恶劣条件下车牌识别关键技术研究  

Research on Key Technologies of License Plate Recognition under Bad Conditions

作　　者：陈锋 李岩 CHEN Feng;LI Yan(China Communications Information Technology Group Co.,Ltd.,Beijing,101318 China)

机构地区：[1]中国交通信息科技集团有限公司,北京101318

出　　处：《汽车知识》2023年第3期1-3,共3页Auto Know

摘　　要：车辆识别关键技术被广泛地应用于停车场管理、高速收费管理、小区车辆管理、超速监控、违章监测等相关领域,在智能交通系统当中是重要的组成部分。在恶劣条件下成像设备所采集到的车辆图像会存在模糊不清的问题,这些都会影响到图像的识别精度,给后续的交通管理带来不便,也会给其他的工作埋下安全隐患,故此,在恶劣条件下,需要针对车牌识别关键技术的应用进行深入分析和探讨,为今后的管理工作奠定良好的基础。The key technology of vehicle identification is widely used in parking lot management,high-speed toll management,community vehicle management,overspeed monitoring,violation monitoring and other related fields,and is an important part of the intelligent transportation system.The vehicle image collected by the imaging equipment under bad conditions will have the problem of ambiguity,which will affect the recognition accuracy of the image,inconvenience the subsequent traffic management,and also lay hidden dangers for other work.Therefore,in bad conditions,it is necessary to carry out in-depth analysis and discussion on the application of the key technology of license plate recognition to lay a good foundation for future management.

关 键 词：车牌识别 去雾 离焦模糊 运动模糊 

分 类 号：U461[机械工程—车辆工程]