WO2020114375A1

WO2020114375A1 - Two-dimensional code generation and identification methods and devices

Info

Publication number: WO2020114375A1
Application number: PCT/CN2019/122596
Authority: WO
Inventors: 梁文昭
Original assignee: 连尚（新昌）网络科技有限公司
Priority date: 2018-12-04
Filing date: 2019-12-03
Publication date: 2020-06-11
Also published as: CN109657514A; CN109657514B

Abstract

A two-dimensional code generation method, comprising: determining a plurality of positioning points in a two-dimensional code to be generated (S11); determining the multi-channel assignment of information points in a positioning area where at least one positioning point among the plurality of positioning points is located, and the multi-channel assignment of information points in the area other than the positioning area in the two-dimensional code (S12); and generating the two-dimensional code according to the multi-channel assignment of the information points in the two-dimensional code (S13). A two-dimensional code generated by said method contains information about invisible positioning points, without the need of fixing the positioning points at specific positions, so that a user can acquire the two-dimensional code information merely by scanning the two-dimensional code.

Description

Method and equipment for generating and identifying two-dimensional code

Technical field

This application relates to the field of communications, and in particular to a technique for generating and identifying two-dimensional codes.

Background technique

With the rapid development of mobile payment in recent years, two major domestic mobile payments, led by Alipay and WeChat, combined with QR codes to form a new generation of wireless payment solutions, making the payment experience faster and easier. At present, in addition to being an inseparable part of our daily payment link, the QR code has been widely used in retail, high-tech, transportation and other industries before. The current mainstream two-dimensional codes are designed for fast and robust positioning. The positioning points are information that can be perceived by the naked eye, which limits the form of the two-dimensional codes and is not conducive to the stylized development of the two-dimensional codes.

Summary of the invention

An object of this application is to provide a technique for generating and identifying a two-dimensional code.

According to an aspect of the present application, a method for generating a two-dimensional code is provided. The method includes:

Determining multiple positioning points in the two-dimensional code to be generated, wherein the two-dimensional code to be generated includes a positioning area;

Determining the multi-channel assignment of information points in the positioning area where at least one of the plurality of positioning points is located, and the multi-channel assignment of information points in areas other than the positioning area in the two-dimensional code, wherein, The multi-channel assignment includes the assignment of the first channel, and the assignment of information points in the other areas in the first channel satisfies the first distance correlation;

The two-dimensional code is generated according to multi-channel assignment of information points in the two-dimensional code.

According to another aspect of the present application, a method for identifying a two-dimensional code is provided. The method includes:

Extracting multiple channel information corresponding to the two-dimensional code from the two-dimensional code to be identified;

The convolution kernel corresponding to the two-dimensional code is used to convolve the multiple channel information to obtain corresponding multiple channel convolution information, and the multiple channel convolution information includes the first channel convolution information , Where the convolution kernel is adapted to the positioning area in the two-dimensional code;

At least one information point with the largest or smallest value in the convolution information of the first channel is determined as at least one positioning point, wherein the convolution information of the first channel is accumulated in the convolution information of the multiple channels And the most information;

The identification area in the two-dimensional code is determined according to the at least one positioning point, and an identification process is performed on the identification area.

According to an aspect of the present application, a method for generating an anchor point is provided. The method includes:

Determine multiple anchor points in the graphic code to be generated;

Determining the multi-channel assignment of information points in the positioning area where at least one of the plurality of positioning points is located, and the multi-channel assignment of information points in areas other than the positioning area in the graphic code, wherein The multi-channel assignment includes the assignment of the first channel, and the assignment of information points in the other areas in the first channel satisfies the first distance correlation.

According to an aspect of the present application, a method for identifying a positioning point is provided, and the method includes:

Extracting multiple channel information corresponding to the graphic code from the graphic code to be recognized;

Using the convolution kernel corresponding to the graphics code to perform convolution processing on the plurality of channel information to obtain corresponding plurality of channel convolution information, the plurality of channel convolution information including the first channel convolution information, Wherein, the convolution kernel is adapted to the positioning area in the graphic code;

The identification area in the graphic code is determined according to the at least one anchor point, and an identification process is performed on the identification area.

According to an aspect of the present application, a device for generating a two-dimensional code is provided, and the device includes:

A first determining module, configured to determine a plurality of positioning points in the two-dimensional code to be generated, wherein the two-dimensional code to be generated includes a positioning area;

The first according module is used to determine the multi-channel assignment of the information point in the positioning area where at least one of the plurality of positioning points is located, and the information point in the area other than the positioning area in the two-dimensional code Multi-channel assignment, wherein the multi-channel assignment includes the assignment of the first channel, and the assignment of the information points in the other areas in the first channel satisfies the first distance correlation;

The generating module is configured to generate the two-dimensional code according to multi-channel assignment of information points in the two-dimensional code.

According to another aspect of the present application, there is provided a device for identifying a two-dimensional code. The device includes:

A first extraction module, configured to extract multiple channel information corresponding to the two-dimensional code from the two-dimensional code to be identified;

The first obtaining module is configured to perform convolution processing on the multiple channel information by using the convolution kernel corresponding to the two-dimensional code to obtain corresponding multiple channel convolution information. The multiple channel convolution information includes Convolution information of the first channel, wherein the convolution kernel is adapted to the positioning area in the two-dimensional code;

A first accumulation module, configured to determine at least one information point with the largest or smallest value in the convolution information of the first channel as at least one positioning point, wherein the convolution information of the first channel is in the multiple The accumulation and information in the channel convolution information is the largest;

The first recognition module is configured to determine the recognition area in the two-dimensional code according to the at least one positioning point, and perform recognition processing on the recognition area.

The second determining module is used to determine multiple positioning points in the graphic code to be generated;

The second according module is used to determine the multi-channel assignment of the information point in the positioning area where at least one of the plurality of positioning points is located, and the information point in the area other than the positioning area in the graphic code Multi-channel assignment, wherein the multi-channel assignment includes the assignment of the first channel, and the assignment of information points in the other areas in the first channel satisfies the first distance correlation.

According to an aspect of the present application, there is provided a device for identifying an anchor point, the device including:

A second extraction module, configured to extract multiple channel information corresponding to the graphic code from the graphic code to be identified;

The second obtaining module is configured to perform convolution processing on the plurality of channel information by using the convolution kernel corresponding to the graphics code to obtain corresponding multiple channel convolution information. The multiple channel convolution information includes the first One channel of convolution information, wherein the convolution kernel is adapted to the positioning area in the graphic code;

A second accumulation module, configured to determine at least one information point with the largest or smallest value in the convolution information of the first channel as at least one positioning point, wherein the convolution information of the first channel is in the multiple The accumulation and information in the channel convolution information is the largest;

The second recognition module is used to determine the recognition area in the graphic code according to the at least one anchor point, and perform recognition processing on the recognition area.

Processor; and

A memory arranged to store computer-executable instructions, which when executed, causes the processor to execute:

According to an aspect of the present application, there is provided a computer readable medium including instructions which, when executed, cause the system to:

According to an aspect of the present application, there is provided a device for identifying a two-dimensional code, the device including:

Processor; and

According to an aspect of the present application, a device for generating an anchor point is provided. The device includes:

Processor; and

Determine multiple anchor points in the graphic code to be generated;

According to an aspect of the present application, a device for identifying a positioning point is provided, and the device includes:

Processor; and

Compared with the prior art, the present application determines the at least one positioning point in the two-dimensional code by determining multiple positioning points in the two-dimensional code to be generated, and according to at least one positioning point among the multiple positioning points Multi-channel assignment of information points in the corresponding positioning area in the code, and multi-channel assignment of information points in the area other than the positioning area in the two-dimensional code, wherein the information points in the other areas are in the first channel The value of is satisfied the first distance correlation, and then a QR code is generated according to the multi-channel assignment of the information points in the QR code. The QR code generated based on this scheme contains invisible positioning point information. The shape is flexible and diverse. Conducive to the stylized development of QR codes.

BRIEF DESCRIPTION

By reading the detailed description of the non-limiting embodiments made with reference to the following drawings, other features, objects, and advantages of the present application will become more apparent:

FIG. 1 shows a flowchart of a method for generating a two-dimensional code according to an embodiment of the present application;

2 shows a flowchart of a method for identifying a two-dimensional code according to another embodiment of the present application;

3 shows a flowchart of a method for generating positioning points according to another embodiment of the present application;

4 shows a flowchart of a method for identifying a positioning point according to another embodiment of the present application;

5 shows a schematic diagram of a device for generating a two-dimensional code according to an embodiment of the present application;

6 shows a schematic diagram of a device for identifying a two-dimensional code according to another embodiment of the present application;

7 shows a schematic diagram of a device for generating positioning points according to another embodiment of the present application;

8 shows a schematic diagram of a device for identifying an anchor point according to another embodiment of the present application;

FIG. 9 shows an exemplary system that can be used to implement various embodiments described in the present invention.

The same or similar reference signs in the drawings represent the same or similar parts.

detailed description

The application will be described in further detail below with reference to the drawings.

In a typical configuration of this application, the terminal, the device serving the network, and the trusted party all include one or more processors (such as a Central Processing Unit (CPU)), input/output interfaces, network interfaces, and memory .

