AdaBoost算法在车牌字符识别中的应用  

Application of AdaBoost Algorithm on License Plate Recognition

作　　者：季秀霞[1] 

机构地区：[1]广东工业大学自动化学院,广东广州510090

出　　处：《微计算机信息》2007年第22期262-264,共3页Control & Automation

基　　金：广东省教育厅自然科学基金(z03032)

摘　　要：提出了一种基于AdaBoost的车牌字符自动识别算法。AdaBoost是一种构建准确分类器的学习算法,它将一族弱学习算法通过一定规则结合成为一个强学习算法,从而通过样本训练得到一个识别准确率理想的分类器,将之用于车牌字符识别,对车牌图像进行实验,对车牌字符样本进行特征提取,用特征来训练有效分类器,用MATLAB完成了对车牌照数字识别的模拟,结果证实此算法对车牌字符识别有一定准确性,具有良好的效果。A method of License Plate Recognition using AdaBoost algorithm is presented.AdaBoost is a learning algorithm for constructing accurate classifiers, It can obtain a strong learning algorithm by combining a series of weak learning algorithms through some rules, which is used on License Plate Recognition, Selecting character features, trains the effective classifier with features, simulates the recognition in use of MATLAB, the result of simulation indicated that the method of this paper proposed has the good effect.

关 键 词：车牌识别 字符识别 特征选择 ADABOOST 

分 类 号：TP391.43[自动化与计算机技术—计算机应用技术]