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Fingerprint classification using hmm and svm |
Wang Chongwen①②; Li Jianwei②; Chen Weimin② |
①Software College, Beijing Institute of Technology; Beijing 100081,China;②Optoelectronical College, Chongqing University,Chongqing 400044, China |
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Abstract 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.
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Received: 13 May 2002
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