QR two-dimensional code adaptive binarization processing method and device based on light balance

Abstract

The invention provides a QR two-dimensional code self-adaptation binarization processing method and device based on light balance. The method mainly comprises the steps that image information of a QR two-dimensional code is collected, and the image information of the QR two-dimensional code is transformed into a gray level image; light balance processing is conducted on the gray level image of the QR two-dimensional code according to an illumination detection result; each row of pixel points in the gray level image after light balance processing is conducted are grouped according to an image gray level jumping threshold value, and the binarization threshold value of the gray levels of the pixel points of each group of each row is determined according to the maximum between-cluster variance method, and binarization processing is conducted on the gray levels of the pixel points in each group of each row according to the binarization threshold value. According to the QR two-dimensional code self-adaptation binarization processing method and device based on light balance, pre-recognition is conducted on the gray level distribution of the QR two-dimensional image, light balance processing is conducted on the QR two-dimensional image, the binarization threshold value is determined through the maximum between-cluster variance method, redundant calculations can be avoided, the binarization efficiency of the QR two-dimensional code is improved, and meanwhile the recognition accuracy of the QR two-dimensional code is ensured.

Description

technical field [0001] The invention relates to the technical field of two-dimensional code images, in particular to a method and device for adaptive binarization of QR two-dimensional codes based on light balance. Background technique [0002] QR codes are more and more widely used in the Internet of Things because of their advantages of large amount of information, rich categories, and offline readability. QR codes are used in everything from item information display to commodity circulation and recycling. However, because the two-dimensional code is usually exposed to the external environment, and is often printed or printed on different materials, the difference in the light of the external environment has greatly interfered with the recognition of the two-dimensional code image. Accurate recognition of QR code images is crucial in this situation. [0003] At present, methods for binarizing QR (Quick Response) two-dimensional codes are mainly divided into two categories...

AI Technical Summary

Problems solved by technology

[0004] The disadvantages of the above globalization and localization methods for QR (Quick Response) two-dimensional code binarization are: if the QR two-dimensional code has a large amount of information, the image size is large, and the light is too dark or the light is too dark. In the case of overexposure, the above globalization and localization methods will greatly reduce the efficiency and speed of image recognition

Overexposure of light will lead to loss of information. Insufficient light will cause the gray value difference between the foreground color and the background color to become smaller, resulting in inaccurate binarization. Compensating the background light will increase the contrast of the place where the original gray level is relatively concentrated.

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