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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界拟合的数据矩阵码定位

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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:二维条形码具有数据容量大,纠错能力强,安全性高的特点,这促进了二维条形码识别技术的广泛应用和快速发展。本文提出了一种基于寻像器模式检测和条形码边界拟合的定位数据矩阵码的新算法。所提出的方法主要包括三个阶段。它首先通过形态学处理提取可能包含数据矩阵代码的候选区域,然后通过检测“ L”查找器图案和候选区域上的虚线边框粗略地定位数据矩阵代码。最后,将装有边界点的线用作数据矩阵代码的边界。选择许多具有复杂性背景的数据矩阵代码图像进行评估。实验结果表明,该算法在复杂背景和其他不利条件下表现出更好的性能。

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  • 来源
    《Mathematical Problems in Engineering》 |2012年第4期|p.515296.1-515296.13|共13页
  • 作者单位

    College of Computer Science and Software Engineering, Shenzhen University, Shenzlwn 518060, China;

    College of Computer Science and Software Engineering, Shenzhen University, Shenzlwn 518060, China,College of Mathematics and Computational Science, Shenzhen University, Shenzhen 518060, China;

    College of Computer Science and Software Engineering, Shenzhen University, Shenzlwn 518060, China;

    College of Computer Science and Software Engineering, Shenzhen University, Shenzlwn 518060, China;

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