WO2020034103A1

WO2020034103A1 - One-dimensional code recognition method, terminal and device, and device having storage function

Info

Publication number: WO2020034103A1
Application number: PCT/CN2018/100516
Authority: WO
Inventors: 韩琨; 阳光
Original assignee: 深圳配天智能技术研究院有限公司
Priority date: 2018-08-14
Filing date: 2018-08-14
Publication date: 2020-02-20
Also published as: CN111801675A

Abstract

A one-dimensional code recognition method, a one-dimensional code recognition terminal, a one-dimensional code recognition device, and a device having a storage function. The method comprises: acquiring the total number of bars and spaces in a one-dimensional code (102); determining whether the total number of bars and spaces is greater than a preset value (103); and if the total number of bars and spaces is greater than the preset value: selecting the bars and spaces of the one-dimensional code according to a preset method so as to reduce the total number of bars and spaces of the one-dimensional code, wherein the selected bars and spaces are used to decode the one-dimensional code (104). In this way, the method can optimize the selection of bars and spaces of a one-dimensional code, exclude bars and spaces with a lower similarity to reduce the amount of input needed to decode the one-dimensional code, and improve the accuracy and speed of one-dimensional code recognition, thereby realizing high-efficient decoding of different one-dimensional codes.

Description

One-dimensional code recognition method, terminal, device and device with storage function

[Technical Field]

The present application relates to the technical field of one-dimensional codes, and in particular, to a one-dimensional code identification method, terminal, device, and device having a storage function.

【Background technique】

A one-dimensional code is a mark composed of a set of regularly arranged bars, spaces, and corresponding characters. "Bar" refers to the part with low reflectivity to light, generally black vertical lines, and "empty" refers to the part with high reflectivity to light, generally white vertical lines. The combination of bars and spaces expresses certain information, which can be expressed by Device-specific reading and conversion into computer-compatible binary and decimal information. Each different type of one-dimensional code has its own characteristics. For example, some one-dimensional codes support an indefinite number of characters, some one-dimensional code modules combine a lot of character encoding patterns, and some one-dimensional codes support only two types. Width, some support four widths etc.

There are currently two types of image-based one-dimensional code recognition methods: one is for fixed-length one-dimensional codes with fewer coding patterns (or templates), which can reach higher levels in the case of blurring, noise, etc. The method is robust to one-dimensional codes with fixed length and fewer coding patterns, and cannot be applied to complex variable-length one-dimensional codes or many coding patterns. Another type of method performs binarization or edge extraction on all one-dimensional codes, and distinguishes between bars and spaces based on the binarization result or the extracted edge, and recognizes on this basis, but this method has poor robustness. High image quality requirements.

It can be seen that there is an urgent need for a method that can efficiently decode different one-dimensional codes.

[Summary of the Invention]

The technical problem mainly solved by this application is to provide a one-dimensional code recognition method, terminal and device capable of efficiently decoding different one-dimensional codes.

In order to solve the above-mentioned main technical problems, a technical solution provided in the present application is to provide a method for identifying a one-dimensional code, including: locating the one-dimensional code; obtaining a total number of bars and spaces in the one-dimensional code; and judging Whether the total number of bars and spaces is greater than a preset value; if the total number of bars and spaces is greater than a preset value: the bars and spaces of the one-dimensional code are selected according to a preset method to reduce The total number of bars and spaces of the one-dimensional code, the selected bars and spaces are used to decode the one-dimensional code; and the one-dimensional code is decoded according to the selected bars and spaces.

In order to solve the above-mentioned main technical problem, another technical solution provided in the present application is to provide a one-dimensional code identification terminal, including: an image collector and a processor; the image collector is used to collect the one-dimensional code image, and The received one-dimensional code image is sent to the processor; the processor is coupled to the image collector, and the processor executes the following steps when executing the program: positioning the one-dimensional code according to the one-dimensional code image; obtaining the total number of bars and spaces in the one-dimensional code Number; determine whether the total number of bars and spaces is greater than the preset value; if the total number of bars and spaces is greater than the preset value: select the bars and spaces of the one-dimensional code according to a preset method to reduce The total number of bars and spaces of the one-dimensional code. The selected bars and spaces are used to decode the one-dimensional code; then the one-dimensional code is decoded according to the selected bars and spaces.

