%0 Journal Article
%T PALMPRINT RECOGNITION BASED ON DISCRETE CURVELET TRANSFORM AND SUPPORT VECTOR MACHINE<br>基于离散曲波变换和支持向量机的掌纹识别方法
%A XU Xue-Bin
%A ZHANG De-Yun
%A ZHANG Xin-Man
%A CAO Yang-Jie
%A <br>许学斌
%A 张德运
%A 张新曼
%A 曹仰杰
%J 红外与毫米波学报
%D 2009
%I Science Press
%X A muhiscale palmprint recognition method based on discrete curvelet transform and support vector machine was proposed. First, all palmprint images were decomposed by using discrete curvelet transform via wrapping. As a result, curvelet coefficients in different scales and various angels were obtained. The important feature information of palmprint was ineluded in the low frequency coefficients of curvelet transform decomposition coefficients. After the decomposition coeffi- cients were transformed into feature vectors, they were regarded as feature parameters and sent into SVM for training. Finally, SVM was used for classification of palmprint. The experiments were performed in the PolyU Palmprint database. The results indicate that the proposed method has better performance than wavelet-based method and other classical methods.
%K curvelet transform
%K support vector machine(SVM)
%K palmprint recognition<br>曲波变换
%K 支持向量机
%K 掌纹识别
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=D3B4F771D1A06062008B4D0A2EF05996&aid=1FE6CC0C727EC56E8BDA79148E90FE21&yid=DE12191FBD62783C&vid=D3E34374A0D77D7F&iid=B31275AF3241DB2D&sid=522844664D9E629A&eid=E0172F1A638CE984&journal_id=1001-9014&journal_name=红外与毫米波学报&referenced_num=1&reference_num=18