QR Code detection using parallel lines

Gabriel Klimek, Z. Vámossy
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引用次数: 12

Abstract

Several basic techniques are known for QR Code detection in digital images. This paper presents an approach that utilizes a special line parameterization, along with a variant of the Hough-transform, called PClines. The premised parameterization uses a parallel coordinate system, which allows faster accumulation than the slope-intercept method used by the basic Hough-transform, due to simpler computation. The presented technique can be easily adapted to any kind of matrix code. Mathematical and algorithmic foundations of this approach are presented, along with an implementation on Microsoft's .NET framework. Test results are also presented, emphasizing the effect of different parameters on the overall detection rate. These results are then compared to other implementations using the same PClines technique.
QR码检测使用平行线
在数字图像中检测QR码有几种基本技术。本文提出了一种利用特殊线参数化的方法,以及霍夫变换的一种变体,称为plines。前提参数化使用一个平行坐标系,由于计算更简单,它允许比基本霍夫变换使用的斜率-截距方法更快的积累。所提出的技术可以很容易地适应于任何类型的矩阵代码。介绍了这种方法的数学和算法基础,以及在Microsoft . net框架上的实现。给出了测试结果,强调了不同参数对整体检出率的影响。然后将这些结果与使用相同PClines技术的其他实现进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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