In order to solve the above-mentioned main technical problem, another technical solution provided in the present application is to provide a device with a storage function, which stores program data, and the program data can be executed to implement the steps in the one-dimensional code identification method.

The beneficial effects of the present application are: Different from the situation of the prior art, the one-dimensional code identification technical solution provided by the present application can optimize the selection of the one-dimensional code and the space, and reduce the input of one-dimensional code decoding, thereby reducing Noise and interference with one-dimensional code input, decoding according to the selected bars and spaces, can increase the efficiency and robustness of decoding, and improve the accuracy and speed of one-dimensional code recognition, and achieve efficient implementation of different one-dimensional codes decoding.

[Brief Description of the Drawings]

FIG. 1 is a schematic flowchart of an embodiment of a one-dimensional code identification method of the present application;

Figure 2 is an example of a one-dimensional code;

3 is a schematic structural diagram of an embodiment of a one-dimensional code identification terminal of the present application;

4 is a schematic structural diagram of an embodiment of a one-dimensional code identification device of the present application;

5 is a schematic structural diagram of an implementation manner of an optimization unit in FIG. 4 of the present application;

6 is a schematic structural diagram of another embodiment of an optimization unit in FIG. 4 of the present application;

7 is a schematic structural diagram of another embodiment of a one-dimensional code identification device of the present application;

FIG. 8 is a schematic structural diagram of an embodiment of a type determination subunit in FIG. 7 of the present application; FIG.

FIG. 9 is a schematic structural diagram of an embodiment of a device with a storage function of the present application.

【detailed description】

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all of the embodiments. Based on the implementations in this application, all other implementations obtained by a person of ordinary skill in the art without creative labor shall fall within the protection scope of this application.

Referring to FIG. 1, FIG. 1 is a schematic flowchart of an embodiment of a one-dimensional code identification method of the present application. The one-dimensional code identification method of this embodiment includes the following steps:

Step S101: locate a one-dimensional code.

Referring to FIG. 2, FIG. 2 is an exemplary diagram of a one-dimensional code. In general, the order of the composition of a complete one-dimensional code is: front dead zone 201, start character 202, data character 203, check character 204, terminator 205, and back dead zone 206.

Specifically, the quiet zone refers to a blank area with the same reflectance as the empty outside of the left and right ends of the one-dimensional code, which can make the one-dimensional code reader enter a state ready for reading. When two one-dimensional codes are closer to each other, The white space is helpful to distinguish them. The width of the white space should usually be no less than 6mm or 10 times the module width.

The basic unit that constitutes a one-dimensional code is a module. A module refers to the narrowest bar or space in a one-dimensional code. The width of a module is usually in mm or mil (thousandths of an inch). A bar or space that constitutes a one-dimensional code is called a unit. The number of modules included in a unit is determined by the encoding method. In some code systems, such as the EAN code, all units are composed of one or more modules. System, such as 39 yards, all units have only two widths, that is, wide units and narrow units, where the narrow unit is a module.

Start / stop characters refer to a number of blanks at the beginning and end of a one-dimensional code, marking the beginning and end of a one-dimensional code, and providing identification information and reading direction information of the code system.

A data character is a bar and empty structure located in the middle of a one-dimensional code. It contains specific information expressed by a one-dimensional code. Check character, usually the last unit in a data symbol, is used to verify the correctness of the value or parity expressed by the data symbol. Some one-dimensional codes may not contain check characters.

In a specific implementation scenario, an image of a one-dimensional code is acquired by an image collector, such as a scanner or a camera device, and then the one-dimensional code in the image is located, that is, the position of the one-dimensional code in the image is identified. Ignore non-one-dimensional codes. One-dimensional codes in the image can be located using, for example, gradient-based methods or morphological-based methods. Other general positioning methods for images can also be used, which is not limited here. In other implementation scenarios, a one-dimensional code quality evaluation system may be added before positioning the effective area of the one-dimensional code. Positioning recognition is not performed on one-dimensional code images that do not meet the criteria such as the set evaluation threshold or set conditions. In order to further eliminate the error situation and improve the accuracy.

