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Data Matrix Code Location Based on Finder Pattern Detection and Bar Code Border Fitting

机译:基于Finder模式检测和条形码边框拟合的数据矩阵代码位置

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摘要

The 2-D bar code possesses large capacity of data, strong ability for error correction, and high safety, which boosts the 2-D bar code recognition technology being widely used and developed fast. This paper presents a novel algorithm for locating data matrix code based on finder pattern detection and bar code border fitting. The proposed method mainly involves three stages. It first extracts candidate regions that may contain a data matrix code by morphological processing and then locates the data matrix code roughly by detecting “L” finder pattern and the dashed border on the candidate regions. Finally, the lines fitted with the border points are used as the borders of data matrix code. A number of data matrix code images with complexity background are selected for evaluations. Experimental results show that the proposed algorithm exhibits better performance under complex background and other undesirable conditions.
机译:2-D条形码具有大量数据,纠错能力强,安全性高,增强了2-D条形码识别技术的广泛应用和开发。本文提出了一种基于查找器模式检测和条形码边界拟合定位数据矩阵码的新型算法。该方法主要涉及三个阶段。首先提取可以通过形态处理包含数据矩阵代码的候选区域,然后通过检测候选区域上的“L”查找器图案和虚线边界来定位数据矩阵代码。最后,使用边界点的线用作数据矩阵代码的边界。选择许多数据矩阵代码图像,其中包含复杂的背景进行评估。实验结果表明,该算法在复杂的背景和其他不良条件下表现出更好的性能。

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