WO2023274097A1

WO2023274097A1 - Qr code image processing method and apparatus

Info

Publication number: WO2023274097A1
Application number: PCT/CN2022/101359
Authority: WO
Inventors: 宋秀峰; 张一凡
Original assignee: 歌尔股份有限公司
Priority date: 2021-06-28
Filing date: 2022-06-27
Publication date: 2023-01-05
Also published as: CN113449534B; CN113449534A

Abstract

Disclosed in the present application are a QR code image processing method and apparatus. The method comprises: identifying, from a QR code image, a specified shape included in a QR code; determining the size of a code particle in the QR code image according to the specified shape; dividing the QR code image into grids by taking the size of the code particle as a grid reference; and generating a standard QR code according to image content in each grid. In the technical solution, by means of a characteristic of a QR code being formed by code particles, a standard QR code is re-constructed on the basis of a QR code image; and the determined size of a code particle is more precise by means of a special specified shape, such as the shape of the Chinese character "回", in the QR code image, thereby improving the re-construction accuracy of the standard QR code, and improving the accuracy of subsequent QR code parsing.

Description

Two-dimensional code image processing method and device

technical field

The present application relates to the field of image processing, in particular to a two-dimensional code image processing method and device.

Background of the invention

A two-dimensional code refers to a black and white graphic that records data symbol information distributed on a plane with a certain specific geometric figure according to a certain rule. Analyzing the two-dimensional code can obtain the recorded data symbol information. The two-dimensional code analysis method in the prior art usually obtains the two-dimensional code image through the camera first, and then uses the analysis library to complete the two-dimensional code analysis. However, when the size of the two-dimensional code is small, or the two-dimensional code is worn, the success rate of parsing the two-dimensional code image is not high.

Contents of the invention

The embodiments of the present application provide a two-dimensional code image processing method and device, which can generate a standard two-dimensional code based on the two-dimensional code image, and improve the success rate of parsing the two-dimensional code image.

The embodiment of the application adopts the following technical solutions:

In the first aspect, the embodiment of the present application provides a two-dimensional code image processing method, including: identifying the specified shape contained in the two-dimensional code from the two-dimensional code image; determining the size of the code grain in the two-dimensional code image according to the specified shape ;Using the size of the code grain as the grid reference, divide the grid in the two-dimensional code image; generate a standard two-dimensional code according to the image content in each grid.

In a second aspect, the embodiment of the present application further provides a two-dimensional code image processing device, which is used to implement the above two-dimensional code image processing method.

In some embodiments, the two-dimensional code image processing device includes: a recognition unit, used to recognize the specified shape contained in the two-dimensional code from the two-dimensional code image; a size unit, used to determine the shape of the two-dimensional code image according to the specified shape The size of the code grain; the grid unit is used to divide the grid in the two-dimensional code image using the size of the code grain as a grid reference; the generation unit is used to generate a standard two-dimensional code according to the image content in each grid code.

In the third aspect, the embodiment of the present application also provides an electronic device, including: a processor; and a memory arranged to store computer-executable instructions, and the executable instructions cause the processor to perform the above two-dimensional code image processing when executed method.

In the fourth aspect, the embodiment of the present application also provides a computer-readable storage medium, the computer-readable storage medium stores one or more programs, and when the one or more programs are executed by an electronic device including multiple application programs, the electronic The device executes the above two-dimensional code image processing method.

The above-mentioned at least one technical solution adopted in the embodiment of the present application can achieve the following beneficial effects: by identifying the designated shape such as "back" from the two-dimensional code image, determine the size of the code grains that constitute the two-dimensional code, and use this as a The benchmark divides the two-dimensional code image into grids, and can generate standard two-dimensional codes according to the image content of each grid, and can further analyze the two-dimensional codes, which is easy to implement, high in accuracy and efficiency, and low in cost.