Step S102: Acquire the total number of bars and spaces in the one-dimensional code.

Positioning the one-dimensional code can separate the one-dimensional code from the collected image to further identify and analyze the one-dimensional code. Because of the different colors, different gray levels, and regular shapes of bars and spaces, the bars and spaces of one-dimensional codes can be identified using grayscale recognition or other image feature recognition methods, and the number of identified bars and empty ones can be obtained. Number and the total number of bars and spaces.

Step S103: Determine whether the total number of bars and spaces is greater than a preset value.

The preset value can be set according to actual needs, or the type of the one-dimensional code can be determined before step S103, and the corresponding preset value is selected according to the type. For example, if it is determined that the obtained one-dimensional code is EAN-13- Dimension code, the preset value can be the total number of bars and spaces of the standard EAN-13 one-dimensional code. For example, if it is determined that the obtained one-dimensional code is the EAN-128 one-dimensional code, the preset value can be the standard EAN- Total number of bars and spaces of 128 one-dimensional codes.

Step S104: if the total number of bars and spaces is greater than a preset value, selecting the bars and spaces of the one-dimensional code according to a preset method to reduce the total number of bars and spaces of the one-dimensional code, The selected bars and spaces are used to decode the one-dimensional code.

The bar and space of the one-dimensional code is selected according to a preset method, that is, the selection of the bar and space of the one-dimensional code is optimized. Specifically, the bar and space of the one-dimensional code is optimized. The selection may include: classifying the bars and spaces according to the width of the bars and spaces; matching the similarity of the bars and spaces of each category with the reference bars and reference spaces of the same category respectively; selecting the similarity After matching, the bars with similarity greater than or equal to the first preset threshold, and blanks with similarity greater than or equal to the second preset threshold. The widths of the bars and spaces of different types of one-dimensional codes are usually different. You can pre-classify the bars and spaces of existing standard one-dimensional codes to obtain different categories. Empty as the reference bar and reference space, and then classify the current one-dimensional code bar and empty reference pre-classified category according to the current one-dimensional code bar and empty width, and then classify the current one-dimensional code bar with the same category of reference The similarity matching is performed on the bars, and the similarity matching of the current one-dimensional code space and the reference space of the same category is similarly performed. Optimized results.

In another embodiment, selecting the bars and spaces of the one-dimensional code according to a preset method, that is, optimizing the selection of bars and spaces of the one-dimensional code, may include: The one-dimensional code is similarly matched with the combination of bars and spaces corresponding to the reference character, and the combination of bars and spaces in the one-dimensional code is a combination of consecutively arranged bars and spaces; choose a similarity greater than or A combination of bars and spaces equal to a third preset threshold. Generally, in the compilation of one-dimensional codes, different combinations of continuous bars and spaces represent a character, that is, a character corresponds to a combination of a group of bars and spaces. According to the existing standard one-dimensional code, the The character is used as a reference character. The reference character corresponds to a group of bar and space combinations, that is, the reference combination. Then, the continuous bar and space combination in the current one-dimensional code is matched with the reference combination corresponding to the reference character to select the similarity. The combination of three preset threshold bars and spaces is used as the optimization result.

In a specific implementation scenario, before optimizing the selection of the bar and the space, it may further include: determining the type of the one-dimensional code; and then determining the type and width of the reference bar and the reference space according to the type of the one-dimensional code, or The type of code determines the reference character. This can reduce the number of similarity matches, improve the recognition efficiency of one-dimensional codes, and reduce misrecognition.

Different types of one-dimensional codes have different types of characteristics, such as the length of one-dimensional codes, the start code of one-dimensional codes, the types of bars and spaces supported by one-dimensional codes, and so on. In a specific implementation scenario, determining the type of the one-dimensional code includes: determining whether the one-dimensional code is a fixed-length one-dimensional code; if the one-dimensional code is a fixed-length one-dimensional code, obtaining the length of the one-dimensional code, and determining a one-dimensional code according to the length. The type of the one-dimensional code; if the one-dimensional code is a variable-length one-dimensional code, the start code and the width of the one-dimensional code are obtained, and the type of the one-dimensional code is determined according to the start code and the width.

