A flexible method for recognizing four-digit numbers on a license-plate in a video scene

Kotaro Haneda, H. Hanaizumi
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引用次数: 10

Abstract

In order to realize a simple system for monitoring car movements, a flexible method was developed for recognizing four-digit numbers on a license-plate in a video scene. The method consisted of three parts; global search for finding a license plate in a scene, corner detection for removing shape deformation, and numeral character recognition. The spatial features and the spectral (color) ones were merged and processed at a time in the global search. The Hough transformation was adopted for selecting sides of the license-plate among various edges in the following corner detection. The corner points found as cross points of the neighboring sides were used for removing the shape deformation. The four-digit numbers were recognized by using a virtual pixel algorithm with centroid compensation. The global search achieved 97 % of correct detection rate for 100 sets of scenes. The corner detection achieved 65 % (39 of 65 scenes) of correct detection rate, so far. The four-digit numbers on the license-plates, whose corners were correctly detected, were recognized perfectly.
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在视频场景中识别车牌四位数的灵活方法
为了实现一个简单的汽车运动监控系统,开发了一种灵活的方法来识别视频场景中车牌上的四位数字。该方法由三部分组成;在场景中寻找车牌的全局搜索,消除形状变形的角检测,以及数字字符识别。在全局搜索中,将空间特征和光谱特征(颜色特征)同时合并处理。在接下来的角点检测中,采用霍夫变换从各种边缘中选择车牌的侧面。作为相邻边相交点的角点用于消除形状变形。采用带质心补偿的虚拟像素算法对四位数进行识别。对100组场景进行全局搜索,正确率达到97%。到目前为止,拐角检测的正确率达到65%(65个场景中的39个)。车牌号上的四位数的车角被准确地识别出来了。
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