摘要
主要研究通过数字图像处理的方法识别ENA13条形码图像条码信息的问题。首先介绍了条码结构。然后针对传统方法的缺陷引入基于图像处理的识别方法,通过图像预处理、图像分割、图像矫正和译码4个步骤识别条形码。阐述了针对含有噪声点的模糊图像和输入角度随机两种情况的条码识别。最后通过给出相关实验结果验证了算法的可行性和实用性。
This paper studies the problem of bar code image information recognition of ENA13(bar) through the digital picture processing method.First the paper introduces bar code structure.Then,a recognition method based on picture processing is adapted to against defects and flaws of traditional with four steps:image pre-processing,image segmentation,image correction and decoding.Especially recognize images with noise and random angles.Finally,the feasibility of the algorithm is confirmed through relevant experimental results.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第26期177-179,共3页
Computer Engineering and Applications