In a specific implementation scenario, determining whether the one-dimensional code is a fixed-length one-dimensional code includes: obtaining a code system of the one-dimensional code, and determining whether the one-dimensional code is a fixed-length one-dimensional code according to the code system. Or when the number of targeted one-dimensional codes is limited, it can also be determined whether the one-dimensional code is a fixed-length one-dimensional code according to the length of the one-dimensional code. If the length of the one-dimensional code is the same as the length of a fixed-length one-dimensional code The same, it can be determined that the one-dimensional code is a fixed-length one-dimensional code.

The values of the first preset threshold, the second preset threshold, and the third preset threshold may be set according to actual conditions, and are not limited herein. The optimized bar and space width are used as input for decoding and recognition of the one-dimensional code to decode the one-dimensional code, thereby improving decoding efficiency.

Step S105: Decode the one-dimensional code according to the selected bar and space.

The selected bar and space are used as the input for the one-dimensional code decoding. In combination with the positioning of the one-dimensional code, the bar and space gray information can be used to identify the bar code instead of binarizing the one-dimensional code or the information after edge extraction. , Thereby improving the robustness of barcode recognition, especially in the case of blurred images, noise and lighting effects. Decoding the one-dimensional code according to the bar and empty gray information can use existing related technologies.

The beneficial effect of this embodiment is: different from the situation of the prior art, a method for identifying a one-dimensional code provided by this embodiment optimizes the selection of bars and spaces of the one-dimensional code, and reduces the number of decoded one-dimensional codes. Input, which can reduce the noise and interference with the one-dimensional code input, and decode according to the selected bar and space, which can increase the efficiency and robustness of decoding, and achieve different one-dimensional codes without being limited by the one-dimensional code type Code for efficient decoding.

In order to achieve efficient decoding of one-dimensional codes with different features, the present application also provides a one-dimensional code identification terminal.

In a specific implementation scenario, please refer to FIG. 3, which is a schematic structural diagram of an embodiment of a one-dimensional code identification terminal of the present application. The one-dimensional code recognition terminal 30 includes an image collector 31 and a processor 32. The processor 32 is coupled to the image collector 31. The image collector 31 is configured to collect a one-dimensional code image and send the collected one-dimensional code image to the processor 32. The processor 32 executes the one-dimensional code recognition method described above according to the acquired image when executing the program.

In an embodiment, the processor 32 executes the following steps when executing the program: positioning the one-dimensional code according to the image; obtaining the total number of bars and spaces in the one-dimensional code; judging whether the total number of bars and spaces is greater than a preset value ; If the total number of bars and spaces is greater than the preset value, select the bars and spaces of the one-dimensional code according to the preset method to reduce the total number of bars and spaces of the one-dimensional code, and the selected bars and spaces Used to decode one-dimensional code; decode one-dimensional code according to the selected bar and space. The image of the one-dimensional code is taken by the image collector 31, and then the one-dimensional code in the image is located, that is, the position of the one-dimensional code in the image is identified, and the non-one-dimensional code is ignored. Positioning the one-dimensional code can separate the one-dimensional code from the collected image to further identify and analyze the one-dimensional code.

In an embodiment, the processor 32 is specifically configured to execute the step of selecting the bars and spaces of the one-dimensional code according to a preset method: classify the bars and spaces according to the width of the bars and spaces; Each category of bars and spaces is similarly matched with reference bars and reference spaces of the same category, respectively; bars with similarity greater than or equal to the first preset threshold after similarity matching are selected, and similarity greater than or equal to the second preset The threshold is empty.