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

Computer-readable media, including permanent and non-permanent, removable and non-removable media, can store information by any method or technology. The information may be computer readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PCM), programmable random access memory (Programmable Random Access Memory, PRAM), static random access memory (Static Random-Access Memory, SRAM), dynamic random access memory (Dynamic Random Access Memory, DRAM), other types of random access memory (RAM), read only memory (ROM), electrically erasable programmable read only memory (Electrically-Erasable Programmable Read -Only Memory (EEPROM), flash memory or other memory technologies, compact disc-read only memory (CD-ROM), digital versatile disc (DVD) or other optical storage , Magnetic tape cassette, magnetic tape storage or other magnetic storage devices or any other non-transmission media, can be used to store information that can be accessed by computing devices.

The equipment referred to in this application includes, but is not limited to, user equipment, network equipment, or equipment formed by integrating user equipment and network equipment through a network. The user equipment includes, but is not limited to, any mobile electronic product that can perform human-computer interaction with the user (for example, human-computer interaction through a touchpad), such as a smart phone, a tablet computer, etc. The mobile electronic product can adopt any operation System, such as android operating system, iOS operating system, etc. Wherein, the network device includes an electronic device that can automatically perform numerical calculation and information processing according to a preset or stored instruction, and its hardware includes but is not limited to a microprocessor, an application specific integrated circuit (Application Specific Integrated Circuit, ASIC ), programmable logic device (Programmable Logic Device, PLD), field programmable gate array (Field Programmable Gate Array, FPGA), digital signal processor (Digital Signal Processor, DSP), embedded equipment, etc. The network equipment includes but is not limited to a cloud composed of computers, network hosts, a single network server, multiple network server sets, or multiple servers; here, the cloud is composed of a large number of computers or network servers based on cloud computing (Cloud Computing), Among them, cloud computing is a type of distributed computing, a virtual supercomputer composed of a group of loosely coupled computers. The network includes but is not limited to the Internet, wide area network, metropolitan area network, local area network, VPN network, wireless self-organizing network (Ad Hoc network), etc. Preferably, the device may also be a program running on the user device, the network device, or the user device and the network device, the network device, the touch terminal, or the network device and the touch terminal integrated by a network.

Of course, those skilled in the art should understand that the above-mentioned devices are only examples, and other existing or future devices that may be applicable to this application should also be included in the scope of protection of this application, and are here included by reference this.

In the description of this application, the meaning of "plurality" is two or more, unless otherwise specifically limited.

FIG. 1 shows a method for generating a two-dimensional code according to an embodiment of the present application, where the method includes step S11, step S12, and step S13. In step S11, the user equipment determines a plurality of positioning points in the two-dimensional code to be generated, wherein the two-dimensional code to be generated includes a positioning area; in step S12, at least one of the plurality of positioning points is determined Multi-channel assignment of information points in the positioning area where the positioning point is located, and multi-channel assignment of information points in the area other than the positioning area in the two-dimensional code, wherein the multi-channel assignment includes the first channel’s Assignment, the assignment of the information points in the other areas on the first channel meets the first distance correlation; in step S13, the user equipment generates the second channel according to the multi-channel assignment of the information points in the two-dimensional code Dimension code.

Specifically, in step S11, the user equipment determines a plurality of positioning points in the two-dimensional code to be generated, where the two-dimensional code to be generated includes a positioning area. For example, the positioning area includes an area containing positioning points. Nowadays, mainstream two-dimensional codes include three positioning points, and the user equipment determines that all three positioning points in the two-dimensional code to be generated by this solution are non-visible positioning points, or The user equipment determines that there are two non-visible positioning points among the three positioning points in the two-dimensional code to be generated in this solution.

In step S12, the user equipment determines multi-channel assignment of information points in a positioning area where at least one of the plurality of positioning points is located, and information points in areas other than the positioning area in the two-dimensional code Multi-channel assignment, wherein the multi-channel assignment includes the assignment of the first channel, and the assignment of the information points in the other areas in the first channel satisfies the first distance correlation. The information point includes a pixel point, and the positioning area includes a pixel area where the positioning point is located. For example, the user equipment selects one of the three positioning points of the two-dimensional code, and sets Multi-channel assignment of the anchor point, where multi-channel assignment includes component assignment of R, G, and B channels. The user equipment selects any of the three RGB channels as the first channel. If the R channel is selected as the first channel Then, it is necessary to determine the respective values of the components of the three channels R, G, and B of the pixel where the positioning point is located. The user equipment determines the values of the components of the three channels of R, G, and B in the area other than the positioning area in the two-dimensional code, wherein the pixels in the areas other than the positioning area are in the first channel The value of the component satisfies the first distance correlation, where the first distance correlation includes that the distance between the pixel point and the positioning point in other regions is correlated with the value of the pixel component in the first channel.

In step S13, the user equipment generates the two-dimensional code according to the multi-channel assignment of information points in the two-dimensional code. For example, the user equipment determines the multi-channel assignment of the positioning point in the positioning area, and generates the two-dimensional code according to the relationship between other information in the two-dimensional code and the positioning point information, where the other information includes but is not limited to data encoding and error correction encoding Wait for the content information of the QR code.

For example, if the user holds the user equipment, the user equipment first determines three positioning points x, y, and z in the two-dimensional code to be generated. The user equipment uses the R, G, and B color spaces to assign pixels. The user equipment selects the positioning point x and uses R as the main channel, and sets the R channel component of the pixel where the positioning point x is 119, the G channel component is 0, the B channel component is 0, and the positioning point x is around the center 3* The G channel component of other pixel points in other areas at a distance of 3 is 119, and the B channel component is 119. The R channel component is gradually reduced according to the distance from the positioning point x; the user equipment selects the positioning point y and uses R as the main channel. The R channel component of the pixel where the fixed positioning point y is located is 119, the G channel component is 0, and the B channel component is 0, and the G channel component of other pixels in other areas with a distance of 3*3 around the center of the positioning point y is 119 The B channel component is 119, and the R channel component gradually decreases according to the distance from the positioning point y; the user equipment selects the positioning point z and uses R as the main channel, setting the R channel component of the pixel where the positioning point z is located to 119, G The channel component is 0, the B channel component is 0, and the G channel component of other pixels in other areas with a distance of 3*3 around the center of the positioning point z is 119, the B channel component is 119, and the R channel component is based on the distance positioning point z The distance gradually decreases; the user equipment determines to generate the corresponding two-dimensional code based on the assignment of the R, G, and B channels on the pixels in the two-dimensional code.

In some embodiments, each information point in the positioning area has the same multi-channel assignment, or the difference between the multi-channel assignments of any two information points in the positioning area is less than or equal to the first assignment difference threshold. For example, each information point in the positioning area includes three positioning points in the two-dimensional code determined by the user equipment, the three positioning points are located in the positioning area, and the pixels on which the three positioning points are located R, The assigned components of the three channels G and B are the same, or, for any two of the three positioning points in the two-dimensional code determined by the user equipment, the R, G, and The difference between the assignment components of the three channels B is less than or equal to the first assignment difference threshold information, where the first assignment difference threshold is close to zero.

For example, if the user holds the user equipment, the user equipment first determines three positioning points x, y, and z in the two-dimensional code to be generated. The user equipment selects the positioning point x and uses R as the main channel, and sets the R channel component of the pixel where the positioning point x is 119, the G channel component is 0, and the B channel component is 0; the user equipment selects the positioning point y and uses R is the main channel, set the R channel component of the pixel where the positioning point y is 119, G channel component is 0, and B channel component is 0; the user equipment selects the positioning point z and uses R as the main channel to set the positioning point The R channel component of the pixel where z is located is 119, the G channel component is 0, and the B channel component is 0; or, the user equipment selects the positioning point x and uses R as the main channel to set the R channel of the pixel where the positioning point x is located The component is 119, the G channel component is 0, and the B channel component is 0. For example, the first assignment difference threshold is 0.1. According to the first assignment difference, that is, the R, G, and B channel components of the pixel at point x, locate the point y The R channel component range of the pixel is 118.9～119.19, the G channel component range is -0.1～0.1, the B channel component range is -0.1～0.1, and the R, G and B values are integers between 0 and 255, so The channel components corresponding to R, G, and B of the pixel where the positioning point y is located are 119, 0, and 0, respectively.

In some embodiments, the information points in the positioning area are assigned the same value in different channels, or the information points in the positioning area are assigned in the first channel and the information points are in addition to the first channel The difference in the assignment of other channels is less than or equal to the second assignment difference threshold information. For example, each information point in the positioning area includes three positioning points in the two-dimensional code determined by the user equipment, the three positioning points are located in the positioning area, and the evaluation components of the three positioning points in the R channel are all For K, the assigned component in the G channel is K1, the assigned component in the B channel is K2, or the user equipment selects the positioning point x, and selects any channel of RGB as the first channel, the assignment and the The difference of the assignment of other channels is less than or equal to the second assignment difference threshold information, wherein the second assignment difference is close to the assignment of the anchor point in the first channel.

For example, if the user holds the user equipment, the user equipment first determines the three positioning points x, y, and z in the two-dimensional code to be generated. The user equipment selects the positioning point x and uses R as the main channel, setting the R channel component of the pixel where the positioning point x, y, z is 119, and setting the G channel component of the pixel where the positioning point x, y, z is 0, set the B channel component of the pixel where the positioning points x, y, z are located to 0; or, the user equipment selects the positioning point x and uses R as the main channel, such as the second assignment difference threshold is 119.1, and the positioning point x The R channel component range of the pixel is 118.9～119.19, the G channel component range is -0.1～0.1, the B channel component range is -0.1～0.1, and the R, G and B values are integers between 0 and 255, so The R, G, and B corresponding channel components of the pixel where the positioning point x is located are 119, 0, and 0, respectively.

