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浙江大学学报(工学版)
J4  2012, Vol. 46 Issue (12): 2155-2159    DOI: 10.3785/j.issn.1008-973X.2012.12.004
计算机技术﹑电信技术     
基于聚类分析的个性化美国车牌分割算法
李旭1, 徐舒畅2, 尤玉才3, 张三元3
1. 浙江警察学院 实验中心,浙江 杭州 310053; 2. 杭州师范大学 信息科学与工程学院, 浙江 杭州 310036;
3. 浙江大学 计算机科学与技术学院,浙江 杭州 310027
Segmentation method for personalized American car plate
based on clustering analysis
LI Xu1, XU Shu-chang2, YOU Yu-cai3, ZHANG San-yuan3
1. Experiment Center,  Zhejiang Police College, Hangzhou 310053, China;
2. College of Information Science and Engineering, Hangzhou Normal University, Hangzhou 310036, China;
3. College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China
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摘要：

针对美国车牌个性化严重,车牌上字符个数、字体、间距和背景等信息都不一致的情况,提出一种可处理复杂多变车牌的车牌分割算法.基于动态的字符分布信息计算车牌倾斜角度和垂直投影局部梯度,利用聚类方法去除非字符区域,并动态确定字符宽度,获得准确字符区域.基于局部梯度的循环分割得到准确的字符分割结果.为了验证该算法,基于1万多张美国车牌的数据集进行实验,结果表明：与已有算法相比,该算法对于具有字符个数不定、字符间距不一致、背景复杂等特征的个性化美国车牌的分割效果有较大提高,分割正确率提高了约5%.
Abstract:

A new segmentation algorithm was proposed to handle complex and variant American car license plate, which is very personalized and un-uniform in character number, font, spacing and background. Firstly, the tilt angle and vertical project local gradient were obtained based on the dynamic character distribution information. Then the character width was dynamically calculated and accurate character regions were obtained after applying cluster method to remove non-character regions. Finally, the characters were correctly separated by repeat segmentation based on local gradient. A database with more than 10 000 American plate images was used to verify the accuracy of the proposed algorithm. The experimental results show that compared to existing algorithms, the proposed algorithm can achieve well improved segmentation accuracy up to 5%.
出版日期: 2012-12-01
:  TP 391  
基金资助:

浙江省自然科学基金资助项目（Y1100557）; 广东省教育部产学研结合资助项目（2010B090400193,2011B090400546）.
作者简介: 李旭（1972—）,男,讲师,从事计算机应用、图像处理的研究.E-mial:lixu@zjjcxy.cn
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引用本文:

李旭, 徐舒畅, 尤玉才, 张三元. 基于聚类分析的个性化美国车牌分割算法[J]. J4, 2012, 46(12): 2155-2159.

LI Xu, XU Shu-chang, YOU Yu-cai, ZHANG San-yuan. Segmentation method for personalized American car plate
based on clustering analysis. J4, 2012, 46(12): 2155-2159.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2012.12.004    或    http://www.zjujournals.com/eng/CN/Y2012/V46/I12/2155


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