In an embodiment, the processor 32 is specifically configured to execute the step of selecting the bars and spaces of the one-dimensional code according to a preset method: corresponding to the combination of the bars and spaces in the one-dimensional code with the reference character The similarity matching is performed for the combination of bars and spaces. The combination of bars and spaces in the one-dimensional code is a combination of consecutively arranged bars and spaces; a combination of bars and spaces with similarity greater than or equal to a third preset threshold is selected.

In an embodiment, the processor 32 is further configured to execute before selecting the bars and spaces of the one-dimensional code according to a preset method: determining the type of the one-dimensional code; and determining the reference bar according to the type of the one-dimensional code. And the width of the reference space, or the reference character is determined according to the type of the one-dimensional code.

In an embodiment, the processor 32 is specifically configured to perform the steps of determining the type of the one-dimensional code: determining whether the one-dimensional code is a fixed-length one-dimensional code; if the one-dimensional code is a fixed-length one-dimensional code, Obtain the length of the one-dimensional code and determine the type of the one-dimensional code according to the length; if the one-dimensional code is a variable-length one-dimensional code, obtain the start code and the width of the one-dimensional code, and determine it according to the start code and width The type of one-dimensional code.

In an embodiment, the processor 32 is specifically configured to perform the steps of determining whether the one-dimensional code is a fixed-length one-dimensional code: obtaining a code system of the one-dimensional code; and determining whether the one-dimensional code is fixed according to the code system. One-dimensional code.

In an embodiment, the identification terminal further includes a memory. The memory is coupled to the processor 32, and the memory stores data processed by the processor 32.

In order to achieve efficient decoding of one-dimensional codes with different features, the present application also provides a one-dimensional code recognition device.

In a specific implementation scenario, please refer to FIG. 4, which is a schematic structural diagram of an embodiment of a one-dimensional code identification device of the present application. The identification device 40 includes: a positioning unit 41 for positioning a one-dimensional code; and an obtaining unit 42 for obtaining a signal connection with the positioning unit 41 for obtaining a total number of bars and spaces in the one-dimensional code according to the located one-dimensional code. The judging unit 43 is connected to the acquiring unit 42 for receiving the total number of bars and spaces obtained by the acquiring unit 42 and judging whether the total number of bars and spaces is greater than a preset value; the optimizing unit 44 The optimization unit 44 is signal-connected to the judgment unit 43. If the judgment unit 43 determines that the total number of bars and spaces is greater than a preset value, the optimization unit 44 selects the bars and spaces of the one-dimensional code according to a preset method to The total number of bars and spaces of the one-dimensional code is reduced, and the selected bars and spaces are used to decode the one-dimensional code; the decoding unit 45, the decoding unit 45 and the optimization unit 44 are signally connected, and are used according to the bars selected by the optimization unit 44. And empty decoding one-dimensional code.

In a specific implementation scenario, please refer to FIG. 5. FIG. 5 is a schematic structural diagram of an embodiment of an optimization unit in FIG. 4 of the present application. The optimization unit 44 includes a classification subunit 51 for classifying the bars according to the widths of the bars and spaces. Classify with empty; match sub-unit 52, matching sub-unit 52 is signally connected with classification sub-unit 51, and is used to separate the bars and spaces of each class with reference bars and reference spaces of the same category according to the classification results of classification sub-unit 51 Perform similarity matching; the first selection sub-unit 53, the first selection sub-unit 53 is signal-connected to the matching sub-unit 52, and is used to select the similarity after the similarity matching is greater than or equal to the first prediction according to the matching result of the matching sub-unit 52. Threshold bars and spaces with similarity greater than or equal to the second preset threshold.

In a specific implementation scenario, please refer to FIG. 6, which is a schematic structural diagram of another embodiment of an optimization unit in FIG. 4 of the present application. The optimization unit 44 includes a combination matching sub-unit 61 for matching the similarity between the combination of bars and spaces in the one-dimensional code and the combination of bars and spaces corresponding to the reference character, and the combination of the bars and spaces in the one-dimensional code is arranged continuously. The combination of the bar and the empty; the second selection sub-unit 62, the second selection sub-unit 62 is signally connected to the combination matching sub-unit 61, and is used to select a similarity greater than or equal to the third prediction according to the matching result of the combination matching sub-unit 61. A combination of threshold bars and spaces.

