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

基于图像特征的车牌字符分割方法研究
引用本文:邹永星,钱盛友,王润民.基于图像特征的车牌字符分割方法研究[J].湖南师范大学自然科学学报,2007,30(4):60-64.
作者姓名:邹永星  钱盛友  王润民
作者单位:1. 湖南师范大学物理与信息科学学院,中国,长沙,410081
2. 湖南科技大学信息与电气工程学院,中国,湘潭,411201
基金项目:湖南省自然科学基金资助项目(02JJY2059)
摘    要:根据车牌图像具有不同颜色和车牌字符中字母和数字具有连通性的特点,提出将灰度自适应二值化和基于神经网络的彩色图像二值化相结合.用这种方法对一系列定位后的各种车牌图像进行二值化,然后利用投影法和数学形态学对二值化后的车牌进行准确的字符分割.实验结果表明:该方法二值化效果好,字符分割准确率较高.

关 键 词:二值化  神经网络  数学形态学  字符分割
文章编号:1000-2537(2007)04-0060-05
收稿时间:2006-06-05
修稿时间:2006年6月5日

Study of Vehicle License Plate Character Segmentation Based on Image Features
ZOU Yong-xing,QIAN Sheng-you,WANG Run-min.Study of Vehicle License Plate Character Segmentation Based on Image Features[J].Journal of Natural Science of Hunan Normal University,2007,30(4):60-64.
Authors:ZOU Yong-xing  QIAN Sheng-you  WANG Run-min
Institution:1. College of Physics and Information Science, Hunan Normal University,Changsha 410081, China; 2. College of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China
Abstract:According to the color features and the connectivity of characters in the vehicle license plate images,it is presented that the gray adaptive binarization is combined with the colorful image binarization based on neural network in this paper.A series of vehicle license plate images are binarized with this method after location,and the characters of the vehicle license plates are segmented accurately using the projection and mathematical morphology.The experiment results show that a good effect of binarization and a higher precision of character segmentation can be obtained through this approach.
Keywords:binarization  neural network  mathematical morphology  character segmentation
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