A low-complexity image pre-processing for Quick Response barcode decoder
Quick Response (QR) barcode is a quite common twodimensional barcode and image preprocessing is a key step for the automatic recognition by QR barcode decoder.In order to lower the consumed threshold,a practical image preprocessing method was proposed for QR barcode recognition.It could increase the speed of recognition by this decoder so as to embed this algorithm into mobile terminals.Instead of using the traditional methods such as edge detection and line detection,the encoding characteristic of QR had been used,thus the influence by background noise and geometric distortion was minimized.Moreover,it used alignment patterns to adaptive) sample the barcode in terms of regions,which greatly improved the recognition rate.Experimental results demonstrate that the proposed approach can overcome the influence in noise,inhomogeneous light and geometric distortion,what is more,it meets the requirement of decoding in real time.
2D barcode Quick Response image preprocessing localization binarization
Weibing Chen Guangcan Liu Gaobo Yang
Dept.of Electrics & Communication Engineering Changsha University Changsha Hunan,410003,P.R.China School of Computer & Communication Hunan University Changsha Hunan,410082,P.R.China
国际会议
太原
英文
281-285
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）