A License Plate Recognition Algorithm for Community Monitor

Lingxian Yang, Heping Chen, Wei Zhang
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引用次数: 2

Abstract

In this paper, a novel license plate recognition algorithm is presented based on Hausdorff distance direct to community vehicle monitoring. This method utilizes colour and edge characters, meanwhile, combines some conventional image preprocessing methods to get several region of interest. In order to recognize the license plate, a well-organized digital models is prepared in initialization, and the Hausdorff distance is computed to recognize the vehicle characters according the threshold be defined before. The resulting of algorithm, which shows some tolerant of small location errors occurring in edge detection and has good robustness and efficiency.
一种面向社区监控的车牌识别算法
本文提出了一种基于Hausdorff距离的车牌识别算法。该方法利用颜色特征和边缘特征,同时结合传统的图像预处理方法得到多个感兴趣区域。为了识别车牌,在初始化时准备好组织良好的数字模型,并根据之前定义的阈值计算豪斯多夫距离来识别车辆特征。结果表明,该算法对边缘检测中出现的小位置误差具有一定的容忍度,具有良好的鲁棒性和效率。
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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