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基于LS_SVM的车牌字符识别
引用本文:赵海燕,张世铮,庄丽艳.基于LS_SVM的车牌字符识别[J].内蒙古民族大学学报(自然科学版),2009,24(6):623-625.
作者姓名:赵海燕  张世铮  庄丽艳
作者单位:内蒙古民族大学计算机科学与技术学院,内蒙古,通辽,028043
基金项目:内蒙古自治区自然科学基金资助项目,内蒙古民族大学科学研究项目 
摘    要:提出一种基于最小二乘支持向量机(LS_SVM)的车牌字符识别算法.实验表明,该算法对车牌字符识别速度平均为19.23ms/字符,该方法可用于陕速分类识别.

关 键 词:车牌字符识别  最小二乘支持向量机  分类器

Characters Recognition of License Plate Based on LS_SVM
ZHAO Hai-yan,ZHANG Shi-zheng,ZHUANG Li-yan.Characters Recognition of License Plate Based on LS_SVM[J].Journal of Inner Mongolia University for the Nationalities(Natural Sciences),2009,24(6):623-625.
Authors:ZHAO Hai-yan  ZHANG Shi-zheng  ZHUANG Li-yan
Institution:(College of Computer Science and Technology, Inner Mongolia University for Nationalities, Tongliao 028043, China)
Abstract:This paper presented an algorithm based on least squares support vector machines (LS_SVM) in the characters recognition of license plate. Experiment results showed that the average speed for recognition was 19.83/ character. This algorithm can be used for the fast classification and recognition.
Keywords:Characters recognition of license plate  LS_SVM  Classifier
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