[1]邓 泓,李水泉,彭莹琼.像素连接车牌定位技术的研究[J].江西师范大学学报(自然科学版),2017,(06):651-655.
 DENG Hong,LI Shuiquan,PENG Yingqiong.The Study on License Plate Location Technology by Pixel Connection[J].Journal of Jiangxi Normal University:Natural Science Edition,2017,(06):651-655.
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像素连接车牌定位技术的研究()
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《江西师范大学学报》(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2017年06期
页码:
651-655
栏目:
出版日期:
2017-12-01

文章信息/Info

Title:
The Study on License Plate Location Technology by Pixel Connection
作者:
邓 泓李水泉彭莹琼
1.江西农业大学软件学院,江西 南昌 330045; 2.江西省高等学校农业信息技术重点实验室,江西 南昌 330045; 3.深圳大学计算机与软件学院,广东 深圳 518060
Author(s):
DENG HongLI ShuiquanPENG Yingqiong
1.School of Software,Jiangxi Agricultural University,Nanchang Jiangxi 330045,China; 2.Key Laboratory of Agricultural Information Technology of Jiangxi College,Nanchang Jiangxi 330045,China; 3.College of Computer Science & Software Engineering,Shenzh
关键词:
车牌定位 像素连接 边缘检测
Keywords:
license plate location pixel connection edge detection
分类号:
TP 311
文献标志码:
A
摘要:
车牌定位作为车牌识别的先导部分,其准确性决定了车牌识别系统的可靠性.现有车牌定位技术对融合后的图像进行形态学操作时,存在结构元素大小不易控制,并且若车身有着与车牌同样的颜色,形态学膨胀容易造成两者相连接的问题.针对该问题,提出了像素连接的车牌定位方法,达到较好的车牌识别边缘检测效果.
Abstract:
License plate location is regaded as the guide part of the license plate recognition,its accuracy determines the license plate recognition system reliability.The existing license plate locating algorithm has the following two problems,which is the fusion image morphological operation,the size of structural elements control; and if the body has a license and the same color and morphological dilation is likely to cause both connected.In view of the above problems,the method of license plate location based on pixel connection has been proposed to achieve the better edge detection results of the license plate recognition system.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2016-11-17基金项目:国家自然科学基金(71362019),江西省普通本科高校中青年教师发展计划访问学者专项资金(赣教办函[2016]109)和江西省教育厅科技课题(GJJ14282)资助项目.作者简介:邓 泓(1977-),男,江西都昌人,副教授,主要从事农业信息化与图像处理的研究.E-mail:jxaudh@aliyun.com
更新日期/Last Update: 1900-01-01