Brief description of the drawings

The drawings described here are used to provide a further understanding of the application and constitute a part of the application. The schematic embodiments and descriptions of the application are used to explain the application and do not constitute an improper limitation to the application. In the attached picture:

FIG. 1 shows a schematic flow diagram of a two-dimensional code image processing method according to an embodiment of the present application;

Fig. 2 Fig. 2 shows the image obtained by shooting the micro two-dimensional code on the main board;

Fig. 3 shows the image obtained by converting Fig. 2 to grayscale adaptive binarization;

Fig. 4 shows the base image obtained according to Fig. 3;

Fig. 5 shows a schematic diagram of the effective area obtained according to Fig. 4;

Fig. 6 shows the two-dimensional code image obtained according to Fig. 5;

Fig. 7 shows the designated area determined according to Fig. 6;

Fig. 8 shows the two-dimensional code image obtained according to Fig. 6 after dividing the grid;

Fig. 9 shows a schematic diagram of a standard two-dimensional code generated according to Fig. 6;

Fig. 10 shows a schematic structural diagram of a two-dimensional code image processing device according to an embodiment of the present application.

FIG. 11 is a schematic structural diagram of an electronic device in an embodiment of the present application.

detailed description

In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in conjunction with specific embodiments of the present application and corresponding drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

The technical solutions provided by various embodiments of the present application will be described in detail below in conjunction with the accompanying drawings.

Fig. 1 shows a schematic flowchart of a method for processing a two-dimensional code image according to an embodiment of the present application. As shown in Figure 1, the two-dimensional code image processing method includes:

Step S110, identifying the specified shape included in the two-dimensional code from the two-dimensional code image.

QR codes usually contain special shapes such as the character "Hui", and these shapes can be used as specified shapes for determining the size of code particles. There are many ways to recognize the specified shape. For example, a pre-trained recognition model may be used to recognize a two-dimensional code image, or a template matching method may be used, which is not limited in this embodiment.

Step S120, determining the size of the code grains in the two-dimensional code image according to the specified shape.

A code particle is the smallest unit that constitutes a two-dimensional code, such as the aforementioned "Hui" font, each side of "Hui" is composed of several code particles, so the size of the code particle can be determined according to the specified shape.

Step S130, using the size of the code grain as a grid reference, to divide the grid in the two-dimensional code image.

For example, if the size of a code grain is 20×20 (pixels), you can use this as a benchmark to select a corner point of the non-background color in the two-dimensional code image as the origin of the coordinate system to divide the grid, then the grid There will be a background color or a non-background color in , so that step S140 can be executed.

Step S140, generating a standard two-dimensional code according to the image content in each grid.

For example, it can be judged whether the grid is the foreground or the background part of the two-dimensional code according to the average value of the pixel values in the grid, so as to avoid misjudgment caused by wear and tear or blurred photos.

It can be seen that the method shown in Figure 1 utilizes the characteristic that the two-dimensional code is composed of code particles, reconstructs the standard two-dimensional code based on the two-dimensional code image, and uses the special designation such as the "back" shape in the two-dimensional code image The shape makes the determined code particle size more accurate, improves the reconstruction accuracy of standard two-dimensional codes, and thus improves the accuracy of subsequent two-dimensional code analysis.

In some embodiments, determining the size of the code particles in the two-dimensional code image according to the specified shape in step S120 includes: according to the ratio of the size of each side in the specified shape to the number of code particles contained in it, and the size of each side in the two-dimensional code image The ratio of the size of and the number of code grains it contains determines the size of the code grains in the two-dimensional code image.

For example, the size of the two-dimensional code image is 200 × 200 (pixels), and there are 10 code grains on the length and width, then in some embodiments, it can be calculated only based on these data, and the size of each code grain is 20 ×20 (pixels). Thus, the size of the two-dimensional code image can also be inversely deduced according to the proportion of the specified shape in the two-dimensional code image.

In other embodiments, when the size of the two-dimensional code image can be known, a more accurate code can be obtained through comprehensive calculation based on the size of the two-dimensional code image and the number of code grains contained in each side of the two-dimensional code image. grain size.

