: acquiring a pixel value corresponding to each preset pixel point of each image in the first number of reference images to obtain a first number of pixel values for each preset pixel point; calculating the average value of the first number of pixel values to obtain a first reference average value of each preset pixel point; generating the first reference calibration image according to the first reference average value of each preset pixel point; acquiring a pixel value corresponding to each preset pixel point of each image in the second number of reference images to obtain a second number of pixel values for each preset pixel point; calculating the average value of the second number of pixel values to obtain a second reference average value of each preset pixel point; and generating the second reference calibration image according to the second reference average value of each preset pixel point.
In one possible example, in the aspect of generating the target calibration image according to the first reference calibration image and the second reference calibration image, the processing unit 601 is specifically configured to: subtracting the second reference average value from the first reference average value of each preset pixel point to obtain a calibration difference value of each preset pixel point; and generating the target calibration image according to the calibration difference value of each preset pixel point.
In a possible example, in terms of the performing the normalization process on the target calibration image to obtain the gain of the calibration coefficient map, the processing unit 601 is specifically configured to: calculating an average value of the calibration difference values of each preset pixel point; dividing the calibration difference value of each preset pixel point by the average value of the calibration difference values to obtain a standard value of each preset pixel point; and generating the gain of the calibration coefficient graph according to the standard value of each preset pixel point.
In one possible example, after the generating of the calibration coefficient map gain from the first number of reference images and the second number of reference images, the processing unit 601 is further configured to: acquiring a first fingerprint image of a test finger; calculating to obtain a calibration pixel value of each pixel point in the first fingerprint image according to a preset formula, wherein the preset formula comprises: calibrating a pixel value ═ pixel point difference ═ calibration coefficient map gain, the pixel point difference being equal to the pixel value of the first fingerprint image minus the pixel value of the second reference calibration image; and generating a second fingerprint image according to the calibration pixel value of each pixel point in the first fingerprint image, wherein the second fingerprint image is the first fingerprint image without background noise.
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: various media capable of storing program codes, such as a usb disk, a read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Those skilled in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be performed by associated hardware as 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. The utility model provides a calibration method of fingerprint, its characterized in that is applied to electronic equipment, electronic equipment includes the display screen and relatively the fingerprint module of the preset area setting of display screen, the method includes:
when the electronic equipment is in a first state, acquiring a first number of reference images, wherein the first state is that a first calibration box is arranged in the preset area of the display screen, the color of the inner surface of the first calibration box is a first color, and the inner surface comprises the inner side surface of the first calibration box relative to the preset area;
when the electronic equipment is in a second state, acquiring a second number of reference images, wherein the second state is that a second calibration box is arranged in the preset area of the display screen, the color of the inner surface of the second calibration box is a second color, and the first color is different from the second color;
generating a calibration coefficient map gain from the first number of reference images and the second number of reference images;
wherein the generating a calibration coefficient map gain from the first number of reference images and the second number of reference images comprises:
generating a first reference calibration image from pixel values of each of the first number of reference images;
generating a second reference calibration image according to the pixel values of each image in the second number of reference images;
generating a target calibration image from the first reference calibration image and the second reference calibration image;
and carrying out normalization processing on the target calibration image to obtain the gain of the calibration coefficient map.
2. The method of claim 1, wherein generating a first reference calibration image from pixel values of each of the first number of reference images; generating a second reference calibration image from pixel values of each of the second number of reference images, comprising:
acquiring a pixel value corresponding to each preset pixel point of each image in the first number of reference images to obtain a first number of pixel values for each preset pixel point; calculating the average value of the first number of pixel values to obtain a first reference average value of each preset pixel point; generating the first reference calibration image according to the first reference average value of each preset pixel point;
acquiring a pixel value corresponding to each preset pixel point of each image in the second number of reference images to obtain a second number of pixel values for each preset pixel point; calculating the average value of the second number of pixel values to obtain a second reference average value of each preset pixel point; and generating the second reference calibration image according to the second reference average value of each preset pixel point.
3. The method of claim 2, wherein generating a target calibration image from the first reference calibration image and the second reference calibration image comprises:
subtracting the second reference average value from the first reference average value of each preset pixel point to obtain a calibration difference value of each preset pixel point;
and generating the target calibration image according to the calibration difference value of each preset pixel point.
4. The method of claim 3, wherein the performing a normalization process on the target calibration image results in the calibration coefficient map gain, comprising:
calculating an average value of the calibration difference values of each preset pixel point;
dividing the calibration difference value of each preset pixel point by the average value of the calibration difference values to obtain a standard value of each preset pixel point;
and generating the gain of the calibration coefficient graph according to the standard value of each preset pixel point.
5. The method of any of claims 1-4, wherein after generating the calibration coefficient map gain from the first number of reference images and the second number of reference images, the method further comprises:
acquiring a first fingerprint image of a test finger;
calculating to obtain a calibration pixel value of each pixel point in the first fingerprint image according to a preset formula, wherein the preset formula comprises: calibrating a pixel value ═ pixel point difference ═ calibration coefficient map gain, the pixel point difference being equal to the pixel value of the first fingerprint image minus the pixel value of the second reference calibration image;
and generating a second fingerprint image according to the calibration pixel value of each pixel point in the first fingerprint image, wherein the second fingerprint image is the first fingerprint image without background noise.
6. The method according to any one of claims 1 to 4, wherein the calibration box and the predetermined area constitute an enclosed space for shielding ambient light.
7. The method of claim 5, wherein the calibration box and the predetermined area form an enclosed space for blocking ambient light.
8. The fingerprint calibration device is applied to electronic equipment, the electronic equipment comprises a display screen and a fingerprint module which is arranged corresponding to a preset area of the display screen, the fingerprint calibration device comprises a processing unit and a communication unit, wherein,
the processing unit is configured to acquire a first number of reference images when information that the electronic device is in a first state is received through the communication unit, where the first state is that a first calibration box is arranged in the preset area of the display screen, and a color of an inner surface of the first calibration box is a first color, and the inner surface includes an inner side surface of the first calibration box relative to the preset area; the electronic equipment is used for acquiring a second number of reference images when information that the electronic equipment is in a second state is received through the communication unit, wherein the second state is that a second calibration box is arranged in the preset area of the display screen, the color of the inner surface of the second calibration box is a second color, and the first color is different from the second color; and for generating a calibration coefficient map gain from the first number of reference images and the second number of reference images;
wherein the generating a calibration coefficient map gain from the first number of reference images and the second number of reference images comprises: generating a first reference calibration image from pixel values of each of the first number of reference images; generating a second reference calibration image according to the pixel values of each image in the second number of reference images; generating a target calibration image from the first reference calibration image and the second reference calibration image; and carrying out normalization processing on the target calibration image to obtain the gain of the calibration coefficient map.
9. An electronic device comprising a processor, 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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