Research of Automatic Recognition Algorithm of Quick Response Code
The automatic recognition algorithm of Quick Response (QR) code is discussed in this paper. An image processing system, which captures images through a web-camera, and segments the images, locates and decodes the QR code, is described. In order to adapt various sizes of real barcode images under various lighting conditions, a high-speed, high-accuracy image segmentation method which integrates local thresholding with global thresholding is adopted, which can locate the finder pattern effectively. To amend the distortion of QR code in every image, we made use of the finder patterns and the square feature of QR code and proposed a new algorithm to obtain the boundary information called hollowing algorithm. Since the traditional Hough Transform is complicated and time-consuming, we propose a new Hough Transform called the Knownpoint Hough Transform to be used in the automatic recognition of QR code, which has been proven effective.
Ming Sun Longsheng Fu Shuhuai Zhang Shuqing Han
College of Information and Electrical Engineering China Agricultural University Beijing P.R. China 1 Faculty of Agriculture and Life Science Hirosaki University Hirosaki Japan 036-8561100083 College of Information and Electrical Engineering China Agricultural University Beijing P.R. China
国际会议
南宁
英文
2007-07-20（万方平台首次上网日期，不代表论文的发表时间）