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基于亚像素边缘检测的二维条码识别
引用本文:甘岚,刘宁钟.基于亚像素边缘检测的二维条码识别[J].计算机工程,2003,29(22):155-157.
作者姓名:甘岚  刘宁钟
作者单位:1. 华东交通大学信息学院,南昌,330013
2. 南京航空航天大学信息科学与技术学院,南京,210016
摘    要:提出了一种基于亚像素边缘检测的二维条码识别算法、能有效地解决边缘模糊对条码识别的影响。以PDF417条码为例研究了基于亚像素边缘检测的二维条码识别算法。首先定位条码位置并在条码中分割出单个码字符号图像。然后根据分割出来的单个码字符号图像讨论r基于亚像素边缘检测的识别算法。实验结果表明基于亚像素边缘检测的识别算法具有良好的性能,显著地提高了条码的识别率,满足了实际使用的要求。

关 键 词:二维条码  条码识别  亚像素边缘检测  PDF417
文章编号:1000-3428(2003)22-0155-03
修稿时间:2003年8月11日

Recognition of Two-dimension Barcode Based on Subpixel Detection
GAN Lan,LIU Ningzhong.Recognition of Two-dimension Barcode Based on Subpixel Detection[J].Computer Engineering,2003,29(22):155-157.
Authors:GAN Lan  LIU Ningzhong
Affiliation:GAN Lan1,LIU Ningzhong2
Abstract:A novel recognition algorithm based on subpixel detection is proposed in this paper. This novel algorithm can resolve the problem caused by the blurred edge. In the paper, PDF417 are used as an example to discuss the algorithm. First, the position of barcode is located from the image. Then the image is segmented to locate the single codeword image. At last, the algorithm based on subpixel detection is discussed as an important topic. The result shows that the performance of the novel algorithm based on subpixel detection is good. It can achieve higher recognition rate, which suffices to the requirement of the practical use.
Keywords:Two-dimension barcode  Barcode recognition  Subpixel  detection  PDF417  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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