用手机拍摄的难以辨认的快照中的qr码重组

2007 International Conference on Computational Science and its Applications (ICCSA 2007) Pub Date : 2007-08-26 DOI:10.1109/ICCSA.2007.86

A. Sun, Yan Sun, Caixing Liu

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引用次数: 67

摘要

本文给出了一种对畸变二维码图像进行分析和校正的算法。该算法是基于二维条码的四角检测找到码区。我们将Canny边缘检测与轮廓查找算法相结合，以消除噪声并减少计算量，并利用两个切线近似右下角点。然后，我们详细描述了如何利用反透视变换从失真图像重建qr码图像。我们用手机拍摄的图像来测试我们的算法。实验表明，该算法是有效的。

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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The QR-code reorganization in illegible snapshots taken by mobile phones

In this paper, we give an algorithm for the analysis and correction of the distorted QR barcode (QR-code) image. The introduced algorithm is based on the code area finding by four corners detection for 2D barcode. We combine Canny edge detection with contours finding algorithms to erase noises and reduce computation and utilize two tangents to approximate the right-bottom point. Then, we give a detail description on how to use inverse perspective transformation in rebuilding a QR-code image from a distorted one. We test our algorithm on images taken by mobile phones. The experiment shows that our algorithm is effective.

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2007 International Conference on Computational Science and its Applications (ICCSA 2007)

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