In some embodiments, remember that the width of the specified shape is width _hui , the height is height _hui , and the number of code grains in the width and height directions are both num _hui ; the width of the two-dimensional code image is width, the height is height, and the width and The number of code particles in the high direction is num, then the size of the code particles in the two-dimensional code image can be determined by the following formula:

Among them, micro_qrcode_width represents the width of the code grain, and micro_qrcode_height represents the height of the code grain.

In some embodiments, the two-dimensional code image processing method further includes: acquiring a basic image containing the two-dimensional code; determining the area where the two-dimensional code is located from the basic image, and obtaining the two-dimensional code image according to the determined area.

Nowadays, VR (Virtual Reality, virtual reality) products are popular, and the motherboard of VR products is usually equipped with a small QR code, that is, a micro QR code, which is used to represent the serial number of the motherboard. Two-dimensional codes are used for identification, but the cost is high and the effect is poor. For example, FIG. 2 shows an image obtained by shooting a micro two-dimensional code on the main board. The image can be converted to gray scale adaptive binarization, distortion correction, etc. to obtain the basic image containing the two-dimensional code.

Specifically, FIG. 3 shows the image obtained by performing grayscale adaptive binarization on FIG. 2 ; FIG. 4 shows the basic image obtained according to FIG. 3 . Among them, for Figure 3, the minimum circumscribed rectangle of the micro-two-dimensional code can be obtained first according to the method of maximum connected area, and four vertices point1, point2, point3 and point4 are obtained, and then distortion correction is performed on the rectangle to obtain Figure 4.

It can be seen that there are unremoved black parts left near the four boundary lines in Figure 4, which can be further processed to determine the area where the two-dimensional code is located and obtain a usable two-dimensional code image.

In some embodiments, obtaining the two-dimensional code image according to the determined area includes: removing the noise of the basic image according to the outline of the basic image to obtain an effective area; determining the boundary line of the two-dimensional code image according to the outline of the effective area to obtain QR code image.

Referring to Figure 4, first try to remove the black parts around the four border lines, these black pixels can be considered as noise. FIG. 5 shows a schematic diagram of the effective area obtained according to FIG. 4 . As shown in Figure 5, the black part around the boundary line is basically removed, leaving only four corners and some remaining parts. At the same time, there is a large part of useless white area between the two-dimensional code and the outline of the effective area. These can be Removal is performed to finally obtain a two-dimensional code image, and FIG. 6 shows the two-dimensional code image obtained according to FIG. 5 . In addition, in addition to the two-dimensional code, Fig. 4 to Fig. 6 also show positioning characters used for positioning, which are preserved in the above-mentioned process of obtaining the effective area.

In some embodiments, the base image is a grayscale image, and according to the outline of the base image, removing the noise of the base image includes: for each boundary line in the outline of the base image, according to the length of the boundary line and the first preset width , determine the first candidate region in the basic image; if the gray average value of the first candidate region is greater than the gray average value of the basic image, remove the first candidate region as a region containing noise.

For example, record the first preset width as k pixels, let k=1 in this embodiment, then through four sections of boundary lines up, down, left, and right, respectively go to the center to intercept the first candidate areas of four rectangles with a thickness of 1, record respectively for:

The first candidate area Top_rect(0,y_top,width,k) corresponding to the upper boundary line;

The first candidate area Bottom_rect(0,y_bottom,width,k) corresponding to the lower boundary line;

The first candidate region Left_rect(x_left,0,k,height) corresponding to the left boundary line; and

The first candidate region Right_rect(x_right,0,k,height) corresponding to the right boundary line.

Take Top_rect(0, y_top, width, k) as an example, 0 and y_top are the data normalized (normalized) coordinates of the center point of the area, width represents the width of the area, and k represents the height (thickness) of the area.

Calculate the gray average gray_average_top, gray_average_bottom, gray_average_left, gray_average_right in the above four first candidate regions, and calculate the gray average gray_average of the whole image (basic image);

If the gray average value of a first candidate area is greater than the gray average value of the base image, the first candidate area is regarded as an area containing noise and removed.