In a specific implementation scenario, please refer to FIG. 7, which is a schematic structural diagram of another embodiment of a one-dimensional code identification device of the present application. The identification device 40 further includes a determination unit 86, and the determination unit 86 is signal-connected to the determination unit 43 and the optimization unit 44. The determination unit 86 includes: a type determination subunit 861 for determining the type of the one-dimensional code; a reference quantity determination subunit 862, It is used to determine the width of the reference bar and the reference space according to the type of the one-dimensional code, or determine the reference character according to the type of the one-dimensional code.

In a specific implementation scenario, please refer to FIG. 8, which is a schematic structural diagram of an embodiment of a type determination subunit in FIG. 7 of the present application. The type determination subunit 861 further includes: a fixed-length determination module 72 for determining whether the one-dimensional code is a fixed-length one-dimensional code; and a first determination module 76 for obtaining a one-dimensional code if the one-dimensional code is a fixed-length one-dimensional code. The length of the code determines the type of the one-dimensional code according to the length. The second determining module 74 is configured to obtain the start code and the width of the one-dimensional code if the one-dimensional code is a variable-length one-dimensional code. The start code and width determine the type of one-dimensional code.

In a specific implementation scenario, please refer to FIG. 8, which is a schematic structural diagram of an embodiment of a type determination subunit in FIG. 7. The fixed-length judgment module 72 further includes: a code system acquisition sub-module 77 for acquiring the code system of the one-dimensional code; a judgment sub-module 73, the judgment sub-module 73 is signally connected to the code system acquisition sub-module 77, and the judgment sub-module 73 is used for Determine whether the one-dimensional code is a fixed-length one-dimensional code according to the code system acquired by the code system acquisition sub-module 77.

In order to achieve efficient decoding of one-dimensional codes with different features, the present application provides a device with a storage function to implement the above-mentioned one-dimensional code identification method. In a specific implementation scenario, please refer to FIG. 9, which is a schematic structural diagram of an embodiment of a device with a storage function of the present application. At least one program or instruction 901 is stored in the device 90 having a storage function, and the program or instruction 901 is used to execute any one of the foregoing one-dimensional code identification methods. In one embodiment, the device having a storage function may be a storage device in a mobile device.

In the several embodiments provided in this application, it should be understood that the disclosed methods and devices may be implemented in other ways. For example, the device implementations described above are only schematic. For example, the division of modules or units is only a logical function division. In actual implementation, there may be another division manner. For example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, which may be electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, which may be located in one place, or may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objective of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each of the units may exist separately physically, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of software functional unit.

When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially a part that contributes to the existing technology or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium. It includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to perform all or part of the steps of the methods in the embodiments of the present application. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random access Memory), magnetic disks or optical disks and other media that can store program codes .

The beneficial effect of this embodiment is that, different from the prior art, the one-dimensional code identification technical solution provided by this embodiment can optimize the bar and sum of the one-dimensional code by judging whether the total number of bars and spaces is greater than a preset value. The empty selection excludes one-dimensional codes with low similarity to reduce the total number of bars and spaces in the one-dimensional code, which can improve the accuracy and speed of one-dimensional code recognition, thereby achieving efficient decoding of different one-dimensional codes. .

The above is only an implementation of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made by using the description and drawings of the present application, or directly or indirectly applied to other related technologies The fields are equally included in the patent protection scope of this application.

Claims

A one-dimensional code identification method, comprising:

Positioning one-dimensional code;

Obtaining the total number of bars and spaces in the one-dimensional code;

Judging whether the total number of said bars and spaces is greater than a preset value;

If the total number of bars and spaces is greater than the preset value, selecting the bars and spaces of the one-dimensional code according to a preset method to reduce the total number of bars and spaces of the one-dimensional code , The selected bar and space are used to decode the one-dimensional code;

The one-dimensional code is decoded according to the selected bar and space.
The identification method according to claim 1, wherein the selecting the bars and spaces of the one-dimensional code according to a preset method comprises:

