摘要
以QR矩阵码为例,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 approach for Recognition of Two-dimensional Bar Code based on Fourier transform is proposed.Firstly, location
and segment arithmetic of image is discussed and a image of a single row of 2-D code is obtained.Secondly,noise caused by optic system is analyzied and a arithmetic used by compute the standard deviation of point spread function is reased.Finally, those invalied edge is droped adaptively by using the edge strength histogram.The experiment show that the arithmetic have excellent ability to drop nosie and have higher recognition rate of 2-D bar code.
出处
《微计算机信息》
2004年第4期72-73,共2页
Control & Automation
