基于尺度不变特征变换的车牌特征提取及BBF匹配方法（英文）

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英文篇名：License plate feature extraction and matching method with the SIFT and BBF algorithm 作者：杨娟 英文作者：Juan YANG;Chongqing Vocational Institute of Engineering; 关键词：车牌识别 ; SIFT算法 ; BBF算法 ; 特征提取 ; 特征匹配 英文关键词：License plate recognition;;SIFT algorithm;;BBF algorithm;;Features extraction;;Features matching 中文刊名：JCYY 英文刊名：Machine Tool & Hydraulics 机构：重庆工程职业技术学院; 出版日期：2019-03-28 出版单位：机床与液压 年：2019 期：v.47;No.480 基金：The Higher Education Teaching Reform Research Project of Chongqing Province in 2015,China(152072)~~ 语种：英文; 页：JCYY201906022 页数：7 CN：06 ISSN：44-1259/TH 分类号：132-137+154

摘要

针对传统车牌特征提取及匹配不足,提出了基于尺度不变特征变换(Scale-invariant feature transform,SIFT)的车牌特征提取及(Best Bin First,BBF)匹配方法。通过构建车牌字符标准模板,采用SIFT算法提取标准模板和待检测车牌中每个字符的SIFT特征向量,主要包括车牌高斯差分(Difference of Gauss,DoG)空间极值点检测,去除边缘相应点和低对比点,确定特征向量的方向和生成车牌特征向量。利用BBF(Best Bin First)算法完成标准模板特征向量与待检测车牌特征向量匹配,并获取识别结果。最后给出实验分析,证明该算法的识别率。
        In order to overcome the drawbacks for gaining and matching the features in traditional automatic license plate recognition algorithms,this paper put forward an approach for license plate recognition with the scaleinvariant feature transform( SIFT) algorithm. In this approach,it will build the license sample template and obtain the features vector of license sample template and license image,including license difference of gauss( DoG)scale-space extreme detection,license key point localization,license orientation assignment and license SIFT features vector descriptor. And then it will realize the license plate recognition for matching vector with best bin first( BBF) algorithm. Afterwards,the approach is used for the character recognition of the plates. The experimental results show that this algorithm has very good success rates.

引文

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