Two-dimensional code partitioning decoding method and system

Abstract

The invention provides a two-dimensional code partitioning decoding method and system. The method comprises that a received two-dimensional code image is stored in an image data backup dwell vessel; binarization is carried on the received two-dimensional code image according to gray values of pixel points; the border line of the two-dimensional code image is searched according to a position detection figure; the two-dimensional code image is further searched form the version number and a correction figure; the two-dimensional code image is partitioned into areas according to the position detection figure and the correction figure, and the bit of each area is calculated; each area is divided into bit areas according to the deflection of the position detection figure and the deflection of the correction figure; the two-dimensional code image in the image data backup dwell vessel is obtained again; the average gray value of all the pixel points in the bit areas is calculated and serves as the gray value of the bit areas; and binarization is carried out on the area according to the gray value of each bit area, and a binary two-dimensional code image is obtained; and the binary two-dimensional code image is decoded. The system is accurate in partitioning and rapid and accurate in decoding.

Description

technical field [0001] The invention relates to the technical field of two-dimensional codes, in particular to a two-dimensional code block decoding method and system. Background technique [0002] The two-dimensional code decoding algorithm based on image processing can be roughly divided into six steps: image acquisition, image preprocessing, positioning and correction, reading data, error correction, and decoding. The basic steps of image preprocessing are grayscale transformation, image filtering, threshold segmentation, edge detection, and binarization is included in threshold segmentation. After the obtained grayscale image is subjected to enhancement algorithms such as contrast adaptation and brightness adjustment, the binarization algorithm is used to realize the segmentation of the background and the target object in the image, and the image is converted into an image with only black and white colors for decoding. [0003] However, due to the different media attach...

AI Technical Summary

Problems solved by technology

When performing binarization processing on the code image, by performing a block operation on the code image, whether the pixel in each block area is judged to be black or white in the process of restoring the code image is considered. The average gray value of the predetermined range of the block area where the point is located can eliminate the interference of the external environment, but the block of the two-dimensional code image only includes n*n block areas, where n>1, not according to the two-dimensional The function module of the code is divided into blocks, and the information in the function module of the two-dimensional code cannot be quickly and accurately decoded. After calculating the gray threshold value of each block area, the pixels in the block area are binary Value to decode the two-dimensional code image, one pixel is not equal to one two-dimensional code image data bit, the process of decoding the two-dimensional code through pixel binarization is more complicated

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