Rectangular fixed dot matrix information encoding and decoding method

Abstract

The invention relates to a rectangular fixed dot matrix information encoding and decoding method. Based on a part coding rule of a Data Matrix code, a user self-defines a rectangular size of encoding according to information which needs to be stored; the information which needs to be stored is encoded in a form of being based on a bit and providing BCH error correction according to a specific sequence; and then the information is read by adopting an information decoding method corresponding to information encoding. Therefore, the rectangular fixed dot matrix information encoding and decoding method disclosed by the invention have the following advantages that 1, the encoding size can be self-defined, so that the redundancy of the information is effectively reduced; 2, in the encoding process, a small number of characteristic bits are used to the greatest extent, and the bit number of effective information capable of being encoded is increased; and 3, an encoded two-dimensional bar code has uniqueness and can be used for commodity anti-counterfeiting.

Description

technical field [0001] The invention belongs to the field of informatics, in particular to a method for encoding and decoding rectangular fixed lattice information. Background technique [0002] Since the appearance of one-dimensional bar code, it has been widely concerned by people, and its development speed is very rapid. But with the development of modern high-tech, in order to meet the needs of ever-changing information representation, it is urgently required to use barcodes to represent more information in a limited geometric space. Therefore, in order to solve the problems that the one-dimensional barcode cannot solve, the two-dimensional barcode came into being. It uses geometric patterns such as rectangles, dots, and hexagons to represent information. When encoding, several geometric shapes corresponding to binary are used to represent text and numerical information. When decoding, information is automatically read through image input or photoelectric scanning equip...

AI Technical Summary

Problems solved by technology

However, in the Data Matrix coding mechanism, on the one hand, because only a specific size can be selected for coding, the current minimum Data Matrix size is also a 10*10 rectangular area, which will cause a large amount of information bit redundancy when storing a small amount of information; on the other hand, There are too many feature bits required in the Data Matrix code, which occupy the information bits that can be encoded to a certain extent.

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