摘要
传统的QR码识别算法只适用于打印在平面上的条码,提出了一种有效识别打印在饮料瓶等圆柱面上的QR码。通过对图像轮廓进行角点检测确定回字定位图形,在此基础上筛选条码关键轮廓并对其进行霍夫变换提取圆柱面上的透视椭圆信息,同时结合透视椭圆的参数和三维透视变换,有效构建了圆柱面条码像素从二维图像平面直接映射到三维图像空间的变换矩阵,重构打印在平面或圆柱面上的QR码目标。实验结果表明,该算法对平面或圆柱面QR条码的识别有较高的准确率。
Traditional QR code recognition algorithm is usually applied to the barcode printed on flat surface only. A low-cost approach to recognize the curved QR codes printed on bottles or cans is proposed in this paper. The width proportion and corners of image contours are extracted to confirm the positioning patterns and an efficient Hough transformation ellipse fitting method is employed to extract the elliptic information. In combination with the parameters of perspective ellipse and 3D perspec-tive transformation,the transformation matrix of barcode pixels on a cylindrical surface is constructed by direct mapping from the 2D image plane to 3D image space. The experiment result proves the algorithm has the high-accuracy recognition ability of barcodes no matter on the flat or the cylindrical surface.
出处
《现代电子技术》
2014年第8期15-18,共4页
Modern Electronics Technique
基金
福建省自然科学基金资助项目(2010H6026)
关键词
QR码提取
霍夫变换
圆柱面
三维透视变换
QR code extraction
Hough transform
cylindrical surface
3D perspective transformation
