%0 Journal Article
%T Fingerprint classification using hmm and svm<br>基于HMM和SVM的指纹分类方法
%A Wang Chongwen
%A Li Jianwei
%A Chen Weimin
%A <br>王崇文
%A 李见为
%A 陈为民
%J 电子与信息学报
%D 2003
%I 
%X In this paper, a new classification method is proposed that is based on HMM and SVM using FingerCode. This technique uses FingerCode as representation of fingerprint, first, using five HMM classifiers to classify originally, furthermore, basing on the most possible two results of classification by HMM, the corresponding SVM classifier is selected to make final decision. Through experiments, the performance of this method reaches or exceeds many popular ones and has value to a certainty in practice.
%K Fingerprint classification
%K Support Vector Machine(SVM)
%K Hidden Markov Model (HMM)
%K FingerCode<br>HMM
%K SVM
%K 指纹分类
%K 支持向量机
%K 隐马尔可夫模型
%K 指纹编码
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=F6D6155A61DF691E&yid=D43C4A19B2EE3C0A&vid=C5154311167311FE&iid=708DD6B15D2464E8&sid=65B62960A2E224C9&eid=3DEC1A337B83DA73&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=4&reference_num=15