中文摘要：

QR条码具有小存储空间、大容量、容错能力强和译码可靠性高等优点，在流通和物流等领域被广泛应用。但是在实际识别时，由于受拍摄条码分辨率低等因素制约，存在识别困难的问题。论文提出一种基于超分辨率图像处理技术的低分辨率QR码识别方法，对手机等简易设备拍摄的低分辨率条码视频，采用最大似然算法对各帧图像进行非线性拟合，然后通过QR码的二值特性合成超分辨率条码图像，可以提高低分辨率条码视频的识别准确率。实验证明，该方法能解决传统方法不能识别的QR条码，使像素为55×55的低分辨率条码识别成功率达到85％以上，平均识别准确率提高10％。

英文摘要：

With the advantage of big storing capacity in small space, strong fault tolerance, high decoding reliability, the QR-code has a wide application in the areas of circulation and logistics. However, in the actual identification, due to the limitation of different factors, such as the low resolution of the barcode captured by camera, there are also many problems and difficulties with the identification work. A novel low resolution QR-code recognition method based on super-resolution image processing technology is presented in this paper. The simple equipment such as the mobile phone is used to shoot the barcode video with a lower resolution, through nonlinear fitting on each frame by a maximum likelihood algorithm. Then su- per-resolution barcode image is synthesized through the binary feature of QR-codes to improve the identification accuracy of the low resolution barcode video. The experiment shows that this method can recognize the QR-code which the traditional method couldn＇t and the accurate recognition rate in the low-resolution barcode for 55 × 55 pixels is above 85%. The average recognition accuracy is improved by 10%.