基于DM642的手机QR码检测与识别

摘要

基于市场上二维条码设备的广泛需求, 研究了基于DM642的QR码的检测与识别技术. 本文针对嵌入式智能设备获取的QR码(Quick Response Code, QR)图像严重倾斜与高度畸变问题, 提出了基于位置探测图形的轮廓嵌套特性与轮廓之间面积比例关系来实现QR码定位的算法, 接着以直线逼近的方法精确定位QR码的4个角点,然后运用逆透视变换与旋转校正的原理实现QR码的复原操作, 最后基于复原后的图像通过网格采样来获取整个二维码的"01"矩阵, 以便于后面的QR码解码. 最终将算法移植到DM642上运行, 能有效解决图像倾斜与畸变问题且解码效果良好.%According to the extensive demand of two-dimensional (2D) bar code devices on the market, we studied the QR-code detection and recognition technology based on mobile DM642. This study proposes an algorithm based on position detection patterns, which have the nesting feature between the contour and the connection of area ratio. It locates the QR-code in order to solve the problem of skew and distortion of the image in embedded intelligent devices. Then, it precisely positions the four angular point coordinates of the QR-code by the method of linear approximation, and the QR-code is reconstructed by the principle of inverse perspective transformation and rotation correction. Finally, it obtains the whole 2D code "01" matrix by the grid sampling based on the reconstructed image, which is convenient for the decoding of QR-code. We transplanted the algorithm to the DM642 to run. It can effectively solve the image inclination and distortion problems and decoding effect is normal.