One of the Image Correction Algorithms of QR Code and Its Implementation Based on Wavelet Transform
To improve the operation speed and accuracy of twodimensional barcodes image-correction, this paper proposed a QR code edge detection method based on wavelet transform. Firstly, we take advantage of the characteristics of multi-resolution analysis of wavelet transformation to denoise the QR code image. And then multi-level wavelet decomposition is done to the denoised image, from which we can obtain the wavelet coefficient at all levels. And finally, we refine the edge processing to get the target image. Tests result shows that the algorithm can not only obtain good edge detection effect, but also greatly simplify the calculation. Whats more, it can reduce the noise effectively.
QR Code Wavelet Transform Edge Detection Image Recognition
Chun Jin Jianghong Yuan Eryang Chen Leilei Li Gang Han Tao Tang
School of Communication and Information Engineering,Chongqing University of Posts and Telecommunicat School of Communication and Information Engineering,Chongqing University of Posts and Telecommunicat School of Automation Engineering,University of Electronic Science and Technology of China,611731,Che Chongqing Broadcasting & TV Group,400039,Chongqing, China Chongqing Guangtong Industry Co.,LTD,400039,Chongqing,China Jiangbei Power Supply Bureau of Chongqing Electric Power Company,401147,Chongqing,China
国际会议
北京
英文
93-98
2012-06-22(万方平台首次上网日期,不代表论文的发表时间)