QR Code Image Correction based on Corner Detection and Convex Hull Algorithm
QR Code Image Correction based on Corner Detection and Convex Hull Algorithm
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DOI：
10.4304/jmm.8.6.662-668
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发表时间：
2013-01
期刊：
影响因子：
--
通讯作者：
Suran Kong
中科院分区：
文献类型：
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作者：
Suran Kong
由于相机拍摄二维码图像时产生的角度偏差会导致二维码图像的几何失真，传统的二维码图像校正算法会产生失真。为此，本文提出了角点检测与凸壳算法相结合的算法。首先，利用局部阈值和数学形态学的方法对采集到的光照不均匀的二维码图像进行二值化。然后，根据本文提出的算法，找出二维码的轮廓及其上的点，并用透视共线方法恢复失真图像。最后，对本文提出的算法进行了实验验证，该算法能够正确地找到二维码的四个顶点，取得了良好的几何校正效果。它还将显著提高严重失真的二维码图像的识别率
Since the angular deviation produced when shooting a QR code image by a camera would cause geometric distortion of the QR code image, the traditional algorithm of QR code image correction would produce distortion. Therefore this paper puts forward the algorithm which combines corner detection with convex hull algorithm. Firstly, binaryzation of the collected QR code image with uneven light is obtained by the methods of local threshold and mathematical morphology. Next, the outline of the QR code and the dots on it are found and the distorted image is recovered by perspective collineation, according to the algorithm raised by this paper. Finally, experimental verification is made that the algorithm raised by this paper can correctly find the four apexes of QR code and achieves good effects of geometric correction. It will also significantly increase the recognition rate of seriously distorted QR code images