Classify the bars and spaces according to their widths;

Performing similarity matching on the bars and spaces of each category with reference bars and spaces of the same category, respectively;

The bars whose similarity is greater than or equal to the first preset threshold after the similarity matching are selected, and the blank whose similarity is greater than or equal to the second preset threshold are selected.
The identification method according to claim 1, wherein the selecting the bars and spaces of the one-dimensional code according to a preset method comprises: combining a combination of bars and spaces in the one-dimensional code with a reference character The similarity matching is performed on corresponding combinations of bars and spaces, and the combination of bars and spaces in the one-dimensional code is a combination of bars and spaces arranged continuously;

A combination of bars and spaces with a similarity greater than or equal to a third preset threshold is selected.
The identification method according to any one of claims 1-3, further comprising: before selecting the bars and spaces of the one-dimensional code according to a preset method:

Determining the type of the one-dimensional code;

The width of the reference bar and the reference space is determined according to the type of the one-dimensional code or the reference character is determined according to the type of the one-dimensional code.
The identification method according to claim 4, wherein the determining the type of the one-dimensional code comprises:

Determining whether the one-dimensional code is a fixed-length one-dimensional code;

If the one-dimensional code is a fixed-length one-dimensional code, obtaining the length of the one-dimensional code, and determining the type of the one-dimensional code according to the length;

If the one-dimensional code is a variable-length one-dimensional code, obtain a start code of the one-dimensional code and a width of the one-dimensional code, and determine a value of the one-dimensional code according to the start code and the width. Types of.
The identification method according to claim 5, wherein the determining whether the one-dimensional code is a fixed-length one-dimensional code comprises:

Obtaining a coding system of the one-dimensional code;

It is determined whether the one-dimensional code is a fixed-length one-dimensional code according to the coding system.
A one-dimensional code recognition terminal, comprising: an image collector and a processor;

The image collector is configured to collect an image of the one-dimensional code, and send the acquired image of the one-dimensional code to the processor;

The processor is coupled to the image collector, and the processor executes the following steps when executing a program:

Positioning the one-dimensional code according to the image;

Obtaining the total number of bars and spaces in the one-dimensional code;

Judging whether the total number of said bars and spaces is greater than a preset value;

If the total number of bars and spaces is greater than the preset value, selecting the bars and spaces of the one-dimensional code according to a preset method to reduce the total number of bars and spaces of the one-dimensional code , The selected bar and space are used to decode the one-dimensional code;

The one-dimensional code is decoded according to the selected bar and space.
The terminal according to claim 7, wherein the processor is specifically configured to execute when performing the step of selecting the bars and spaces of the one-dimensional code according to a preset method:

Classify the bars and spaces according to their widths;

Performing similarity matching on the bars and spaces of each category with reference bars and spaces of the same category, respectively;

The bars whose similarity is greater than or equal to the first preset threshold after the similarity matching are selected, and the blank whose similarity is greater than or equal to the second preset threshold are selected.
The terminal according to claim 7, wherein the processor is specifically configured to execute when performing the step of selecting the bars and spaces of the one-dimensional code according to a preset method:

Matching the similarity between the combination of bars and spaces in the one-dimensional code and the combination of bars and spaces corresponding to the reference character, and the combination of bars and spaces in the one-dimensional code is a combination of consecutively arranged bars and spaces;

A combination of bars and spaces with a similarity greater than or equal to a third preset threshold is selected.
The terminal according to any one of claims 7-9, wherein the processor is further configured to execute before selecting the bars and spaces of the one-dimensional code according to a preset method:

Determining the type of the one-dimensional code;

The width of the reference bar and the reference space is determined according to the type of the one-dimensional code, or the reference character is determined according to the type of the one-dimensional code.
The terminal according to claim 10, wherein the processor is specifically configured to execute when performing the step of determining the type of the one-dimensional code:

Determining whether the one-dimensional code is a fixed-length one-dimensional code;

If the one-dimensional code is a fixed-length one-dimensional code, obtaining the length of the one-dimensional code, and determining the type of the one-dimensional code according to the length;