In some embodiments, the first distance correlation includes any one of the following: the information point in the other area is assigned to the first channel and the distance information between the information point and the at least one positioning point Negative correlation; the value of the information point in the other area in the first channel is positively related to the distance information between the information point and the at least one positioning point. among them. The information points include pixel points. For example, the user equipment determines three positioning points in the two-dimensional code, and selects any channel in RGB as the first channel, and sets the assignment component of the first channel in the positioning point area. The assigned component of any pixel in the m*m area around the center area in the first channel is inversely proportional to the distance of the pixel from the positioning point, or the user equipment determines the three positioning points in the QR code and selects the RGB Any channel is the first channel, set the first-channel assignment component in the anchor point area, and use the anchor point as the center area around the m*m area. The distance is proportional.

For example, if the user holds the user equipment, the user equipment first determines the three positioning points x, y, and z in the two-dimensional code to be generated. The user equipment selects the positioning point x and uses R as the main channel, and sets the R channel component of the pixel where the positioning point x is to be 119. The user equipment selects the area with the positioning point x as the center and 4*4 from the point. The middle information point setting R channel component is inversely proportional to the distance of the information point from the anchor point. For example, if the A information point is farther from the anchor point x, the R channel component of point A is smaller. Alternatively, the user equipment selects the positioning point x and uses R as the main channel, and sets the R channel component of the pixel where the positioning point x is 119. The user equipment selects the area 4×4 from the point with the positioning point x as the center. The component of the R channel of the information point in this area is proportional to the distance of the information point from the positioning point. For example, if the A information point is farther from the positioning point x, the R channel component of point A is larger.

In some embodiments, the information points in the other areas are assigned a value of zero in channels other than the first channel, or the information points in the other areas are in channels other than the first channel Is less than or equal to the third assignment threshold. For example, the user equipment determines three positioning points in the two-dimensional code, and selects any channel in RGB as the first channel, sets the assignment component of the first channel in the positioning point area, and takes the positioning point as the center area around m*m The assigned component of any pixel in the area other than the first channel is 0, or the user equipment determines three positioning points in the two-dimensional code, and selects any channel in RGB as the first channel, at the positioning point The evaluation component of the first channel is set in the area, and the evaluation component of any pixel point in the m*m area around the center area in the other channels except the first channel is less than or equal to the third evaluation threshold information, wherein, the The third assignment threshold is close to zero.

For example, if the user holds the user equipment, the user equipment first determines the three positioning points x, y, and z in the two-dimensional code to be generated. The user equipment selects the positioning point x and uses R as the main channel, and sets the R channel component of the pixel where the positioning point x is to be 119. The user equipment selects the area with the positioning point x as the center and 4*4 from the point. The middle information point sets the component of the G and B channels to 0, or the user equipment selects the positioning point x, and uses R as the main channel, sets the R channel component of the pixel where the positioning point x is 119, and the user equipment selects the positioning point x is the area where the center is 4*4 from the point, and the components of the G and B channels in the information point in this area are close to 0, for example, 0.0001.

Figure 1 above provides a method for generating a two-dimensional code. Based on this method, a plurality of positioning points in the two-dimensional code are first determined, wherein the plurality of positioning points select three channels of R, G, and B for assignment , When the assignment of each channel meets certain conditions, generate multiple invisible positioning points of the two-dimensional code, and then use the positioning points to combine with other information to generate two-dimensional code. The two-dimensional code generated based on this scheme is flexible and diverse. The stylized development of the dimension code form has a great impetus.

The above-mentioned FIG. 1 provides a method for generating a two-dimensional code, and a method for identifying a two-dimensional code will be described below in conjunction with FIG. 2. In FIG. 2, the content corresponding to FIG. 1 may refer to the detailed introduction in FIG. 1, and will not be described in detail later.

FIG. 2 shows a method for identifying a two-dimensional code according to an embodiment of the present application, characterized in that the method includes step S21, step S22, step S23, and step S24. In step S21, the user equipment extracts multiple channel information corresponding to the two-dimensional code from the two-dimensional code to be recognized; in step S22, the user equipment verifies the multiple channels using the convolution corresponding to the two-dimensional code The channel information is separately subjected to convolution processing to obtain corresponding multiple channel convolution information, the multiple channel convolution information includes the first channel convolution information, wherein the convolution kernel and the two-dimensional code The positioning area is adapted; in step S23, the user equipment determines at least one information point with the largest or smallest value in the convolution information of the first channel as at least one positioning point, wherein the convolution information of the first channel The cumulative sum information among the multiple channel convolution information is the largest; in step S24, the user equipment determines the recognition area in the two-dimensional code according to the at least one positioning point, and performs recognition processing on the recognition area .

Specifically, in step S21, the user equipment extracts a plurality of channel information corresponding to the two-dimensional code from the two-dimensional code to be recognized. For example, the recognition operation includes but is not limited to scanning, shooting and other operations. The user equipment captures or scans the picture information where the two-dimensional code is located, and decomposes the picture into R, G, and B channels. For example, you can use Opencv to extract three channels of an image.

In step S22, the user equipment uses the convolution kernel corresponding to the two-dimensional code to perform convolution processing on the multiple channel information to obtain corresponding multiple channel convolution information. The multiple channel convolution information Contains first-channel convolution information, where the convolution kernel is adapted to the positioning area in the two-dimensional code. For example, for a two-dimensional code corresponding to the size of the m*m area, the user equipment constructs an m*m convolution kernel. The center value of the convolution kernel is 1, and the smaller the value from the center of the convolution kernel. The user equipment uses the m*m convolution kernel to perform convolution processing on the three channels R, G, and B to obtain the accumulated value of each channel after the convolution.

In step S23, the user equipment determines at least one information point with the largest or smallest value in the convolution information of the first channel as at least one anchor point, where the convolution information of the first channel is in the multiple The cumulative sum information in the channel convolution information is the largest. For example, the convolution information includes accumulated value information. The user equipment constructs an m*m convolution kernel to perform convolution processing on the three channels of R, G, and B, obtains the accumulated value of each channel after convolution, and determines that the accumulated value is the largest Is the first channel, and the user equipment uses one or more points with the largest value in the multiple accumulated value information of the first channel as the positioning point.

In step S24, the user equipment determines the recognition area in the two-dimensional code according to the at least one positioning point, and performs recognition processing on the recognition area. For example, the user equipment determines one or more positioning points of the two-dimensional code after scanning the picture, determines a scanning area according to the one or more positioning points, and obtains two-dimensional code information after scanning the two-dimensional code.

For example, the user holds the user device to scan the QR code. First, the picture with the QR code is obtained by taking a picture or scanning, and the Opencv split function is used to decompose the picture into R, G, and B channels. The user device Construct an m*m convolution kernel. Here, in order to be consistent with the positioning area in the two-dimensional code, a 3*3 convolution kernel can be used. The center value of the convolution kernel is 1, and the other values are set to 0. For R and G And B channels, the user equipment uses the 3*3 convolution kernel to perform convolution processing to obtain the accumulated values of the R, G, and B channels. For example, in the QR code, the R channel at the center The assignment value is 119, the assignment values of the G and B channels are 0, the assignment values of the R channels of the pixels other than the center are 0, and the assignment values of the G and B channels are arbitrary values. The user equipment adopts a 3*3 convolution kernel to perform convolution processing to obtain the values of R, G, and B channels as 119, 0, and 0, respectively. In turn, convolve the three channels R, G, and B in other regions, and obtain the values of the three channels R, G, and B as 109, 0, 0, and so on, and obtain the three channels of R, G, and B in other regions. The value is 109, 0, 0, and then the user equipment will accumulate the values obtained in the three channels of R, G, and B to determine that the accumulated value of the R channel is the largest, determine that R is the first channel, and from the value of the R channel The three center points with the highest calculated value are selected as the positioning points of the QR code.

In some embodiments, the assignment of the information points in the two-dimensional code except the positioning area in the first channel satisfies the first distance correlation; the assignment of the information points in the convolution kernel The second distance correlation is satisfied; the first distance correlation is adapted to the second distance correlation. For example, the information point includes a pixel point. In the two-dimensional code to be scanned, the first channel assignment for the pixel point in the area other than the positioning area is related to the distance from the pixel point to the positioning point. For example, the farther a pixel is from a positioning point, the smaller the first channel component of the point. For the convolution kernel constructed by the user equipment, the farther the value in the convolution kernel is from the center, the smaller the assignment.

For example, the user holds the user equipment, and the user selects a picture with two-dimensional code information to be scanned. In the two-dimensional code information, the value of the first channel component in the positioning area is set to 119, and other than the positioning area In the area, the pixels farther away from the positioning area have a smaller value in the first channel component, which satisfies the feature inversely proportional to the distance. For the convolution kernel selected by the user equipment for convolution processing, the convolution The center value of the core is 1, and the farther away from the center, the smaller the value, which satisfies the feature inversely proportional to the distance.

