关键词: AdaBoost算法, 分类器, 过配现象, HSV颜色模型

Abstract:

This paper presents a method for license plate detection based on improved AdaBoost algorithm and HSV color model.With respect to the overfitting and low detection rate appeared in the training process of traditional AdaBoost algorithm,this article makes some improvements to weight updating rule of traditional AdaBoost algorithm and weight parameter of weak classifiers,and constructs the first strong classifier by HSV color model,thus a cascade classifier for license plate detection.Experimental results show that license plate detector obtained by this method improves the detection rate and detection speed of license plate,and to some extent avoids overfitting.

Key words: AdaBoost algorithm;classifier;phenomenon of overfitting;HSV color model