• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2008, Vol. 30 ›› Issue (8): 36-38.

• 论文 • 上一篇    下一篇

基于多特征和加权模式相似陛测度的车牌字符识别方法

谢剑斌 刘通 文特 闫玮   

  • 出版日期:2008-08-01 发布日期:2010-05-19

  • Online:2008-08-01 Published:2010-05-19

摘要:

针对嵌入式环境下车牌识别的问题,本文提出了一种基于多特征和加权模式相似性测度的车牌字符识别方法。首先获取车牌字符的结构、轮廓与笔划等多特征信息,建立车牌字符编码表;然后利用加权模式相似性测度进行特征匹配,完成字符识别。该方法不需要样本和模板,占用资源少,运算效率高,可以满足嵌入式环境下车牌识别对资源和效
效率的要求。实验表明,该方法鲁棒性好、识别率高。

关键词: 车牌字符识别 多特征 相似性测度

Abstract:

A method for license plate recognition based on multiple features and weighted pattern similar:ty measurement is proposed for the embedded environmen t. Firstly, the multi-feature information including structure, profile and stroke is detected and the license plate code table is set up. Secondly,by we   ighted pattern similarity measurement,license plate recognition is realized. This method does not need samples and templates,costs little resources and  has high computing efficiency, and can meet the needs of resources and efficiency for license plate recognition in the embedded environment. The experim  ents show that the method has good robustness and high recognition rate.

Key words: license plate recognition;multiple features, similarity measurement