In some embodiments, the second distance correlation includes any one of the following: the distance information between the center point of the convolution kernel and the information point in the convolution kernel is negatively correlated with the value of the information point The distance information between the center point of the convolution kernel and the information point in the convolution kernel is positively correlated with the assignment of the information point. For example, the user equipment constructs an m*m convolution kernel, the center value of the convolution kernel is fixed, and the assignment of other information points of the convolution except the center point is set to be inversely proportional to the distance of the information point from the center, or the user equipment constructs m*m convolution kernel, the central value of the convolution kernel is fixed, and the value of other information points in the convolution except the center point is set to be proportional to the distance of the information point from the center.

For example, the user holds the user device to scan the QR code. First, the picture with the QR code is obtained by taking a picture or scanning, and the Opencv split function is used to decompose the picture into R, G, and B channels. The user device Construct the m*m convolution kernel. Here, in order to be consistent with the positioning area in the two-dimensional code, a 3*3 convolution kernel can be used. The center value of the convolution kernel is 1, in other regions of the convolution kernel, the distance The farther the center is, the smaller the assigned value of the information point, or the user holds the user device to scan the QR code, first obtain the picture with the QR code by taking pictures or scanning, and use the Opencv split function to convert the picture It is decomposed into three channels of R, G, and B. The user equipment constructs an m*m convolution kernel. Here, in order to be consistent with the positioning area in the two-dimensional code, a 3*3 convolution kernel can be used. 1. In other regions of the convolution kernel, the farther away from the center, the larger the assignment of the information point where it is located.

In some embodiments, the second distance correlation includes distance information between the center point of the convolution kernel and the information point in the convolution kernel, which is negatively correlated with the assignment of the information point; step S23 includes, At least one information point having the largest value in the convolution information of the first channel is determined as the at least one positioning point, wherein the convolution information of the first channel is accumulated in the convolution information of the plurality of channels And information is the biggest. For example, the user equipment constructs an m*m convolution kernel, and in addition to the central point assignment in the convolution kernel, the assignment of other information points is inversely proportional to the distance information between the central points of the convolution kernel. The information includes accumulated value information. The user equipment constructs an m*m convolution check to perform convolution processing on the three channels R, G, and B to obtain the accumulated value of each channel after convolution, and determines that the largest accumulated value is the first channel. The user equipment uses one or more points with the largest value in the multiple accumulated value information of the first channel as the positioning point.

In some embodiments, the second distance correlation includes distance information between the center point of the convolution kernel and the information point in the convolution kernel, which is positively correlated with the value of the information point; step S23 includes, Determining at least one information point with the smallest value in the convolution information of the first channel as the at least one positioning point, wherein the convolution information of the first channel is accumulated in the convolution information of the multiple channels And information is the biggest. For example, the user equipment constructs an m*m convolution kernel, and sets the assignment of information points other than the central point in the convolution kernel to be proportional to the distance information between the central points of the convolution kernel. The convolution information Including the accumulated value information, the user equipment constructs an m*m convolution kernel to perform convolution processing on the three channels R, G, and B to obtain the accumulated value of each channel after convolution, and determines that the largest accumulated value is the first channel. The user The device uses one or more points with the smallest value among the multiple accumulated value information of the first channel as the positioning point.

For example, the user holds the user device to scan the QR code. First, the picture with the QR code is obtained by taking a picture or scanning, and the Opencv split function is used to decompose the picture into R, G, and B channels. The user device Construct an m*m convolution kernel. Here, in order to be consistent with the positioning area in the two-dimensional code, a 3*3 convolution kernel can be used. The center value of the convolution kernel is 0, and the other values are set to 1. For R and G And B channels, the user equipment uses the 3*3 convolution kernel to perform convolution processing to obtain the accumulated values of the R, G, and B channels. For example, in the QR code, the R channel at the center The assignment value is 1, the assignment values of the G and B channels are respectively 0, the assignment value of the R channel of the pixels other than the center is 1, and the assignment values of the G and B channels are arbitrary values, respectively. The user equipment adopts 3*3 convolution kernels to perform convolution processing to obtain values of R, G, and B channels as 8, 0, and 0, respectively. In turn, convolve the three channels R, G, and B in other regions, get the values of the three channels R, G, and B as 9, 0, 0, and so on, and get the three channels R, G, and B in other regions. The value is 10, 0, 0, and then the user equipment will accumulate the values obtained in the three channels of R, G, and B to determine that the accumulated value of the R channel is the largest, determine that R is the first channel, and from the value of the R channel The three center points with the smallest calculated value are selected as the positioning points of the QR code.

The above Figure 2 provides a method for identifying a two-dimensional code. Based on this method, the assignment of the three channels R, G, and B in the two-dimensional code is first identified, and the three channels are respectively convolved using corresponding convolution kernels. Obtain the convolution information, and then determine the positioning point according to the convolution information, accurately identify the positioning point in the invisible two-dimensional code information, and successfully read the two-dimensional code information. The above mainly describes the method for generating a two-dimensional code and the method for identifying a two-dimensional code provided by the present application. In addition, the present application also provides a method for generating an anchor point and a method for identifying an anchor point The method is described below in conjunction with Figures 3 and 4. Among them, in FIGS. 3 and 4, the content similar to the method shown in FIG. 1 or FIG. 2 may refer to the detailed introduction in FIG. 1 or FIG. 2, and will not be described in detail later.

FIG. 3 shows a method for generating positioning points according to an embodiment of the present application, characterized in that the method includes step S31 and step S32. In step S31, the user equipment determines multiple positioning points in the graphic code to be generated, wherein the graphic code includes a positioning area; in step S32, the user equipment determines at least one of the multiple positioning points Multi-channel assignment of information points in the location area where they are located, and multi-channel assignment of information points in areas other than the positioning area in the graphic code, where the multi-channel assignment includes the assignment of the first channel, so The assignment of the information points in the other areas in the first channel satisfies the first distance correlation.

Specifically, in step S31, the user equipment determines a plurality of positioning points in the graphic code to be generated, where the graphic code includes a positioning area. For example, the user equipment determines that all three anchor points in the graphic code to be generated are non-visible anchor points, or the user equipment determines that there are two non-visible anchor points in the three anchor points in the graphic code to be generated in this solution .

In step S32, the user equipment determines the multi-channel assignment of the information point in the positioning area where at least one of the plurality of positioning points is located, and the information point in the area other than the positioning area in the graphic code Multi-channel assignment, wherein the multi-channel assignment includes the assignment of the first channel, and the assignment of information points in the other areas in the first channel satisfies the first distance correlation. For example, the user equipment selects one of the three positioning points of the graphic code, and sets a multi-channel assignment on the positioning point in the positioning area where the positioning point is located, where the multi-channel assignment includes component assignment of the three channels of RGB , The user equipment selects any of the three RGB channels as the first channel. If the R channel is selected as the first channel, then it is necessary to determine the components of the R, G, and B channels of the pixel where the positioning point is located. value. The user equipment determines the values of the components of the three channels R, G, and B in the area other than the positioning area in the code, where the pixels in the areas other than the positioning area are in the first channel The value of the component satisfies the first distance correlation, where the first distance correlation includes that the distance between the pixel point and the positioning point in other regions is correlated with the value of the pixel component in the first channel.

For example, if the user holds the user equipment, the user equipment first determines the three positioning points x, y, and z in the graphic code to be generated. The user equipment uses the R, G, and B color spaces to assign pixels. The user equipment selects the positioning point x and uses R as the main channel, and sets the R channel component of the pixel where the positioning point x is 119, the G channel component is 0, the B channel component is 0, and the positioning point x is around the center 3* The G channel component of other pixel points in other areas at a distance of 3 is 119, and the B channel component is 119. The R channel component is gradually reduced according to the distance from the positioning point x; the user equipment selects the positioning point y and uses R as the main channel. The R channel component of the pixel where the fixed positioning point y is located is 119, the G channel component is 0, and the B channel component is 0, and the G channel component of other pixels in other areas with a distance of 3*3 around the center of the positioning point y is 119 The B channel component is 119, and the R channel component gradually decreases according to the distance from the positioning point y; the user equipment selects the positioning point z and uses R as the main channel, setting the R channel component of the pixel where the positioning point z is located to 119, G The channel component is 0, the B channel component is 0, and the G channel component of other pixels in other areas with a distance of 3*3 around the center of the positioning point z is 119, the B channel component is 119, and the R channel component is based on the distance positioning point z The distance gradually decreases.

Figure 3 above provides a method for generating anchor points. Based on this method, multiple anchor points in the graphic code are first determined. Among these anchor points, three channels R, G, and B are selected for assignment. When the assignment of each channel satisfies certain conditions, multiple invisible positioning points of the graphic code are generated. The positioning point generated based on this scheme is flexible and diverse, and is not limited to the positioning points visible to the naked eye.

The above-mentioned FIG. 3 provides a method for generating positioning points, and a corresponding method for identifying positioning points will be described below with reference to FIG. 4. In FIG. 4, the content corresponding to FIG. 3 may refer to the detailed introduction in FIG. 3, and will not be described in detail later.