If the one-dimensional code is a variable-length one-dimensional code, obtaining a start code of the one-dimensional code and a width of the one-dimensional code, and determining the Types of.
The terminal according to claim 10, wherein the processor is specifically configured to execute when performing the step of determining whether the one-dimensional code is a fixed-length one-dimensional code:

Obtaining a coding system of the one-dimensional code;

It is determined whether the one-dimensional code is a fixed-length one-dimensional code according to the coding system.
The terminal according to claim 7, wherein the identification terminal further comprises a memory, the memory is coupled to the processor, and the memory stores data processed by the processor.
A one-dimensional code identification device, comprising:

A positioning unit, configured to locate the one-dimensional code;

An acquisition unit, where the acquisition unit is signally connected to the positioning unit, and is configured to acquire the total number of bars and spaces in the one-dimensional code according to the located one-dimensional code;

A judging unit, which is connected to the acquiring unit in a signal, and is configured to receive the total number of the bars and spaces acquired by the acquiring unit, and determine whether the total number of the bars and spaces is greater than a preset value;

An optimization unit, which is connected to the determination unit by a signal, and is configured to, if the total number of determination bars and spaces of the determination unit is greater than the preset value, the optimization unit performs a preset method on the Selecting the bars and spaces of the one-dimensional code to reduce the total number of bars and spaces of the one-dimensional code, and the selected bars and spaces are used to decode the one-dimensional code;

A decoding unit, where the decoding unit is signally connected to the optimization unit, and is configured to decode the one-dimensional code according to the bar and space selected by the optimization unit.
The apparatus according to claim 14, wherein the optimization unit comprises:

A classification subunit, configured to classify the bars and spaces according to the width of the bars and spaces;

A matching subunit, the matching subunit being signal-connected to the classification subunit, and configured to perform, according to a classification result of the classification subunit, the bars and spaces of each class with reference bars and reference spaces of the same category, respectively Similarity matching

A first selection subunit, which is connected to the matching subunit in a signal, and is configured to select, based on the matching result of the matching subunit, a bar whose similarity after matching is greater than or equal to a first preset threshold, And a null with a similarity greater than or equal to a second preset threshold.
The device according to claim 14, wherein the optimization unit comprises:

A combination matching subunit for matching the similarity between the combination of bars and spaces in the one-dimensional code and the combination of bars and spaces corresponding to the reference character, and the combination of bars and spaces in the one-dimensional code is consecutively arranged bars And empty combination;

A second selection subunit, which is signally connected to the combination matching subunit, and is configured to select, according to the matching result of the combination matching subunit, a bar whose similarity is greater than or equal to a third preset threshold Empty combination.
The device according to any one of claims 14-16, wherein the device further comprises a determining unit, and the determining unit is signal-connected to the determining unit and the optimizing unit, and the determining unit includes:

A type determining subunit, configured to determine a type of the one-dimensional code;

The reference quantity determining subunit is configured to determine a width of a reference bar and a reference space according to the type of the one-dimensional code, or determine a reference character according to the type of the one-dimensional code.
The device according to any one of claims 17, wherein the type determining subunit further comprises:

A fixed-length judgment module, configured to determine whether the one-dimensional code is a fixed-length one-dimensional code;

A first determining module, configured to obtain a length of the one-dimensional code if the one-dimensional code is a fixed-length one-dimensional code, and determine a type of the one-dimensional code according to the length;

A second determining module, configured to obtain a start code of the one-dimensional code and a width of the one-dimensional code if the one-dimensional code is a variable-length one-dimensional code, and according to the start code and the width Determining the type of the one-dimensional code.
The apparatus according to claim 18, wherein the fixed-length determination module further comprises:

A code system acquisition submodule, configured to acquire a code system of the one-dimensional code;

A judging submodule that is signally connected to the code system acquisition submodule, and the judging submodule is configured to judge whether the one-dimensional code is fixed according to the code system acquired by the code system acquisition submodule One-dimensional code.
An apparatus having a storage function, characterized in that program data is stored, and the program data can be executed to implement the steps in the method according to any one of claims 1-6.