噪声码-39条码的自动识别

Xianyong Fang, Fuli Wu, B. Luo, Haifeng Zhao, Peng Wang
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引用次数: 8

摘要

条形码在现代社会得到了广泛的应用。提出了一种快速、鲁棒的噪声码39条码识别方法。该方法分为搜索和解码两个步骤。在第一步中,用均匀定义的扫描线找到图像中的所有星号,然后将方向相同的星号匹配在一起,得到一个有效的条形码区域。在第二步中,首先采用局部去噪方法消除条码区域的噪声,然后使用中带滤波器对条码进行解码。与以往的方法相比,该方法简单,实验结果表明,该方法可以有效地实现对噪声图像的快速识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Recognition of Noisy Code-39 Barcode
Barcode has been widely applied in the modern world. This paper presents a fast and robust recognition method of noisy code 39 barcode. The proposed method can be divided into two steps: search and decoding. In the first step, all asterisks in the image are found with evenly defined scan lines and then those with the same directions are matched together to get a valid barcode region. In the second step, a local denoise method is first applied to eliminate noise in the barcode region and then a middle band filter is used to decode the barcode. Our method is simple in comparison with former methods and experimental results show that it is efficient for fast barcode recognition on noisy images.
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