FIG. 4 shows a method for identifying positioning points according to an embodiment of the present application, characterized in that the method includes step S41, step S42, step S43, and step S44. In step S41, the user equipment extracts multiple channel information corresponding to the graphic code from the graphic code to be recognized; in step S42, the user equipment uses the convolution corresponding to the graphic code to check the multiple channel information respectively Performing convolution processing to obtain corresponding multiple channel convolution information, the multiple channel convolution information including the first channel convolution information, wherein the convolution kernel is adapted to the positioning area in the graphic code; In step S43, the user equipment determines at least one information point with the largest or smallest value in the convolution information of the first channel as at least one positioning point, where the convolution information of the first channel is in the multiple The cumulative sum information in the channel convolution information is the largest; in step S44, the user equipment determines the recognition area in the graphic code according to the at least one anchor point, and performs recognition processing on the recognition area.

In step S41, the user equipment extracts a plurality of channel information corresponding to the graphic code from the graphic code to be recognized. For example, the user equipment captures or scans the picture information where the graphic code is located, and decomposes the picture into R, G, and B channels. For example, you can use Opencv to extract three channels of an image.

In step S42, the user equipment performs convolution processing on the plurality of channel information by using the convolution kernel corresponding to the graphics code to obtain corresponding multiple channel convolution information. The multiple channel convolution information includes the first One channel of convolution information, wherein the convolution kernel is adapted to the positioning area in the graphic code. For example, corresponding to the code of the size of the m*m area, the user equipment constructs an m*m convolution kernel. The center value of the convolution kernel is 1, and the smaller the value from the center of the convolution kernel, the farther away. The user equipment uses the m*m convolution kernel to perform convolution processing on the three channels R, G, and B to obtain the accumulated value of each channel after the convolution.

In step S43, the user equipment determines at least one information point with the largest or smallest value in the convolution information of the first channel as at least one positioning point, where the convolution information of the first channel is in the multiple The cumulative sum information in the channel convolution information is the largest. For example, the convolution information includes accumulated value information. The user equipment constructs an m*m convolution kernel to perform convolution processing on the three channels of R, G, and B, obtains the accumulated value of each channel after convolution, and determines that the accumulated value is the largest Is the first channel, and the user equipment uses one or more points with the largest value in the multiple accumulated value information of the first channel as the positioning point.

In step S44, the user equipment determines the recognition area in the graphic code according to the at least one anchor point, and performs recognition processing on the recognition area. For example, the user equipment determines one or more positioning points of the code after scanning the picture, determines a scanning area according to the one or more positioning points, and obtains code information after scanning the code.

For example, the user holds the user device to perform the scan code operation. First, the picture with the code is obtained by taking a picture or scanning, and the Opencv split function is used to decompose the picture into R, G, and B channels. The user device constructs m*m Convolution kernel, in order to be consistent with the positioning area in the code, a 3*3 convolution kernel can be used. The center value of the convolution kernel is 1, and the other values are set to 0. For the three channels of R, G, and B, The user equipment uses the 3*3 convolution kernel to perform convolution processing to obtain the accumulated values of the R, G, and B channels. For example, in the code, the R channel at the center is assigned the value of 119, G, and B channels. The values of are respectively 0, the values of R channels of pixels other than the center are 0, and the values of G and B channels are arbitrary values. The user equipment adopts a 3*3 convolution kernel to perform convolution processing to obtain the values of R, G, and B channels as 119, 0, and 0, respectively. In turn, convolve the three channels R, G, and B in other regions, and obtain the values of the three channels R, G, and B as 109, 0, 0, and so on, and obtain the three channels of R, G, and B in other regions. The value is 109, 0, 0, and then the user equipment will accumulate the values obtained in the three channels of R, G, and B to determine that the accumulated value of the R channel is the largest, determine that R is the first channel, and from the value of the R channel The three center points with the highest calculated value are selected as the anchor points of the code.

Figure 4 above provides a method for identifying anchor points. Based on this method, the assignment of the three channels R, G, and B in the graphic code is first identified, and the corresponding convolution kernel is used to convolve the three channels to obtain the convolution. Product information, and then determine the positioning point according to the convolution information, and accurately identify the positioning point in the invisible graphics code information, which provides a basis for the subsequent reading of the graphics code information.

The above mainly introduces the method provided by the present application, and the equipment provided by the present application will be separately introduced below with reference to FIGS. 5 to 8.

FIG. 5 shows a user equipment for generating a two-dimensional code according to an embodiment of the present application. The user equipment includes a large unit or module capable of performing various steps in the method shown in FIG. 1. These units or modules can be implemented by hardware , Software or a combination of software and hardware, this application is not limited. Among them, in FIG. 5, the content corresponding to the method shown in FIG. 1 can be referred to the detailed introduction in FIG. 1. Specifically, the device includes a first determination module 11, a first basis module 12, and a generation module 13. The first determining module 11 is used to determine a plurality of positioning points in the two-dimensional code to be generated, wherein the two-dimensional code to be generated includes a positioning area; the first according to the module 12 is used to determine the plurality of positioning Multi-channel assignment of information points in the positioning area where at least one positioning point is located, and multi-channel assignment of information points in the area other than the positioning area in the two-dimensional code, wherein the multi-channel assignment includes The assignment of the first channel, the assignment of the information points in the other areas in the first channel meets the first distance correlation; the generation module 13 is used to generate the multi-channel assignment of the information points in the two-dimensional code The two-dimensional code.

Specifically, the first determining module 11 is configured to determine a plurality of positioning points in the two-dimensional code to be generated, wherein the two-dimensional code to be generated includes a positioning area. For example, the positioning area includes an area containing positioning points. Nowadays, mainstream two-dimensional codes include three positioning points, and the user equipment determines that all three positioning points in the two-dimensional code to be generated by this solution are non-visible positioning points, or The user equipment determines that there are two non-visible positioning points among the three positioning points in the two-dimensional code to be generated in this solution.

The first according to module 12 is used to determine the multi-channel assignment of the information point in the positioning area where at least one of the plurality of positioning points is located, and the information in the area other than the positioning area in the two-dimensional code Multi-channel assignment of points, wherein the multi-channel assignment includes the assignment of the first channel, and the assignment of information points in the other areas in the first channel satisfies the first distance correlation. The information point includes a pixel point, and the positioning area includes a pixel area where the positioning point is located. For example, the user equipment selects one of the three positioning points of the two-dimensional code, and sets The multi-channel assignment of the anchor point, where the multi-channel assignment includes the component assignment of the three channels R, G, and B. The user equipment selects any of the three channels R, G, and B as the first channel. If the R channel is selected here It is the first channel, and then the values of the components of the three channels R, G, and B of the pixel where the positioning point is located must be determined. The user equipment determines the values of the components of the three channels of R, G, and B in the area other than the positioning area in the two-dimensional code, wherein the pixels in the areas other than the positioning area are in the first channel The value of the component satisfies the first distance correlation, where the first distance correlation includes that the distance between the pixel point and the positioning point in other regions is correlated with the value of the pixel component in the first channel.

The generating module 13 is configured to generate the two-dimensional code according to multi-channel assignment of information points in the two-dimensional code. For example, the user equipment determines the multi-channel assignment of the positioning point in the positioning area, and generates the two-dimensional code according to the relationship between other information in the two-dimensional code and the positioning point information, where the other information includes but is not limited to data encoding and error correction encoding Wait for the content information of the QR code.

For example, if the user holds the user equipment, the user equipment first determines the three positioning points x, y, and z in the two-dimensional code to be generated. The user equipment selects the positioning point x and uses R as the main channel, and sets the R channel component of the pixel where the positioning point x is 119, the G channel component is 0, and the B channel component is 0; the user equipment selects the positioning point y and uses R is the main channel, set the R channel component of the pixel where the positioning point y is 119, G channel component is 0, and B channel component is 0; the user equipment selects the positioning point z and uses R as the main channel to set the positioning point The R channel component of the pixel where z is located is 119, the G channel component is 0, and the B channel component is 0; or, the user equipment selects the positioning point x and uses R as the main channel to set the R channel of the pixel where the positioning point x is located The component is 119, the G channel component is 0, and the B channel component is 0. For example, the first assignment difference threshold is 0.1. According to the first assignment difference, that is, the R, G, and B channel components of the pixel at point x, locate the point y The R channel component range of the pixel is 118.9～119.19, the G channel component range is -0.1～0.1, the B channel component range is -0.1～0.1, and the R, G and B values are integers between 0 and 255, so The channel components corresponding to R, G, and B of the pixel where the positioning point y is located are 119, 0, and 0, respectively.

For example, if the user holds the user equipment, the user equipment first determines three positioning points x, y, and z in the two-dimensional code to be generated. The user equipment selects the positioning point x and uses R as the main channel, setting the R channel component of the pixel where the positioning point x, y, z is 119, and setting the G channel component of the pixel where the positioning point x, y, z is 0, set the B channel component of the pixel where the positioning points x, y, z are located to 0; or, the user equipment selects the positioning point x and uses R as the main channel, such as the second assignment difference threshold is 119.1, and the positioning point x The R channel component range of the pixel is 118.9～119.19, the G channel component range is -0.1～0.1, the B channel component range is -0.1～0.1, and the R, G and B values are integers between 0 and 255, so The R, G, and B corresponding channel components of the pixel where the positioning point x is located are 119, 0, and 0, respectively.

