基于图像处理的手机二维码识别的研究

Research on QR Code Recognition with Mobile Phone Based on Image Processing

针对手机二维码在发生几何畸变、光照变化等复杂场景中的识别问题,提出基于边缘检测、中位值平均滤波、全局阈值二值化和双线性插值等的图像处理和识别过程。对采集到的图像进行预处理后,进行有效的旋转、校正和定位,并进行最后的译码。以QR码为例进行实验,结果表明该方法可以有效地识别复杂条件下的二维码图像。

In order to address the problem in QR code recognition with mobile phone under complicated scenarios,the edge detection, the way of median average filter, the global threshold binarization and bilinear interpolation were used in the process of image processing and recognition. After preprocessing the collected image,it was rotated,corrected,located and finally decoded. Experimental results with QR codes show that the proposed method is effective.