Taking Top_rect(0,y_top,width,k) as an example, the determination conditions between the gray average gray_average_top of this area and the gray average gray_average of the base image are as follows:

That is, if the gray mean value of the region is greater than the gray mean value of the basic image, the upper boundary line of the basic image is moved down by k pixels as a whole, that is, the first candidate region corresponding to the original upper boundary line is removed.

In the same way,

In some embodiments, the above noise removal can be performed multiple times, that is, after the new boundary line is obtained, the first candidate area is re-determined according to the new boundary line, and the gray level average value is compared until the boundary line is no longer needed. change.

In some embodiments, the basic image is a grayscale image, and according to the outline of the effective area, determining the boundary line of the two-dimensional code image includes: for each boundary line in the outline of the effective area, according to the length of the boundary line and the second Preset width, determine the second candidate area in the effective area; if the gray average value of the second candidate area is less than the gray threshold, remove the second candidate area, and determine the two-dimensional code image according to the remaining part of the effective area borderline.

The determination of the second candidate region may refer to the above-mentioned embodiment, but the judgment standard is different from it, and the judgment is made by setting a gray threshold. For example, if the grayscale threshold is set to 255, then:

Similarly, the removal of the second candidate region can also be performed multiple times until the boundary line does not need to be changed.

In some embodiments, identifying the specified shape contained in the two-dimensional code from the two-dimensional code image includes: according to the distance between each boundary line of the two-dimensional code image and each boundary line of the basic image, determine the specified shape in two The specified area in the QR code image; recognize the specified shape in the specified area.

Due to its particular shape, the specified shape is usually at a fixed position in the QR code, but it may not be directly facing the QR code when shooting. For example, the image captured in Figure 2 should be rotated 90° counterclockwise. This makes it difficult to recognize the specified shape. The embodiment of the present application proposes a method of judging according to the distance between each boundary line of the two-dimensional code image and each boundary line of the basic image, which can overcome this problem.

In some embodiments, the two-dimensional code image includes positioning characters, and the positioning character and the specified shape have a preset relative positional relationship; according to the distance between each boundary line of the two-dimensional code image and each boundary line of the base image, the specified The specified area of the shape in the two-dimensional code image includes: among the boundary lines of the two-dimensional code image, the one closest to the corresponding boundary line of the base image (among the boundary lines of the two-dimensional code image, the corresponding boundary line of the base image The one with the smallest distance difference) is used as the target boundary line corresponding to the positioning character, and the position of the positioning character in the two-dimensional code image is determined according to the target boundary line; according to the position of the positioning character in the two-dimensional code image, and the relative positional relationship , to determine the specified area of the specified shape in the QR code image.

For example, Figure 6 contains the characters "16AF". It can be seen that these characters should be located at the bottom of the two-dimensional code, and the character "回" should be located at the upper left of the two-dimensional code, accounting for about 1/4 of the entire two-dimensional code. Therefore, these characters can be used as positioning characters, and the positioning characters have a preset relative positional relationship with the designated shape.

And it can be seen that the one closest to the corresponding boundary line of the base image is the target boundary line corresponding to the positioning character. In this way, the position of "16AF" in the two-dimensional code image can be determined, and the designated area of the character "hui" in the two-dimensional code image can be further obtained.

Furthermore, the two-dimensional code image can also be rotated, and positioning characters that are not helpful for subsequent analysis can also be removed.

In some embodiments, the specified shape can be accurately identified according to the connected region method by using the specified area where the specified shape is known. The largest part of the connected area in the region where the "back" character is located in the upper right corner of the figure is 1/4, and the figure 7 is obtained (the gray scale inversion and other processing can be performed on figure 6 in advance). FIG. 7 shows designated areas determined according to FIG. 6 .

In some embodiments, according to the image content in each grid, generating the standard two-dimensional code includes: if the pixel value of the center point of a grid is equal to the first preset pixel value, or the average value of the pixels of a grid is less than the first If two preset pixel values are used, a code particle of a standard two-dimensional code is generated according to the grid.

