车辆牌照识别系统综述  

The survey on vehicle license plate recognition system

作　　者：王广宇[1] 

机构地区：[1]郑州轻工业学院应用数理系,河南郑州450002

出　　处：《郑州轻工业学院学报》2001年第2期47-50,共4页Journal of Zhengzhou Institute of Light Industry（Natural Science）

摘　　要：基于图像和字符识别技术的智能化交通管理系统——车辆牌照识别系统 ,一般要先对原始图像进行转换、压缩、增强、水平校正等预处理 ,再用边缘检测法对牌照进行定位与分割 ,而字符识别多采用特征提取与模式匹配等方法 .从中可以看出 :多种预处理与识别技术有机结合以提高系统识别能力 ,在有效。The vehicle license plate recognition system is an intelligent traffic control system based on image and technique of character recognition. In this system, the original image is first transformed, compressed, enhanced and horizontally rectified, then, the license plate is fixed in a position and cut apart by verge examination, while the characteristic extracting and modle matching are usually used in character recognition. It shows that combined pretreatments and recognition techniques can improve the ability of recognition, and the combination of neural network and artificial intelligence under the principle of efficiency and practicality will be two major development trendencies of parttern recognition.

关 键 词：模式识别 图像增强 字符 人工智能 车辆牌照识别系统 

分 类 号：U491.5[交通运输工程—交通运输规划与管理] TP391.41[交通运输工程—道路与铁道工程]