• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2010, Vol. 32 ›› Issue (8): 87-89.doi: 10.3969/j.issn.1007130X.2010.

• 论文 • 上一篇    下一篇

基于扩展数学形态学的车牌定位算法

熊春荣1,2,黄文明2   

  1. (1.玉林师范学院,广西 玉林 537000;2.桂林电子科技大学,广西 桂林 541004)
  • 收稿日期:2009-06-18 修回日期:2009-11-05 出版日期:2010-07-25 发布日期:2010-07-28
  • 作者简介:熊春荣(1979),女,广西桂林人,硕士,讲师,研究方向为计算机图形图像处理;黄文明,副教授,研究方向为图形图像处理、网格计算和软件工程。

An Algorithm of License Plate Location Based on Extended Mathematical Morphology

XIONG Chunrong1,2,HUANG Wenming2    

  1. (1.Yulin Normal University,Yulin 537000;2.Guilin University of Electronics Technology,Guilin 541004,China)
  • Received:2009-06-18 Revised:2009-11-05 Online:2010-07-25 Published:2010-07-28

摘要:

在汽车牌照识别系统中,车牌定位是整个识别模块实现的前提,目前车牌定位的方法多种多样,各有所长,但存在着计算量大或定位准确率不高等问题。边缘检测是常用的车牌定位方法,边缘检测的质量决定了车牌图像的最终定位结果。一般人们习惯于用基于梯度和基于模板的算子提取边缘,但这类算子都不能很好地滤除噪声,因而给噪声图像边缘检测带来了困难。根据数学形态学原理与方法,提出一种扩展数学形态学车牌图像边缘检测算子,并结合水平和垂直投影进行车牌定位。实验结果表明,该算法不仅能成功提取车牌图像边缘,而且能很好地滤除噪声,从而实现准确车牌定位。

关键词: 车牌定位, 数学形态学, 结构元素, 边缘检测

Abstract:

In car license plate recognition systems, license plate location is the precondition of the whole recognition module. Now various methods are used in it, each of which has its own advantage. However, such problems as the quantity in calculation or the low correct location rate are not solved. Edge detection is a common method of license plate location, but edge detection’s quality decides the result of car license image locating finally. Generally, people are accustomed to detecting edges by using gradientbased algorithms and templatebased algorithms, but all of them fail to filter the noise. According to the basic theories and methods of mathematical morphology, this paper puts forward a car license image edge detection operator based on extended mathematical morphology, both the horizontal projection and vertical projection are used to locate the license plate area. The experimental results indicate that the novel proposed algorithm is a better method for car license image edge detecting and noise filtering than the usually used ones, thus realizes the accurate locating of car license plates.

Key words: license plate location;mathematical morphology;structure element;edge detection 