基于模板匹配的有复杂背景的条码图像区域分割

Segmentation of Bar Code Image with Complex Background Based on Template Matching

为从有复杂背景的条码图像中分割出条码区域,将图像分割技术应用于条码自动识别.首先对输入的有复杂背景的条码图像进行预处理,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,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;然后运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;最后调用读码软件读取条码值来判断条码区域的分割效果.

This paper 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 pre-processed, 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. As there is no universal methods and specifications in image segmentation,the bar code identification software is used to judge the segmenting effect.