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[1]王亮,鲁华祥,景为平,等.基于图像验证的ETC干扰问题解决方法[J].智能系统学报,2012,7(1):50-55.
　WANG Liang,LU Huaxiang,JING Weiping,et al.A solution to interference problems in ETC systems based on image verification[J].CAAI Transactions on Intelligent Systems,2012,7(1):50-55.

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基于图像验证的ETC干扰问题解决方法

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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷: 7 期数: 2012年第1期页码: 50-55 栏目: 学术论文—人工智能基础出版日期: 2012-02-25

Title:: A solution to interference problems in ETC systems based on image verification

文章编号:: 1673-4785(2012)01-0050-06

作者:: 王亮¹，鲁华祥¹，景为平2，陈天翔³; 1.中国科学院半导体研究所，北京 100083；
?2.南通大学江苏省集成电路设计重点实验室，江苏南通 226019；
?3.厦门理工学院电子与电气工程系，福建厦门 361005

Author(s):: WANG Liang¹， LU Huaxiang¹， JING Weiping^2， CHEN Tianxiang³; 1. Institute of Semiconductors, Chinese Academy of Science, Beijing 100083, China;
2. Jiangsu Key Lab of ASIC Design, Nantong University, Nantong 226019, China;
3. Electronic and Electrical Engineering Department, Xiamen University of Technology, Xiamen 361005, China

关键词:: ETC; 牌照验证; 凹凸特征; 跟车干扰; 邻道干扰

Keywords:: electronic toll collection(ETC); license plate verification; convexandconcave feature; followingcar interference; adjacent lane interference

分类号:: TP39

文献标志码:: A

摘要:: 电子不停车收费系统（ETC）的干扰问题的原因在于现有的技术验证系统通过微波通信没有获得正确的车辆信息，针对这个问题提出一种基于字符凹凸特征的快速牌照字符验证方法.该方法以系统获得的牌照信息为已知信息，选择当前车辆牌照字符图像的凹凸特征验证其是否来源于当前待交易车辆，无需对牌照图像进行复杂的预处理，也不是直接的牌照字符识别，从而满足了ETC系统的实时性要求.实验结果表明，采用该方法以及车辆颜色和车型验证，能可靠地检查出非法车辆，切实解决ETC系统的干扰问题.

Abstract:: The cause for interference problems in electronic toll collection (ETC) systems is a lack of a means to verify the vehicle information collected through microwave communication. A fast license plate verification method based on the character image’s convexandconcave features was proposed in this paper. This method uses the vehicle information collected by an ETC system as known information and chooses the character image’s convexandconcave features to verify whether the vehicle information originates with the car in question. Because this method needs no complicated preprocessing and does not involve direct character recognition, it complies with the ETC system’s realtime requirements. Experimental results show that this method, supplemented by color and size verification, can reliably detect illegal vehicles and solve interference problems in ETC systems. 

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备注/Memo

收稿日期： 2011-12-31.
基金项目：国家自然科学基金资助项目(61076014)；江苏省高校自然科学基金资助项目(10KJA510042)；厦门市重大科技计划项目(3502Z20111008).
通信作者：王亮.????????E-mail:hy242@semi.ac.cn.
?作者简介：
王亮，男，1987年生，硕士研究生，主要研究方向为模式识别、最优化算法等.
鲁华祥，男，1965年生，研究员，主要研究方向为智能信息处理、神经网络技术及其应用. 近年来，作为项目负责人或骨干研究人员已完成国家重大科技攻关项目3项、国家“863”计划项目3项、国家自然科学基金重点项目3项，发表学术论文50余篇.
景为平，男，1954年生，研究员，南通大学江苏省专用集成电路设计重点实验室主任，中国半导体行业协会封装分会理事.主要研究方向为数模混合集成电路设计，获得集成电路版图保护成果5项，发表学术论文20余篇.

更新日期/Last Update: 2012-05-07

基于图像验证的ETC干扰问题解决方法 PDF下载HTML

备注/Memo

基于图像验证的ETC干扰问题解决方法

PDF下载 HTML