FIG. 8 shows the grid-divided two-dimensional code image obtained according to FIG. 6 . In the embodiment of the present application, the pixel value of the grid may be compared with a preset condition to determine whether to generate a code particle of the two-dimensional code according to the grid. This application gives two specific examples of preset conditions: the first preset condition is that the pixel value of the center point of the grid is equal to the first preset pixel value; the second preset condition is that the average value of the pixels of the grid is less than the first Two preset pixel values.

In one way, the pixel value Pixel_dst of the grid with m columns and n rows is processed as follows using the first preset condition (the first preset pixel value is set to 0):

Among them, gray(m, n) represents the pixel value of the center point of the grid. The coordinates of the grid center point can be calculated as follows:

Center point coordinates = (x+micro_qrcode_width/2, y+micro_qrcode_height/2)

Among them, (x, y) is the coordinate of the upper left corner of the grid, micro_qrcode_width is the width of the grid, and micro_qrcode_height is the height of the grid.

In another way, the pixel value Pixel_dst of the grid with m columns and n rows is processed as follows by using the second preset condition (the second preset pixel value is set to 128):

Among them, average(m, n) represents the pixel average value of the grid.

The final processed grid of 255 corresponds to the white background in the QR code, and the grid processed as 0 corresponds to the black foreground in the QR code, that is, a code particle. FIG. 9 shows a schematic diagram of a standard two-dimensional code generated according to FIG. 6 .

Of course, in addition to the two preset conditions exemplarily shown above, those skilled in the art may choose to implement the judgment in other ways.

The embodiment of the present application also provides a two-dimensional code image processing device, which is used to implement any of the above two-dimensional code image processing methods.

FIG. 10 shows a schematic structural diagram of a two-dimensional code image processing device according to an embodiment of the present application. As shown in FIG. 10 , the two-dimensional code image processing device 1000 includes:

The recognition unit 1010 is configured to recognize the specified shape included in the two-dimensional code from the two-dimensional code image.

The size unit 1020 is configured to determine the size of the code grains in the two-dimensional code image according to the specified shape.

The grid unit 1030 is configured to divide the two-dimensional code image into a grid using the size of the code grain as a grid reference.

The generating unit 1040 is configured to generate a standard two-dimensional code according to the image content in each grid.

In some embodiments, the size unit 1020 is used to, according to the ratio of the size of each side in the specified shape to the number of code grains it contains, and the ratio of the size of each side in the two-dimensional code image to the number of code grains it contains, Determine the size of the code grains in the QR code image.

In some embodiments, the device further includes: a preprocessing unit, configured to obtain a basic image containing a two-dimensional code; determine the area where the two-dimensional code is located from the basic image, and obtain the two-dimensional code image according to the determined area.

In some embodiments, the preprocessing unit is configured to remove the noise of the basic image according to the outline of the basic image to obtain the effective area; according to the outline of the effective area, determine the boundary line of the two-dimensional code image to obtain the two-dimensional code image.

In some embodiments, the basic image is a grayscale image, and the preprocessing unit is used to determine the first boundary line in the basic image according to the length of the boundary line and the first preset width for each boundary line in the outline of the basic image. A candidate area; if the gray average value of the first candidate area is greater than the gray average value of the base image, then remove the first candidate area as an area containing noise.

In some embodiments, the basic image is a grayscale image, and the preprocessing unit is configured to determine the first boundary line in the effective area according to the length of the boundary line and the second preset width for each boundary line in the outline of the effective area. Two candidate areas; if the average gray value of the second candidate area is less than the gray threshold, the second candidate area is removed, and the boundary line of the two-dimensional code image is determined according to the remaining part of the effective area.

In some embodiments, the recognition unit 1010 is configured to determine the specified area of the specified shape in the two-dimensional code image according to the distance between each boundary line of the two-dimensional code image and each boundary line of the base image; in the specified area Recognizes the specified shape.