For example, if the user holds the user equipment, the user equipment first determines three positioning points x, y, and z in the two-dimensional code to be generated. The user equipment selects the positioning point x and uses R as the main channel, and sets the R channel component of the pixel where the positioning point x is to be 119. The user equipment selects the area with the positioning point x as the center and 4*4 from the point. The middle information point setting R channel component is inversely proportional to the distance of the information point from the anchor point. For example, if the A information point is farther from the anchor point x, the R channel component of point A is smaller. Alternatively, the user equipment selects the positioning point x and uses R as the main channel, and sets the R channel component of the pixel where the positioning point x is 119. The user equipment selects the area 4×4 from the point with the positioning point x as the center. The component of the R channel of the information point in this area is proportional to the distance of the information point from the positioning point. For example, if the A information point is farther from the positioning point x, the R channel component of point A is larger.

FIG. 6 shows a user equipment for identifying a two-dimensional code according to an embodiment of the present application. The user equipment includes a large unit or module capable of performing various steps in the method shown in FIG. 2. These units or modules can be implemented by hardware , Software or a combination of software and hardware, this application is not limited. Among them, in FIG. 6, the content corresponding to the method shown in FIG. 2 can be referred to the detailed introduction in FIG. Specifically, the device includes a first extraction module 21, a first acquisition module 22, a first accumulation module 23, and a first recognition module 24. The first extraction module 21 is used to extract multiple channel information corresponding to the two-dimensional code from the two-dimensional code to be identified; the first obtaining module 22 is used to check the convolution by using the convolution corresponding to the two-dimensional code The multiple channel information is separately subjected to convolution processing to obtain corresponding multiple channel convolution information, the multiple channel convolution information includes the first channel convolution information, wherein the convolution kernel and the two-dimensional code The localization area in the application is adapted; the first accumulation module 23 is used to determine at least one information point with the largest or smallest value in the convolution information of the first channel as at least one positioning point, where the The cumulative sum information of the convolution information in the multiple channels of convolution information is the largest; the first identification module 24 is used to determine the identification area in the two-dimensional code according to the at least one positioning point, and to identify the The area performs recognition processing.

Specifically, the first extraction module 21 is configured to extract multiple channel information corresponding to the two-dimensional code from the two-dimensional code to be recognized. For example, the recognition operation includes but is not limited to scanning, shooting and other operations. The user equipment captures or scans the picture information where the two-dimensional code is located, and decomposes the picture into R, G, and B channels. For example, you can use Opencv to extract three channels of an image.

The first obtaining module 22 is configured to perform convolution processing on the plurality of channel information by using the convolution kernel corresponding to the two-dimensional code to obtain corresponding multiple channel convolution information. The multiple channel convolution The information includes first-channel convolution information, where the convolution kernel is adapted to the positioning area in the two-dimensional code. For example, for a two-dimensional code corresponding to the size of the m*m area, the user equipment constructs an m*m convolution kernel. The center value of the convolution kernel is 1, and the smaller the value from the center of the convolution kernel. The user equipment uses the m*m convolution kernel to perform convolution processing on the three channels R, G, and B to obtain the accumulated value of each channel after the convolution.

The first accumulation module 23 is configured to determine at least one information point with the largest or smallest value in the convolution information of the first channel as at least one positioning point, where the convolution information of the first channel is in the multiple The accumulation and information in the convolution information of each channel is the largest. For example, the convolution information includes accumulated value information. The user equipment constructs an m*m convolution kernel to perform convolution processing on the three channels of R, G, and B, obtains the accumulated value of each channel after convolution, and determines that the accumulated value is the largest Is the first channel, and the user equipment uses one or more points with the largest value in the multiple accumulated value information of the first channel as the positioning point.

The first recognition module 24 is configured to determine the recognition area in the two-dimensional code according to the at least one positioning point, and perform recognition processing on the recognition area. For example, the user equipment determines one or more positioning points of the two-dimensional code after scanning the picture, determines a scanning area according to the one or more positioning points, and obtains two-dimensional code information after scanning the two-dimensional code.

In some embodiments, the assignment of the information points in the other regions of the two-dimensional code except the positioning area in the first channel satisfies the first distance correlation; the assignment of the information points in the convolution kernel meets the Two distance correlation; the first distance correlation is adapted to the second distance correlation. For example, the information point includes a pixel point. In the two-dimensional code to be scanned, the first channel assignment for the pixel point in the area other than the positioning area is related to the distance from the pixel point to the positioning point. For example, the farther a pixel is from a positioning point, the smaller the first channel component of the point. For the convolution kernel constructed by the user equipment, the farther the value in the convolution kernel is from the center, the smaller the assignment.

In some embodiments, the second distance correlation includes any one of the following: the distance information between the center point of the convolution kernel and the information point in the convolution kernel is negatively correlated with the value of the information point The distance information between the center point of the convolution kernel and the information point in the convolution kernel is positively related to the assignment of the information point. For example, the user equipment constructs an m*m convolution kernel, the center value of the convolution kernel is fixed, and the assignment of other information points of the convolution except the center point is set to be inversely proportional to the distance of the information point from the center, or the user equipment constructs m*m convolution kernel, the central value of the convolution kernel is fixed, and the value of other information points in the convolution except the center point is set to be proportional to the distance of the information point from the center.

For example, the user holds the user device to scan the QR code. First, the picture with the QR code is obtained by taking a picture or scanning, and the Opencv split function is used to decompose the picture into R, G, and B channels. The user device Construct the m*m convolution kernel. Here, in order to be consistent with the positioning area in the two-dimensional code, a 3*3 convolution kernel can be used. The center value of the convolution kernel is 1, in other regions of the convolution kernel, the distance The farther the center is, the smaller the assigned value of the information point, or the user holds the user device to scan the QR code, first obtain the picture with the QR code by taking pictures or scanning, and use the Opencv split function to convert the picture It is decomposed into three channels of R, G, and B. The user equipment constructs an m*m convolution kernel. Here, in order to be consistent with the positioning area in the two-dimensional code, a 3*3 convolution kernel can be used. The center value of the convolution kernel is 1. In other regions of the convolution kernel, the farther away from the center, the larger the assignment of the information point where it is located.

In some embodiments, the second distance correlation includes distance information between the center point of the convolution kernel and the information point in the convolution kernel, which is negatively correlated with the value of the information point; the first accumulation module 23. It is used to determine at least one information point with the largest value in the convolution information of the first channel as the at least one positioning point, where the convolution information of the first channel is convoluted in the multiple channels The accumulation and information in the information is the largest. For example, the user equipment constructs an m*m convolution kernel, and sets the value of other information points in the convolution kernel to be inversely proportional to the distance information between the center points of the convolution kernel. The convolution information Including the accumulated value information, the user equipment constructs an m*m convolution kernel to perform convolution processing on the three channels R, G, and B to obtain the accumulated value of each channel after convolution, and determines that the largest accumulated value is the first channel. The user The device uses one or more points with the largest value among the multiple accumulated value information of the first channel as the anchor point.

In some embodiments, the second distance correlation includes distance information between the center point of the convolution kernel and the information point in the convolution kernel, which is positively correlated with the value of the information point; the first accumulation module 23. It is used to determine at least one information point with the smallest value in the convolution information of the first channel as the at least one positioning point, where the convolution information of the first channel is convoluted in the multiple channels The accumulation and information in the information is the largest. For example, the user equipment constructs an m*m convolution kernel, and sets the assignment of information points other than the central point in the convolution kernel to be proportional to the distance information between the central points of the convolution kernel. The convolution information Including the accumulated value information, the user equipment constructs an m*m convolution kernel to perform convolution processing on the three channels R, G, and B to obtain the accumulated value of each channel after convolution, and determines that the largest accumulated value is the first channel. The user The device uses one or more points with the smallest value among the multiple accumulated value information of the first channel as the positioning point.

For example, if the user holds the user device to scan the QR code, he first obtains the picture with the QR code by taking a picture or scanning, and uses the Opencv split function to decompose the picture into three channels: R, G, and B. The user device Construct an m*m convolution kernel. Here, in order to be consistent with the positioning area in the two-dimensional code, a 3*3 convolution kernel can be used. The center value of the convolution kernel is 0, and the other values are set to 1. For R and G And B channels, the user equipment uses the 3*3 convolution kernel to perform convolution processing to obtain the accumulated values of the R, G, and B channels. For example, in the QR code, the R channel at the center The assignment value is 1, the assignment values of the G and B channels are respectively 0, the assignment value of the R channel of the pixels other than the center is 1, and the assignment values of the G and B channels are arbitrary values, respectively. The user equipment adopts 3*3 convolution kernels to perform convolution processing to obtain values of R, G, and B channels as 8, 0, and 0, respectively. In turn, convolve the three channels R, G, and B in other regions, get the values of the three channels R, G, and B as 9, 0, 0, and so on, and get the three channels R, G, and B in other regions. The value is 10, 0, 0, and then the user equipment will accumulate the values obtained in the three channels of R, G, and B to determine that the accumulated value of the R channel is the largest, determine that R is the first channel, and from the value of the R channel The three center points with the smallest calculated value are selected as the positioning points of the QR code.

