基于边缘检测和Blob分析的车牌识别技术研究  

Research on License Plate Recognition Based on Edge Detection and Blob Analysis

作　　者：李百明[1] LI Bai-ming(Minnan University of Science and Technology,Provincial Key Laboratory of Industrial Robot Measurement and Control,Rapid Die Manufacturing,Shishi Fujian 362700,China)

机构地区：[1]闽南理工学院,工业机器人测控与模具快速制造福建省高校重点实验室,福建石狮362700

出　　处：《装备制造技术》2020年第10期26-30,34,共6页Equipment Manufacturing Technology

基　　金：工业机器人测控与模具快速制造福建省高校重点实验室项目(闽教科〔2017〕8号)资助;纺织鞋服智能化福建省高校工程研究中心项目(闽教科〔2018〕86号)资助。

摘　　要：根据车牌识别系统的工作原理,在分析了常用车牌定位方法优缺点基础上,提出了一种基于边缘检测联合Blob分析的车牌识别技术。结果表明:系统对车牌精准定位准确率为95%、字符识别准确率为90%;每幅图片的识别时间了0.485 s;系统具备良好的使用性能,可广泛的应用于商场、超市、城市道路监控等场合。According to the working principle of license plate recognition system,the advantages and disadvantages of common license plate location methods are analyzed,and a license plate recognition technology based on edge detection and blob analysis is proposed. The results show that:the accuracy of license plate location is 95%,the accuracy of character recognition is 90%;the recognition time of each picture is 0.485 s;the system has good performance and can be widely used in shopping malls,supermarkets,urban road monitoring and other occasions.

关 键 词：车牌 边缘检测 BLOB分析 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]