Two-dimensional code area detection positioning method and system

Abstract

The invention discloses a method and a system for detecting and positioning a two-dimensional code area. During positioning, a gray level image of a to-be-identified two-dimensional code is obtained;downsampling is carried out on the grayscale image; carrying out edge detection on the down-sampled image; and performing binarization processing on the image after edge detection, performing expansion and corrosion processing on the image after binarization to obtain a plurality of connected regions, performing two-dimensional code feature analysis on each connected region, screening out candidate regions of the two-dimensional code, and taking the region of the grayscale image corresponding to the obtained candidate regions as a to-be-decoded region. Through the steps of gray processing, downsampling, edge detection, binarization processing, expansion, corrosion, screening and the like on the image, a plurality of two-dimensional codes are detected and positioned from a complex graph with a plurality of two-dimensional codes, and the problems of two-dimensional code bull eye combination errors and low decoding success rate are avoided.

Description

technical field [0001] The invention relates to an image processing recognition module, in particular to a method and system for detecting and locating a two-dimensional code area. Background technique [0002] Two-dimensional codes are black and white graphics distributed in two dimensions according to certain rules. They are mainly divided into stacked and matrix two-dimensional codes. Due to their large information capacity, strong fault tolerance, and wide coding range, they have gradually replaced one-dimensional codes. QR code. At present, QR codes have been widely used in product anti-counterfeiting / traceability, mobile payment, warehouse management, e-commerce, product marketing and other fields. With the widespread and in-depth application of QR codes, there are more and more cases of multiple QR codes (referred to as "multiple codes in the same picture") in the same picture, especially in the fields of online media, poster marketing, and bank tax invoices. Howeve...

AI Technical Summary

Problems solved by technology

However, most of the existing two-dimensional code scanning and decoding needs to point the camera at the two-dimensional code area, and then use the two-dimensional code decoding algorithm to extract the data information from the collected two-dimensional code picture. This method will undoubtedly consume more time for the user, and the user experience is poor

And the existing method of detecting and decoding barcodes by looking for different types of two-dimensional code-specific image-finding graphics, for the situation of "multiple codes with the same picture", this method is prone to bull's-eye combination errors and redundant invalid bull-eye combinations In this situation, the efficiency of two-dimensional code decoding is low, and the success rate of decoding is low.

However, for low-quality "multi-code same image" images such as lack of image-finding graphics, complex backgrounds, and uneven lighting, the existing two-dimensional code decoding method has a low decoding success rate.

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