QR条码图像识别及解码技术的实现

摘要

在Windows平台下,研究了QR条码的识别方法及解码技术.在识别过程中,利用Hough变换进行边缘检测,计算QR图像的角度旋转并纠正图像失真,然后进行细化边缘处理,有效地抑制QR图像中的失真及噪声.在此基础上,设计开发出一套QR码解码软件.测试结果表明,该系统具备较高的解码性能,识别率高、速度快,而且CPU占用率较低.%A new technique of recognizing and decoding on QR code and its realization are studied in Windows. During the process of QR code image recognizing, the position of QR code is located from the image according to Hough transform, and it' s rotated to the horizontal based on geometry calculation. And then,refines the edge processing to get the target image. It can low the distortion and the noise in the QR code image. What' s more,one QR code decoder is developed based on this algorithm. Tests show that,the system has higher performance in decoding QR code.with low CPU utility.