有复杂背景的条码图像实时处理的研究

Research of Real-time Processing System for Bar Code Images

将图像分割技术应用于条码自动识别上,首先进行预处理,运用图像腐蚀的方法,使图像上的文字等复杂背景变成一些孤立点,再通过中值滤波器滤除这些孤立点。此时图像中条码的相对位置不变,用模板匹配的方法对图像进行区域查找,在原图像上可分割出条码区域。由于采用模板匹配的方法,存在计算量大的问题,而DSP的运算功能强,采用DSP实现图像处理,可以达到实时处理条码图像,实现条码图像的自动识别。

It deals with the application of image segmentation to the automatic identification of a bar code image with a complex background.At first,image erosion of the background such as characters is preprocessed,yielding isolated points,which are filtered by a median filter.The relative position of the bar code does not change.Then using template matching,the bar code region can be segmented.Template matching needs lots of calculations which are a shortage.But the DSP system has the very powerful function of computing,and can process images in real-time and recognize them automatically.