FIG. 7 shows a user equipment for generating positioning points according to an embodiment of the present application. The user equipment includes a large unit or module capable of performing various steps in the method shown in FIG. 3, and these units or modules may be implemented by hardware or software. Or it can be implemented by a combination of software and hardware, which is not limited in this application. Among them, in FIG. 7, the content corresponding to the method shown in FIG. 3 can be referred to the detailed introduction in FIG. 3. Specifically, the device includes a second determination module 31 and a second basis module 32. The second determining module 31 is used to determine a plurality of positioning points in the graphic code to be generated, wherein the graphic code includes a positioning area; the second according to the module 32 is used to determine at least one of the plurality of positioning points Multi-channel assignment of information points in the positioning area where the positioning point is located, and multi-channel assignment of information points in areas other than the positioning area in the graphic code, wherein the multi-channel assignment includes the assignment of the first channel , The assignment of the information points in the other areas in the first channel satisfies the first distance correlation.

Specifically, the second determining module 31 is configured to determine a plurality of positioning points in the graphic code to be generated, wherein the graphic code includes a positioning area. For example, the user equipment determines that all three anchor points in the graphic code to be generated are non-visible anchor points, or the user equipment determines that there are two non-visible anchor points in the three anchor points in the graphic code to be generated in this solution .

The second according to module 32 is used to determine the multi-channel assignment of the information point in the positioning area where at least one of the plurality of positioning points is located, and the information point in the area other than the positioning area in the graphic code Multi-channel assignment, wherein the multi-channel assignment includes the assignment of the first channel, and the assignment of the information points in the other areas in the first channel satisfies the first distance correlation. For example, the user equipment selects one of the three positioning points of the graphic code, and sets a multi-channel assignment on the positioning point in the positioning area where the positioning point is located, where the multi-channel assignment includes component assignment of the three channels of RGB , The user equipment selects any of the three RGB channels as the first channel. If the R channel is selected as the first channel, then it is necessary to determine the components of the R, G, and B channels of the pixel where the positioning point is located. value. The user equipment determines the values of the components of the three channels R, G, and B in the area other than the positioning area in the code, where the pixels in the areas other than the positioning area are in the first channel The value of the component satisfies the first distance correlation, where the first distance correlation includes that the distance between the pixel point and the positioning point in other regions is correlated with the value of the pixel component in the first channel.

FIG. 8 shows a user equipment for identifying a positioning point according to an embodiment of the present application. The user equipment includes a large unit or module that can perform various steps in the method shown in FIG. 4. These units or modules can be implemented by hardware, The software or the combination of software and hardware is used for implementation, and this application is not limited. Among them, in FIG. 8, the content corresponding to the method shown in FIG. 4 can be referred to the detailed introduction in FIG. 4. Specifically, the device includes a second extraction module 41, a second acquisition module 42, a second accumulation module 43, and a second recognition module 44. The second extraction module 41 is used to extract multiple channel information corresponding to the graphic code from the graphic code to be recognized; the second obtaining module 42 is used to check the multiple channels using the convolution corresponding to the graphic code The information is subjected to convolution processing to obtain corresponding multiple channel convolution information, the multiple channel convolution information includes the first channel convolution information, wherein the convolution kernel is relative to the positioning area in the graphics code Adapt; the second accumulation module 43 is used to determine at least one information point with the largest or smallest value in the convolution information of the first channel as at least one positioning point, wherein the convolution information of the first channel is in The cumulative sum information among the convolution information of the plurality of channels is the largest; the second recognition module 44 is configured to determine the recognition area in the graphic code according to the at least one positioning point, and perform recognition processing on the recognition area.

The second extraction module 41 is configured to extract multiple channel information corresponding to the graphic code from the graphic code to be recognized. For example, the user equipment captures or scans the picture information where the graphic code is located, and decomposes the picture into R, G, and B channels. For example, you can use Opencv to extract three channels of an image.

The second obtaining module 42 is configured to perform convolution processing on the plurality of channel information by using the convolution kernel corresponding to the graphic code to obtain corresponding multiple channel convolution information, the multiple channel convolution information includes The first channel of convolution information, wherein the convolution kernel is adapted to the positioning area in the graphic code. For example, corresponding to the code of the size of the m*m area, the user equipment constructs an m*m convolution kernel. The center value of the convolution kernel is 1, and the smaller the value from the center of the convolution kernel, the farther away. The user equipment uses the m*m convolution kernel to perform convolution processing on the three channels R, G, and B to obtain the accumulated value of each channel after the convolution.

The second accumulation module 43 is configured to determine at least one information point with the largest or smallest value in the convolution information of the first channel as at least one positioning point, where the convolution information of the first channel is in the multiple The accumulation and information in the convolution information of each channel is the largest. For example, the convolution information includes accumulated value information. The user equipment constructs an m*m convolution kernel to perform convolution processing on the three channels of R, G, and B, obtains the accumulated value of each channel after convolution, and determines that the accumulated value is the largest Is the first channel, and the user equipment uses one or more points with the largest value in the multiple accumulated value information of the first channel as the positioning point.

The second recognition module 44 is configured to determine the recognition area in the graphic code according to the at least one anchor point, and perform recognition processing on the recognition area. For example, the user equipment determines one or more positioning points of the code after scanning the picture, determines a scanning area according to the one or more positioning points, and obtains code information after scanning the code.

For example, the user holds the user device to perform the scan code operation. First, the picture with the code is obtained by taking pictures or scanning, and the Opencv split function is used to decompose the picture into R, G, and B channels. The user device constructs m*m Convolution kernel, in order to be consistent with the positioning area in the code, a 3*3 convolution kernel can be used. The center value of the convolution kernel is 1, and the other values are set to 0. For the three channels of R, G, and B, The user equipment uses the 3*3 convolution kernel to perform convolution processing to obtain the accumulated values of the R, G, and B channels. For example, in the code, the R channel at the center is assigned the value of 119, G, and B channels. The values of are respectively 0, the values of R channels of pixels other than the center are 0, and the values of G and B channels are arbitrary values. The user equipment adopts a 3*3 convolution kernel to perform convolution processing to obtain the values of R, G, and B channels as 119, 0, and 0, respectively. In turn, convolve the three channels R, G, and B in other regions, and obtain the values of the three channels R, G, and B as 109, 0, 0, and so on, and obtain the three channels of R, G, and B in other regions. The value is 109, 0, 0, and then the user equipment will accumulate the values obtained in the three channels of R, G, and B to determine that the accumulated value of the R channel is the largest, determine that R is the first channel, and from the value of the R channel The three center points with the highest calculated value are selected as the anchor points of the code.

9 shows an exemplary system that can be used to implement various embodiments described in this application;

As shown in FIG. 9, in some embodiments, the system 300 can be used as a user equipment for generating and identifying a two-dimensional code in any of the embodiments. In some embodiments, system 300 may include one or more computer-readable media with instructions (eg, system memory or NVM/storage device 320) and coupled with the one or more computer-readable media and configured to execute One or more processors (eg, processor(s) 305) that instruct to implement the modules to perform the actions described in this application.

For one embodiment, the system control module 310 may include any suitable interface controller to provide at least one of the processor(s) 305 and/or any suitable device or component in communication with the system control module 310 Any suitable interface.

The system control module 310 may include a memory controller module 330 to provide an interface to the system memory 315. The memory controller module 330 may be a hardware module, a software module, and/or a firmware module.

The system memory 315 may be used, for example, to load and store data and/or instructions for the system 300. For one embodiment, the system memory 315 may include any suitable volatile memory, for example, a suitable DRAM. In some embodiments, the system memory 315 may include double data rate type four synchronous dynamic random access memory (DDR4 SDRAM).

For one embodiment, the system control module 310 may include one or more input/output (I/O) controllers to provide an interface to the NVM/storage device 320 and the communication interface(s) 325.

For example, NVM/storage device 320 may be used to store data and/or instructions. The NVM/storage device 320 may include any suitable non-volatile memory (eg, flash memory) and/or may include any suitable non-volatile storage device(s) (eg, one or more hard disk drives) HDD), one or more compact disc (CD) drives and/or one or more digital versatile disc (DVD) drives).

The NVM/storage device 320 may include storage resources that are physically part of the device on which the system 300 is installed, or it may be accessed by the device without having to be part of the device. For example, the NVM/storage device 320 can be accessed via the communication interface(s) 325 through the network.

The communication interface(s) 325 may provide an interface for the system 300 to communicate through one or more networks and/or with any other suitable devices. The system 300 can wirelessly communicate with one or more components of the wireless network according to any of the one or more wireless network standards and/or protocols.

For one embodiment, at least one of the processor(s) 305 may be packaged with the logic of one or more controllers (eg, memory controller module 330) of the system control module 310. For one embodiment, at least one of the processor(s) 305 may be packaged with the logic of one or more controllers of the system control module 310 to form a system-in-package (SiP). For one embodiment, at least one of the processor(s) 305 may be integrated with the logic of one or more controllers of the system control module 310 on the same mold. For one embodiment, at least one of the processor(s) 305 may be integrated with the logic of one or more controllers of the system control module 310 on the same mold to form a system on chip (SoC).

In various embodiments, the system 300 may be, but not limited to, a server, workstation, desktop computing device, or mobile computing device (eg, laptop computing device, handheld computing device, tablet computer, netbook, etc.). In various embodiments, the system 300 may have more or fewer components and/or different architectures. For example, in some embodiments, the system 300 includes one or more cameras, keyboards, liquid crystal display (LCD) screens (including touch screen displays), non-volatile memory ports, multiple antennas, graphics chips, application specific integrated circuits ( ASIC) and speakers.

The present application also provides a computer-readable storage medium that stores computer code, and when the computer code is executed, the method according to any one of the preceding items is executed.

