首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于交叉覆盖神经网络的车牌识别研究
引用本文:段震,鲁杰,张铃.基于交叉覆盖神经网络的车牌识别研究[J].安徽大学学报(自然科学版),2004,28(5):11-14.
作者姓名:段震  鲁杰  张铃
作者单位:安徽大学,计算智能与信号处理教育部重点实验室,安徽,合肥,230039
基金项目:国家自然科学基金,安徽省教育厅自然科学基金
摘    要:汽车牌照的自动识别在智能交通系统中占有重要地位,应用前景广阔。本文基于交叉覆盖学习算法和附加样本技术,给出了一种车牌字符识别的方法,实验结果表明该方法能有效识别各种车牌中的字符,识别率高,具有较强的实用价值。

关 键 词:交叉覆盖算法  汽车牌照  字符识别
文章编号:1000-2162(2004)05-0011-04

The characters recognition of car plate based on alternative covering algorithm
DUAN Zhen,LU Jie,ZHANG Ling Ministry of Education,Anhui University,Hefei ,China.The characters recognition of car plate based on alternative covering algorithm[J].Journal of Anhui University(Natural Sciences),2004,28(5):11-14.
Authors:DUAN Zhen  LU Jie  ZHANG Ling Ministry of Education  Anhui University  Hefei  China
Institution:DUAN Zhen,LU Jie,ZHANG Ling Ministry of Education,Anhui University,Hefei 230039,China)
Abstract:Recognition of vehicle license plate plays a very important role in intelligence transportation system, It can be used in expansive application ranges and has a promising future. Based on alternative covering algorithm and additional sample technology, this article presents a method of characters recognition. The results of the experiments prove that this method can recognize characters of car plate effectively with a high recognition rate, so it have a practical usage.
Keywords:alternative covering algorithm  car plate  characters recognition
本文献已被 CNKI 维普 万方数据 等数据库收录!
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