In some embodiments, the two-dimensional code image includes positioning characters, and the positioning character has a preset relative positional relationship with the specified shape; the recognition unit 1010 is used to combine the boundary lines of the two-dimensional code image with the corresponding boundary lines of the base image The closest one is used as the target boundary line corresponding to the positioning character, and the position of the positioning character in the two-dimensional code image is determined according to the target boundary line; according to the position of the positioning character in the two-dimensional code image, and the relative positional relationship, determine the specified The specified area of the shape in the QR code image.

In some embodiments, the generating unit 1040 is configured to: if the pixel value of the center point of a grid is equal to the first preset pixel value, or the average value of pixels of a grid is smaller than the second preset pixel value, then according to the network grid to generate a code grain of a standard QR code.

It can be understood that the above-mentioned two-dimensional code image processing device can realize each step of the two-dimensional code image processing method provided in the foregoing embodiments, and relevant explanations about the two-dimensional code image processing method are applicable to the two-dimensional code image processing device. I won't repeat them here.

Fig. 11 is a schematic structural diagram of an electronic device according to an embodiment of the present application. Please refer to FIG. 11 , at the hardware level, the electronic device includes a processor, and optionally also includes an internal bus, a network interface, and a memory. Wherein, the memory may include a memory, such as a high-speed random-access memory (Random-Access Memory, RAM), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. Of course, the electronic device may also include hardware required by other services.

The processor, the network interface and the memory can be connected to each other through an internal bus, which can be an ISA (Industry Standard Architecture, industry standard architecture) bus, a PCI (Peripheral Component Interconnect, peripheral component interconnection standard) bus or an EISA (Extended Industry Standard Architecture, extended industry standard architecture) bus, etc. The bus can be divided into address bus, data bus, control bus and so on. For ease of representation, only one double-headed arrow is used in FIG. 11 , but it does not mean that there is only one bus or one type of bus.

Memory for storing programs. Specifically, the program may include program code, and the program code includes computer operation instructions. Storage, which can include internal memory and nonvolatile storage, provides instructions and data to the processor.

The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs it, forming a two-dimensional code image processing device on a logical level. The two-dimensional code image processing device shown in FIG. 11 does not constitute a limit to the number of practical applications. The processor executes the program stored in the memory, and is specifically used to perform the following operations:

Identify the specified shape contained in the two-dimensional code from the two-dimensional code image; determine the size of the code grain in the two-dimensional code image according to the specified shape; use the size of the code grain as the grid reference, and divide the grid in the two-dimensional code image grid; according to the image content in each grid, a standard QR code is generated.

The above method performed by the two-dimensional code image processing device disclosed in the embodiment shown in FIG. 1 of the present application may be applied to a processor or implemented by the processor. A processor may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in a processor or an instruction in the form of software. The above-mentioned processor can be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; it can also be a digital signal processor (Digital Signal Processor, DSP), a dedicated integrated Circuit (Application Specific Integrated Circuit, ASIC), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. Various methods, steps, and logic block diagrams disclosed in the embodiments of the present application may be implemented or executed. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module can be located in a mature storage medium in the field such as random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, register. The storage medium is located in the memory, and the processor reads the information in the memory, and completes the steps of the above method in combination with its hardware.

The electronic device can also execute the method performed by the two-dimensional code image processing device in FIG. 1 , and realize the functions of the two-dimensional code image processing device in the embodiment shown in FIG. 10 , which will not be repeated in this embodiment of the present application.