The present application also provides a computer program product. When the computer program product is executed by a computer device, the method according to any one of the preceding items is executed.

This application also provides a computer device, the computer device includes:

One or more processors;

Memory, used to store one or more computer programs;

When the one or more computer programs are executed by the one or more processors, the one or more processors are caused to implement the method according to any one of the preceding items.

It should be noted that the present application may be implemented in software and/or a combination of software and hardware, for example, it may be implemented using an application specific integrated circuit (ASIC), a general purpose computer, or any other similar hardware device. In one embodiment, the software program of the present application may be executed by a processor to implement the steps or functions described above. Likewise, the software programs of the present application (including related data structures) can be stored in computer-readable recording media, such as RAM memory, magnetic or optical drives or floppy disks, and similar devices. In addition, some steps or functions of the present application may be implemented by hardware, for example, as a circuit that cooperates with a processor to perform various steps or functions.

In addition, a part of the application may be applied as a computer program product, for example, computer program instructions, and when it is executed by a computer, the method and/or technical solution according to the application may be invoked or provided through the operation of the computer. Those skilled in the art should understand that the computer program instructions exist in a computer-readable medium including but not limited to source files, executable files, installation package files, etc. Correspondingly, the manner in which the computer program instructions are executed by the computer includes but not Limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installation program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium accessible to the computer.

Communication media includes media whereby communication signals containing, for example, computer-readable instructions, data structures, program modules, or other data are transmitted from one system to another. Communication media may include guided transmission media (such as cables and wires (eg, fiber optics, coaxial, etc.)) and wireless (non-guided transmission) media that can propagate energy waves, such as sound, electromagnetic, RF, microwave, and infrared . Computer readable instructions, data structures, program modules, or other data may be embodied as a modulated data signal in, for example, a wireless medium such as a carrier wave or a similar mechanism such as is embodied as part of spread spectrum technology. The term "modulated data signal" refers to a signal that has one or more of its characteristics changed or set in such a manner as to encode information in the signal. The modulation can be analog, digital or mixed modulation techniques.

By way of example, and not limitation, computer-readable storage media may include volatile and non-volatile, removable, and non-volatile, implementable by any method or technology for storing information such as computer-readable instructions, data structures, program modules, or other data. Removable and non-removable media. For example, computer-readable storage media include, but are not limited to, volatile memory, such as random access memory (RAM, DRAM, SRAM); and non-volatile memory, such as flash memory, various read-only memories (ROM, PROM, EPROM) , EEPROM), magnetic and ferromagnetic/ferroelectric memory (MRAM, FeRAM); and magnetic and optical storage devices (hard disks, magnetic tapes, CDs, DVDs); or other currently known media or future development can be stored for computer systems Computer-readable information/data used.

Here, an embodiment according to the present application includes an apparatus including a memory for storing computer program instructions and a processor for executing program instructions, wherein, when the computer program instructions are executed by the processor, trigger The device operates based on the aforementioned method and/or technical solution according to various embodiments of the present application.

It is obvious to those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and that the present application can be implemented in other specific forms without departing from the spirit or basic characteristics of the present application. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-limiting, the scope of the present application is defined by the appended claims rather than the above description, and is therefore intended to fall within the claims All changes within the meaning and scope of the equivalent requirements of the are included in this application. Any reference signs in the claims should not be considered as limiting the claims involved. In addition, it is clear that the word "include" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices stated in the device claims can also be implemented by one unit or device through software or hardware. The first and second words are used to indicate names, but do not indicate any particular order.

Claims

A method for generating a two-dimensional code, characterized in that the method includes:

Determining multiple positioning points in the two-dimensional code to be generated, wherein the two-dimensional code to be generated includes a positioning area;

Determining the multi-channel assignment of information points in the positioning area where at least one of the plurality of positioning points is located, and the multi-channel assignment of information points in areas other than the positioning area in the two-dimensional code, wherein, The multi-channel assignment includes the assignment of the first channel, and the assignment of information points in the other areas in the first channel satisfies the first distance correlation;

The two-dimensional code is generated according to multi-channel assignment of information points in the two-dimensional code.
The method according to claim 1, wherein each information point in the positioning area has the same multi-channel assignment, or the difference between the multi-channel assignments of any two information points in the positioning area is less than or equal to the first An assignment difference threshold.
The method according to claim 1, wherein the information points in the positioning area are assigned the same value in different channels, or the information points in the positioning area are assigned in the first channel to the information point The difference between the assignments of the channels other than the first channel is less than or equal to the second assignment difference threshold.
The method according to any one of claims 1 to 3, wherein the first distance correlation includes any one of the following:

The assignment of the information point in the other area in the first channel is inversely related to the distance information between the information point and the at least one positioning point;

The assignment of the information point in the other area in the first channel is positively related to the distance information between the information point and the at least one positioning point.
The method according to any one of claims 1 to 4, wherein the information points in the other areas are assigned a value of zero in other channels than the first channel, or the information points in the other areas The value of the information point in other channels except the first channel is less than or equal to the third value threshold.
A method for identifying a two-dimensional code, characterized in that the method includes:

Extracting multiple channel information corresponding to the two-dimensional code from the two-dimensional code to be identified;

The convolution kernel corresponding to the two-dimensional code is used to convolve the multiple channel information to obtain corresponding multiple channel convolution information, and the multiple channel convolution information includes the first channel convolution information , Where the convolution kernel is adapted to the positioning area in the two-dimensional code;

At least one information point with the largest or smallest value in the convolution information of the first channel is determined as at least one positioning point, wherein the convolution information of the first channel is accumulated in the convolution information of the multiple channels And the most information;

The identification area in the two-dimensional code is determined according to the at least one positioning point, and an identification process is performed on the identification area.
The method according to claim 6, characterized in that the value of the information point in the area other than the positioning area in the two-dimensional code in the first channel satisfies the first distance correlation; the convolution The assignment of information points in the kernel satisfies the second distance correlation; the first distance correlation is adapted to the second distance correlation.
The method according to claim 7, wherein the second distance correlation includes any one of the following:

The distance information between the center point of the convolution kernel and the information point in the convolution kernel is inversely related to the assignment of the information point;

The distance information between the center point of the convolution kernel and the information point in the convolution kernel is positively related to the value of the information point.
The method according to claim 8, wherein the second distance correlation includes distance information between the center point of the convolution kernel and the information point in the convolution kernel, and the assignment of the information point Negative correlation

Wherein, the at least one information point with the largest or smallest value in the convolution information of the first channel is determined as at least one positioning point, wherein the convolution information of the first channel is convoluted in the multiple channels The accumulation and sum of information is the largest, including:

At least one information point having the largest value in the convolution information of the first channel is determined as the at least one positioning point, wherein the convolution information of the first channel is accumulated in the convolution information of the plurality of channels And information is the biggest.
The method according to claim 8 or 9, wherein the second distance correlation includes distance information between the center point of the convolution kernel and the information point in the convolution kernel, and the information point The assignment of is positively correlated;

Wherein, the at least one information point with the largest or smallest value in the convolution information of the first channel is determined as at least one positioning point, wherein the convolution information of the first channel is convoluted in the multiple channels The accumulation and sum of information is the largest, including:

At least one information point having the smallest value in the convolution information of the first channel is determined as the at least one positioning point, wherein the convolution information of the first channel is accumulated in the convolution information of the plurality of channels And information is the biggest.
A method for generating positioning points, characterized in that the method includes:

Determining multiple positioning points in the graphic code to be generated, wherein the graphic code includes a positioning area;

Determining the multi-channel assignment of information points in the positioning area where at least one of the plurality of positioning points is located, and the multi-channel assignment of information points in areas other than the positioning area in the graphic code, wherein The multi-channel assignment includes the assignment of the first channel, and the assignment of information points in the other areas in the first channel satisfies the first distance correlation.
A method for identifying anchor points, characterized in that the method includes:

Extracting multiple channel information corresponding to the graphic code from the graphic code to be recognized;

Using the convolution kernel corresponding to the graphics code to perform convolution processing on the plurality of channel information to obtain corresponding plurality of channel convolution information, the plurality of channel convolution information including the first channel convolution information, Wherein, the convolution kernel is adapted to the positioning area in the graphic code;

At least one information point with the largest or smallest value in the convolution information of the first channel is determined as at least one positioning point, wherein the convolution information of the first channel is accumulated in the convolution information of the multiple channels And the most information;

The identification area in the graphic code is determined according to the at least one anchor point, and an identification process is performed on the identification area.
A device for generating a two-dimensional code, wherein the device includes:

Processor; and

A memory arranged to store computer executable instructions which, when executed, causes the processor to perform the operations of the method according to any one of claims 1 to 5.
A device for identifying a two-dimensional code, wherein the device includes:

Processor; and

A memory arranged to store computer executable instructions which, when executed, causes the processor to perform the operations of the method according to any one of claims 6 to 10.
A device for generating positioning points, wherein the device includes:

Processor; and

A memory arranged to store computer-executable instructions which, when executed, causes the processor to perform the operations of the method of claim 11.
A device for identifying an anchor point, wherein the device includes:

Processor; and

A memory arranged to store computer-executable instructions which, when executed, causes the processor to perform the operations of the method of claim 12.
A computer-readable medium storing instructions which, when executed, causes a system to perform the operations of the method according to any one of claims 1 to 12.