Method of encoding/decoding color QR code

Abstract

This invitation discloses a method of encoding / decoding a color QR (Quick Response) code. The method maintains the reliability and robustness of a standard black and white QR code, and employs a lossless compression algorithm to make the data capacity of a color QR code much larger than the data capacity of other colored two-dimensional code of a same kind. In addition, encoding colors are not required to be the most distant from each other in an RGB color space in order to enhance color resolution. A process of encoding / decoding a color QR code does not require color space transfer, i.e., color information loss can be avoided. Color QR cod decoding has no special requirements for ambient lighting, and does not need to utilize reference colors as a palette, thereby greatly reducing computational complexity, and obtaining 100% decoding accuracy.

Description

technical field [0001] The invention relates to a two-dimensional code, in particular to a coding / decoding method of a color QR code. Background technique [0002] The application of barcode technology has greatly improved the speed of data collection and information processing, and has become an important branch in the field of automatic identification. Commonly used domestic one-dimensional barcodes such as European Article Number (European Article Number, EAN), Universal Product Code (Universal Product Code, UPC), 39 codes, crossed 25 codes, etc. have the general limitations of low information density, small data capacity, and only It can represent information in one dimension, has no error correction capability, does not have encryption function, and is strictly dependent on database or networking. Due to the limitation of one-dimensional barcode capacity, it can no longer meet the growing production demand, so two-dimensional barcode came into being. Two-dimensional b...

AI Technical Summary

Problems solved by technology

Commonly used domestic one-dimensional barcodes such as European Article Number (European Article Number, EAN), Universal Product Code (Universal Product Code, UPC), 39 codes, crossed 25 codes, etc. have the general limitations of low information density, small data capacity, and only Can represent information in one dimension, has no error correction capability, does not have encryption function, strictly depends on database or networking, etc.

Due to the limitation of one-dimensional barcode capacity, it can no longer meet the growing production demand, so two-dimensional barcode came into being

Two-dimensional barcodes can represent more information in the horizontal and vertical dimensions within a limited geometric space, and have greatly improved in terms of coding range, information density, and error correction capabilities. However, as black and white two-dimensional barcodes The Quick Response Code (QR code) with the largest capacity, the version is 40, and the QR code whose error correction level is L can only store 7089 numbers or 4296 uppercase letters or 2953 ASCII characters or 1817 Chinese characters

[0005] 3. During the encoding / decoding process of color QR codes, the conversion of color space will lead to the loss of color information;

[0006] 4. It is necessary to use the reference color to deal with the color cast problem of the color QR code, and the calculation complexity is greatly increased;

[0007] 5. The decoding accuracy rate is not high

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