首页 | 本学科首页   官方微博 | 高级检索  
     

基于改进的K-means的车牌字符分割
引用本文:李金,宫宁生,张蕾. 基于改进的K-means的车牌字符分割[J]. 电视技术, 2015, 39(1): 136-138
作者姓名:李金  宫宁生  张蕾
作者单位:南京工业大学电子与信息工程学院,江苏南京,211816
基金项目:国家重点基础研究发展计划(973计划)
摘    要:提出了一种基于改进的K-means的车牌字符分割方法。该方法首先利用均值跳变法对车牌区域进行精确定位,再利用改进的K-means算法对车牌字符进行聚类,最后根据K-means算法得到的聚类中心对车牌字符进行分割。实验结果表明,该方法能够准确地分割出车牌字符,且具有较强的抗干扰性。

关 键 词:车牌字符分割  均值跳变  K-means
收稿时间:2014-04-11
修稿时间:2014-05-14

License Plate Character Segmentation Based on Improved K-means Algorithm
Li Jin,Gong Ningshen and ZhangLei. License Plate Character Segmentation Based on Improved K-means Algorithm[J]. Ideo Engineering, 2015, 39(1): 136-138
Authors:Li Jin  Gong Ningshen  ZhangLei
Affiliation:Nanjing University of Technology,Nanjing University of Technology,Nanjing University of Technology
Abstract:This paper proposes a character segmentation method of license plate based on improved K-means Algorithm. This method firstly uses the mean jump method to locate the license plate precisely. And then clustering the character of license plate by using improved K-means algorithm. Finally, according to the cluster center, which is acquired by K-means algorithm, segment the character of license plate. The experimental results show that this method can segment the character of license plate accurately, and has a strong anti-interference.
Keywords:License plate character segmentation mean jump K-means
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《电视技术》浏览原始摘要信息
点击此处可从《电视技术》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号