A morphing QR two-dimensional code image filling enhancement recognition method

By detecting and replicating position detection patterns, combined with affine transformation and filtering algorithms, the problem of filling missing parts of QR codes on flexible materials was solved, significantly improving the recognition rate.

CN117172264BActive Publication Date: 2026-06-26CHONGQING UNIV OF POSTS & TELECOMM
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHONGQING UNIV OF POSTS & TELECOMM
Filing Date
2023-09-06
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

QR codes printed on flexible materials are prone to incomplete position detection patterns due to missing or folded corners, leading to recognition failures. Existing technologies struggle to effectively fill in the missing parts to improve the recognition rate.

Method used

By detecting deformed QR codes, the identifiable location is copied and filled into the unidentifiable location. The image is then corrected using an affine transformation matrix, and the MSRCR algorithm is combined with three-primary-color channel filtering and adaptive histogram equalization to enhance image quality.

Benefits of technology

The method effectively fills in missing location detection patterns, improving the image quality and recognition rate of QR codes and significantly increasing the success rate of recognition.

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Abstract

The present application belongs to the technical field of digital image processing, and particularly relates to a kind of morphing QR two-dimensional code image filling enhancement identification method;Including detecting morphing QR two-dimensional code, obtaining identifiable position detection pattern and unidentifiable position detection pattern;Copy identifiable position detection pattern and place in the filling position of unidentifiable position detection pattern, then determine three corner points;Calculate affine transformation matrix through corner point, correct morphing QR two-dimensional code using affine transformation matrix to obtain corrected two-dimensional code;Three primary color channels of corrected two-dimensional code are filtered using MSRCR algorithm, and filtered two-dimensional code image is obtained;Stretch filtered two-dimensional code image and carry out adaptive histogram equalization to obtain enhanced two-dimensional code, and the enhanced two-dimensional code is identified;The present application improves QR two-dimensional code recognition rate.
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