###
DOI:
计算机系统应用英文版:2013,22(2):173-177,229
本文二维码信息
码上扫一扫!
字符二维条码图像的识读
(1.浙江工业大学 计算机科学与技术学院, 杭州 310023;2.浙江工商大学 计算机与信息工程学院, 杭州 310018)
Recognition of 2D Character Barcode Image
(1.College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, 310023, China;2.College of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, China)
摘要
图/表
参考文献
相似文献
本文已被:浏览 1770次   下载 2835
Received:July 05, 2012    Revised:September 10, 2012
中文摘要: 以字符二维条码为研究对象, 针对条码识读问题展开研究. 由于获取的条码图像往往存在对比度低造成的图像模糊问题, 采用了分段线性灰度变换的方法来增强图像, 在分段点的选择上根据字符条码图像灰度分布特点采用改进的二维OTSU法. 针对图像中出现的条纹噪声, 采用基于频域的ButterWorth带阻滤波器进行降噪处理, 最后采用计算圆形度值的方法来实现对字符区域的快速定位. 实验表明, 该识读方法能够很好的解决图像采集中出现的模糊以及噪声问题, 并且能够快速有效的定位出条码区域.
Abstract:This paper takes 2D character barcode as the research object, makes the recognition problems of 2D character barcode. Because of 2D barcode image having the image blurring problems, This paper enhances image with piecewise linear grey level transformation,and uses improved 2D OTSU method to compute the interval boundary points according to the gray level distribution. The ButterWorth band stop filter is made to deal with the stripe nose appeared in the 2D barcode image. At last use the round-degree method to locate 2D barcode region. Experiments show that, this approach has a good performance on solving the image blurring and noise problems, and it could locate the 2D barcode region quickly and effectively.
文章编号:     中图分类号:    文献标志码:
基金项目:浙江省科技厅资助项目(2010C31088)
引用文本:
何振芬,刘志,许超杰,冯晓斐.字符二维条码图像的识读.计算机系统应用,2013,22(2):173-177,229
HE Zhen-Fen,LIU Zhi,XU Chao-Jie,FENG Xiao-Fei.Recognition of 2D Character Barcode Image.COMPUTER SYSTEMS APPLICATIONS,2013,22(2):173-177,229