The embodiment of the present application also provides a computer-readable storage medium, the computer-readable storage medium stores one or more programs, and the one or more programs include instructions, and when the instructions are executed by an electronic device including a plurality of application programs , the electronic device can be made to execute the method executed by the two-dimensional code image processing device in the embodiment shown in FIG. 1, and is specifically used to execute:

Those skilled in the art should understand that the embodiments of the present application may be provided as methods, systems, or computer program products. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present application is described with reference to flowcharts and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present application. It should be understood that each procedure and/or block in the flowchart and/or block diagram, and a combination of procedures and/or blocks in the flowchart and/or block diagram can be realized by computer program instructions. These computer program instructions may be provided to a general purpose computer, special purpose computer, embedded processor, or processor of other programmable data processing equipment to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing equipment produce a An apparatus for realizing the functions specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to operate in a specific manner, such that the instructions stored in the computer-readable memory produce an article of manufacture comprising instruction means, the instructions The device realizes the function specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions can also be loaded onto a computer or other programmable data processing device, causing a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process, thereby The instructions provide steps for implementing the functions specified in the flow chart or blocks of the flowchart and/or the block or blocks of the block diagrams.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

Memory may include non-permanent storage in computer-readable media, in the form of random access memory (RAM) and/or nonvolatile memory such as read-only memory (ROM) or flash RAM. Memory is an example of computer readable media.

Computer-readable media, including both permanent and non-permanent, removable and non-removable media, can be implemented by any method or technology for storage of information. Information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory (ROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Flash memory or other memory technology, Compact Disc Read-Only Memory (CD-ROM), Digital Versatile Disc (DVD) or other optical storage, Magnetic tape cartridge, tape magnetic disk storage or other magnetic storage device or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media excludes transitory computer-readable media, such as modulated data signals and carrier waves.

Those skilled in the art should understand that the embodiments of the present application may be provided as methods, systems or computer program products. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The above are only examples of the present application, and are not intended to limit the present application. For those skilled in the art, various modifications and changes may occur in this application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

A two-dimensional code image processing method, comprising:

Identify the specified shape contained in the two-dimensional code from the two-dimensional code image;

determining the size of code grains in the two-dimensional code image according to the specified shape;

Using the size of the code grain as a grid reference, dividing the grid in the two-dimensional code image;

According to the image content in each grid, a standard two-dimensional code is generated.
The method according to claim 1, wherein said determining the size of code grains in said two-dimensional code image according to said specified shape comprises:

According to the ratio of the size of each side in the specified shape to the number of code grains it contains, and the ratio of the size of each side in the two-dimensional code image to the number of code grains it contains, determine the two-dimensional code image The size of the grains.
The method according to claim 1 or 2, wherein said method further comprises:

Get the base image containing the QR code;

The area where the two-dimensional code is located is determined from the basic image, and the image of the two-dimensional code is obtained according to the determined area.
The method according to claim 3, wherein said obtaining the two-dimensional code image according to the determined area comprises:

removing the noise of the basic image according to the outline of the basic image to obtain an effective area;

Determine the boundary line of the two-dimensional code image according to the outline of the effective area, and obtain the two-dimensional code image.
The method according to claim 4, wherein the basic image is a grayscale image, and removing the noise of the basic image according to the outline of the basic image comprises:

For each boundary line in the outline of the basic image, determine a first candidate area in the basic image according to the length of the boundary line and the first preset width;

If the gray average value of the first candidate area is greater than the gray average value of the basic image, then remove the first candidate area as an area containing noise.
The method according to claim 4, wherein the basic image is a grayscale image, and determining the boundary line of the two-dimensional code image according to the outline of the effective area comprises:

For each boundary line in the outline of the effective area, determine a second candidate area in the effective area according to the length of the boundary line and a second preset width;

If the gray average value of the second candidate area is smaller than the gray threshold, the second candidate area is removed, and the boundary line of the two-dimensional code image is determined according to the remaining part of the effective area.
The method according to claim 4, wherein said identifying the specified shape contained in the two-dimensional code from the two-dimensional code image comprises:

determining a specified area of the specified shape in the two-dimensional code image according to the distance between each boundary line of the two-dimensional code image and each boundary line of the basic image;

The specified shape is recognized in the specified area.
The method according to claim 7, wherein the two-dimensional code image includes positioning characters, and the positioning characters have a preset relative positional relationship with the designated shape;

The determining the specified area of the specified shape in the two-dimensional code image according to the distance between each boundary line of the two-dimensional code image and each boundary line of the basic image includes:

Among the boundary lines of the two-dimensional code image, the one closest to the corresponding boundary line of the basic image is used as the target boundary line corresponding to the positioning character, and according to the target boundary line, it is determined that the position of the positioning character in the location in the QR code image;

According to the position of the positioning character in the two-dimensional code image and the relative positional relationship, the designated area of the designated shape in the two-dimensional code image is determined.
The method according to claim 1, wherein said generating a standard two-dimensional code according to the image content in each grid comprises:

If the pixel value of the central point of a grid is equal to the first preset pixel value, or the pixel average value of a grid is smaller than the second preset pixel value, then a code particle of the standard two-dimensional code is generated according to the grid.
A two-dimensional code image processing device, comprising:

The recognition unit is used to recognize the specified shape contained in the two-dimensional code from the two-dimensional code image;

a size unit, configured to determine the size of code grains in the two-dimensional code image according to the specified shape;

a grid unit, for dividing the grid in the two-dimensional code image by using the size of the code grain as a grid reference;

The generating unit is configured to generate a standard two-dimensional code according to the image content in each grid.
The apparatus of claim 10, wherein,

The size unit is used to determine the two-dimensional code image according to the ratio of the size of each side in the specified shape to the number of code grains it contains, and the ratio of the size of each side in the two-dimensional code image to the number of code grains it contains The size of medium grain.
Apparatus as claimed in claim 10 or 11, wherein,

The device further includes: a preprocessing unit, configured to acquire a basic image containing a two-dimensional code; determine the area where the two-dimensional code is located from the basic image, and obtain a two-dimensional code image according to the determined area.
The apparatus of claim 12, wherein,

The identification unit is used to determine the specified area of the specified shape in the two-dimensional code image according to the distance between each boundary line of the two-dimensional code image and each boundary line of the base image; and identify the specified shape in the specified area.
The apparatus of claim 10, wherein,

The generation unit is used to generate a standard two-dimensional pixel value according to the grid if the pixel value of the center point of a grid is equal to the first preset pixel value, or the pixel average value of a grid is smaller than the second preset pixel value. A code granule of the code.
A computer-readable storage medium, the computer-readable storage medium stores one or more programs, and the one or more programs include instructions that, when executed by an electronic device including a plurality of application programs, enable the electronic device to Perform the following two-dimensional code image processing method:

Identify the specified shape contained in the two-dimensional code from the two-dimensional code image; determine the size of the code grain in the two-dimensional code image according to the specified shape; use the size of the code grain as the grid reference, and divide the grid in the two-dimensional code image grid; according to the image content in each grid, a standard QR code is generated.
The computer-readable storage medium as claimed in claim 15, wherein, when the instruction is executed by an electronic device including multiple application programs, the following two-dimensional code image processing method is further executed:

According to the ratio of the size of each side in the specified shape to the number of code grains it contains, and the ratio of the size of each side in the two-dimensional code image to the number of code grains it contains, determine the two-dimensional code image The size of the grains.
The computer-readable storage medium as claimed in claim 15 or 16, wherein, when the instruction is executed by an electronic device including multiple application programs, the following two-dimensional code image processing method is further performed:

Get the base image containing the QR code;

The area where the two-dimensional code is located is determined from the basic image, and the image of the two-dimensional code is obtained according to the determined area.
The computer-readable storage medium as claimed in claim 17, wherein, when the instruction is executed by an electronic device including multiple application programs, the following two-dimensional code image processing method is further executed:

removing the noise of the basic image according to the outline of the basic image to obtain an effective area;

Determine the boundary line of the two-dimensional code image according to the outline of the effective area, and obtain the two-dimensional code image.
The computer-readable storage medium as claimed in claim 17, wherein, when the instruction is executed by an electronic device including multiple application programs, the following two-dimensional code image processing method is further executed:

determining a specified area of the specified shape in the two-dimensional code image according to the distance between each boundary line of the two-dimensional code image and each boundary line of the basic image;

The specified shape is recognized in the specified area.