Car license plate recognition through Hausdorff distance technique

Ratree Juntanasub, N. Sureerattanan
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引用次数: 34

Abstract

Many researches have been done on car license plate (CLP) recognition. However, these are no sufficient number of works on Thai CLP. The existing works on Thai CLP have been focused on localization, extraction, and partial recognition (only for upper line) of the license plate. Generally, Thai CLP has 2 lines (upper and lower). The upper line presents character category in 2-position formatted, following by running number (up to 4 digits). The lower line presents province name. Recognition of the lower line is a difficult task because Thai words can be composed of 4 levels (top level, above level, base line and below level). Hence, appearance of noises in the original image easily causes misrecognition. This paper presents an approach to recognize off-line entire Thai CLP using Hausdorff distance technique (HD) for similarity measurement. The recognition rate obtained by the proposed method is 92%
基于豪斯多夫距离技术的汽车车牌识别
汽车牌照识别技术已经得到了广泛的研究。然而,这些在泰国CLP上的作品数量还不够。泰国CLP的现有工作主要集中在车牌的定位、提取和部分识别(仅针对上一行)。一般泰国CLP有2条线(上、下)。上面一行以2位格式表示字符类别,后面是运行号(最多4位)。下面的线表示省份名称。识别下界是一项困难的任务,因为泰语可以由4个层次组成(顶层、上层、基线和下层)。因此,在原始图像中出现噪声很容易引起误认。本文提出了一种利用豪斯多夫距离技术(HD)进行相似性度量的离线全泰CLP识别方法。该方法的识别率为92%
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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