A Robust Circular Two-Dimensional Barcode and Decoding Method

Abstract

With the popularity of two-dimensional (2D) bar-codes, many image correction algorithms for two-dimensional barcodes have been proposed. However, limited by the form of matrix barcodes, the effectiveness of these correction algorithms is limited. Besides, circular 2D barcodes such as ShotCode have better ability to resist image distortion. But, due to the small information capacity, the research on circular 2D barcodes in recent years is limited. Therefore, we propose a robust circular 2D barcode in this paper. By adopting colour-coding and a new decoding method, it can not only achieve the basic information capacity, but also effectively enhance the ability to resist image distortion. In addition, we propose two indicators (maximum distortion ratio and maximum support opening angle) to measure the image distortion of two-dimensional barcodes on geometric bodies. Experiments verify the superiority of the new circular two-dimensional barcode and its decoding method.