嵌入式监控影像车牌识别方法  

Embedded License Plate Recognition System of Surveillance Video

作　　者：陈祖斌[1] 黄维宁[1] 赵逸夫 于洋[1] 

机构地区：[1]吉林大学仪器科学与电气工程学院,长春130022

出　　处：《吉林大学学报（信息科学版）》2015年第4期463-470,共8页Journal of Jilin University（Information Science Edition）

基　　金：国家级大学生创新实验计划基金资助项目(2013A65234)

摘　　要：为解决基于PC机的车牌识别系统成本高、重量大、操作复杂、安全性低等诸多问题,提出嵌入式监控影像车牌识别方法。将车牌识别与嵌入式相结合,通过中值滤波、索贝尔边缘检测、全局阈值化、基于纹理特征的近似定位、字符归一化、基于不同分类器的字符识别等技术形成了一套完整的车牌识别系统。该系统体积小、稳定性好、可行度高、准确度高、易于安装。在不同情况下进行900例不同车牌识别实验,实验结果表明,该系统的识别准确率高达97.3%左右,在降低成本、减轻重量、简化操作的同时达到很高的精度,可替代PC机的车牌识别系统。Because the PC-based license plate recognition system has a high cost, heavy complex operation, security is low and many other defects, we proposed license plate recognition technology embedded monitor video license plate recognition and embedded together by median filter, Sobel edge detection, global thresholding, texture features based on the approximate location, character normalization, different classifier character recognition technology to form a complete license plate recognition system. The system is small, stable, practical and accurate. We conducted 900 patients with different license plate recognition experiment under different circumstances, the accuracy rate is as high as 97.3%, and the system can achieve very high precision.

关 键 词：字符识别 嵌入式 字符归一化 索贝尔边缘检测 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]