说明：  介绍一种实用的二维条码识别算法。首先探讨了二维条码的定位与分割算法,利用Hough变换与Sobel边缘检测把条码图像从原始采集的图像中有效地分割出来 然后分析了条码图像经过光学系统的噪声模型,提出了一种计算点扩展函数标准方差的算法 采用Flourier变换自适应地选取阈值去除噪声导致的无效边界,从而得到条码的基本模块。实验结果表明,该算法具有很好的抗噪性,提高了二维条码的识别率。
(A practical two-dimensional barcode recognition algorithms. First of all two-dimensional bar code of the positioning and segmentation algorithm using Hough Transform and Sobel edge detection of the bar code images collected from the original image to effectively separate and then analyzes the barcode image through the optical system of the noise model, put forward a Calculation of point spread function of standard deviation of the algorithm uses Flourier transform adaptively select the threshold to remove noise caused by invalid border, bar code and thus be the basic module. Experimental results show that the algorithm has good noise immunity, improved two-dimensional bar code recognition rate.)