Wavelet packet based feature extraction and recognition of license plate characters  

作　　者：HUANGWei LUXiaobo LINGXiaojing 

机构地区：[1]ResearchCenterofIntelligentTransportationSystemsofMOE,SoutheastUniversity,Nanjing210096,China

出　　处：《Chinese Science Bulletin》2005年第2期97-100,共4页

基　　金：This work was supported by the Natural Science Foundation of Jiangsu Province(Grant No.BK2004077).

摘　　要：To study the characteristics of license plate characters recognition,this paper proposes a method for fea- ture extraction of license plate characters based on two-dimensional wavelet packet.We decompose license plate character images with two dimensional-wavelet packet and search for the optimal wavelet packet basis.This paper pre- sents a criterion of searching for the optimal wavelet packet basis,and a practical algorithm.The obtained optimal wavelet packet basis is used as the feature of license plate character,and a BP neural network is used to classify the character.The test- ing results show that the proposed method achieved higher recognition rate than the traditional methods.To study the characteristics of license plate characters recognition, this paper proposes a method for feature extraction of license plate characters based on two-dimensional wavelet packet. We decompose license plate character images with two dimensional-wavelet packet and search for the optimal wavelet packet basis. This paper presents a criterion of searching for the optimal wavelet packet basis, and a practical algorithm. The obtained optimal wavelet packet basis is used as the feature of license plate character, and a BP neural network is used to classify the character. The testing results show that the proposed method achieved higher recognition rate than the traditional methods.

关 键 词：牌照 自动识别 图像识别 小波数据包 特征抽出 特征识别 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]