摘要
车牌自动识别系统分为图像预处理、车牌定位、字符分割、字符识别4步。车牌准确定位是LPR系统中的关键,本文利用形态学变换对图像进行滤波聚类,HOUGH变换方法对车牌图像进行水平校正,基于RBF网络的方法识别字符。在DELPHI 7.0环境下设计开发的车牌自动识别系统,经检验取得满意的效果。
The LPR （License Plate Recognition） system consists of four steps： image processing methods, license plate locating, character segmentation and character identification. License plate locating is an important step in a LPR system. This paper presents a method of locating and adjusting license plates, which combines the morphological method of image processing and the method of Hough transform. A character recognition algorithm based on RBF neural network is presented. The experiments proved that algorithm is fast and accurate. At last, a system of vehicle license identification system based on Delphi 7.0 was designed. The experimental results show the good performance of the LPR system.
出处
《南昌大学学报（工科版）》
CAS
2009年第2期147-150,共4页
Journal of Nanchang University(Engineering & Technology)
基金
国家自然科学基金资助项目(60533010)
关键词
车牌识别
RBF神经网络
HOUGH变换
字符分割
字符识别
vehicle license recognition
RBF neural network
Hough transform
character segmentation
character recognition
