车牌定位方法的研究  

Research on License Plate Location Algorithm

作　　者：李盛宁[1] 王富东[1] 张成[1] 杨丹明[1] 

机构地区：[1]苏州大学机电工程学院电气工程与自动化系,江苏苏州215021

出　　处：《工业控制计算机》2011年第6期11-13,共3页Industrial Control Computer

摘　　要：车牌定位是车牌识别系统的重要组成部分。由于车牌颜色、大小、位置的不确定性以及环境因素的干扰,因此车牌很难准确地定位。研究了一种基于灰度跳变定位车牌区域的新方法,引入跳变点密度概念。对于预处理以后的车牌图像进行一阶差分运算,得到车牌图像的跳变点,利用阈值滤去部分跳变点,判断相邻跳变点之间的间距与跳变点密度的大小关系,同时根据车牌区域的特征完成车牌的初步定位。Plate Location is an important component of License Plate Recognition.thecolor,size and position of the plate in Plate Location is uncertain.The interference of environmental factors,so Plate Location is a difficult problem.This paper studies a new method Based on Gray Level Jumping.Raise a concept of transition point density,and can find the trip points by first difference operator image,then decrease the trip points by threshold,estimate distance between the distance adjacent trip points and the density of trip points.And roughly locate the license plate based on the characteristic of license plate.Then exactly locate the license plate.

关 键 词：车牌定位 图像处理 跳变点密度 二值化 Hougu变换 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]