DataMatrix QR code rapid identification method and device, and electronic device

Abstract

The invention discloses a DataMatrix QR code rapid identification method and device, and an electronic device, relating to the technical field of image processing. The method includes taking the gravity center coordinate of the target image as the quadrant center, and dividing the target image into more than three area quadrants; in each area quadrant, using different edge detection operators to calculate only the gradient-increasing edge of the image boundary to the quadrant center to obtain the edge image; taking the quadrant center as the center of a polar coordinate system, and performingthe linear detection on the edge image to obtain four extreme points in the associated area at distances dL and dh from the quadrant center; and in the image area with the four extreme points as the boundary vertexes, generating the segmentation threshold based on the weight average gray value to perform the binary of the QR code data of the target image. According to the invention, the QR code identification accuracy and identification speed can be improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a fast identification technology of a DataMatrix type two-dimensional code in an image. Background technique [0002] DataMatrix code is a matrix two-dimensional barcode, its biggest feature is high density, and its minimum size is the smallest among all barcodes. Because Datamatrix provides extremely small and high-density labels, and can still store reasonable data content, it is especially suitable for small parts identification, commodity anti-counterfeiting, circuit identification, etc. [0003] The inventor found in the process of realizing the present invention that the DataMartix-type two-dimensional code is characterized by large information capacity. Compared with the common QR code, because it does not have a fast image-finding area, its recognition speed and recognition accuracy are greatly affected. . At present, the traditional DataMartix-type two-dimensi...

AI Technical Summary

Problems solved by technology

The reasons for the high misrecognition rate and low efficiency of the traditional two-dimensional code recognition method are: (1) The traditional binarization method will corrode a large number of code elements of the same color surrounding different color code elements, and even cause the loss of code element data. The recognition has a great impact; (2) Using the traditional edge detection algorithm to obtain edge points, there is a large amount of noise data, which is not conducive to edge detection; (3) The traditional Hough transform method has a large number of redundant calculations in the accumulator calculation, which is inefficient

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