基于字符中线的许可证倾斜校正算法

Dingding Yang, Hongbo Zhou, Liming Tang, Shiqiang Chen, Song Liu
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引用次数: 3

摘要

车牌智能识别系统必须能够校正图像中车牌的倾斜。针对现有倾斜校正方法的倾斜精度低、算法复杂、抗噪声能力弱的问题,提出了一种基于特征中线的倾斜校正算法。首先对车牌图像进行预处理,并采用投影方法对字符区域进行查找和分割,得到无边界的车牌。对于无边界车牌图像,我们固定x坐标,找到y坐标的最大值和最小值,并将它们放入矩阵中。下一步是获得y的最大值和最小值的平均值,获得车牌字符中线上的点集,并使用阈值去除奇异点。最后,使用最小二乘法拟合直线,并通过应用斜率和角度的公式来获得倾斜角。对于倾斜和损坏的车牌,实验表明,该算法简单,误差率低,对噪声和变形具有良好的鲁棒性。
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A License Plate Tilt Correction Algorithm Based on the Character Median Line Algorithme de correction d’inclinaison de plaque d’immatriculation basé sur la ligne médiane du caractère
License plates intelligent identification systems must be able to correct the tilt of a license plate in an image. Aiming at improving on the low tilt accuracy, complex algorithms, and weak robustness against noise of existing tilt correction methods, we proposed an algorithm based on the character median line. The license plate image is first preprocessed, and a projection method is applied to find and segment the character region, resulting in a license plate with no border. For the no border license plate image, we then fix x-coordinates, and find the maximum and minimum values of y-coordinates, and put them into a matrix. The next step is to obtain the mean value of the maximum and minimum values of y, obtain the point sets on the character median line of the license plate, and remove the singular points using a threshold. Finally, a straight line is fitted using the least-squares method, and the tilt angle is obtained by applying a formula for the slope and the angle. For a tilted and damaged license plate, experiments show that the proposed algorithm is simple, has a low error ratio, and has good robustness against noise and deformation.
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期刊介绍: The Canadian Journal of Electrical and Computer Engineering (ISSN-0840-8688), issued quarterly, has been publishing high-quality refereed scientific papers in all areas of electrical and computer engineering since 1976
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