Fold distortion QR code correcting method

Abstract

The invention relates to a fold distortion QR code correcting method. The method comprises three parts of two-dimensional code corner point detection, linear deformation correction and fold correction. If one pair of sides of a two-dimensional code pattern are not distorted and the other pair of sides are distorted, linear deformation effect caused by shooting angle and the like is eliminated to acquire a first corrected image, and then a shortest curve external connection method is used to carry out fold distortion correction on the first corrected image to acquire a second corrected image. On the basis of the second corrected image, a QR code is decoded and recognized. The step of fold distortion correction comprises edge contour extraction, edge contour interference electricity removing, edge contour multi-function fitting, fitting function screening, internal point mapping function selection, mapping transformation correction and the like. According to the invention, the detectionspeed and the recognition rate are greatly improved, and the fold distortion two-dimensional code is corrected and recognized.

Description

technical field [0001] The present invention relates to a method for correcting two-dimensional codes, in particular to a method for correcting wrinkle-distorted QR two-dimensional codes, which is suitable for when a pair of sides of the original square QR two-dimensional code pattern is wrinkled and distorted due to various reasons. Correct the QR code. Background technique [0002] With the rapid development of information technology, people's rapid input and processing of information is becoming more and more urgent. In recent years, with the successful promotion of two-dimensional codes in business, more and more people use two-dimensional codes, and the research on two-dimensional code technology has become more important. However, the widespread application of two-dimensional codes brings another problem in the recognition of two-dimensional codes. The two-dimensional codes will have different degrees of linear deformation and nonlinear wrinkles due to the shooting an...

AI Technical Summary

Problems solved by technology

Tian Ruigan et al. proposed an improved two-dimensional barcode image correction algorithm for the deformation of two-dimensional barcode images under different conditions, as well as the low accuracy, large amount of calculation and poor universality of existing algorithms. The algorithm includes image vertex positioning, Three parts of perspective transformation and grayscale interpolation

[0004] At present, the existing algorithms for linearly distorted two-dimensional codes use corner detection to find the four corner points of the two-dimensional code, and obtain the correction figure according to the reverse perspective transformation. There is no corresponding algorithm and software

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