自动化学报2003，Vol.29Issue(6)：851-858,8.
一种新型的两级指纹分类方法
A New Two-Stage Method of Fingerprint Classification
摘要
Abstract
A new two-stage method of fingerprint classification is proposed that is based on hidden Markov model (HMM) and support vector machine (SVM). This technique uses FingerCode as the representation of the fingerprint. After classifiers are trained, five pseudo 2-D HMM classifiers are used to firstly select the most possible two classification results. Furthermore, the corresponding SVM classifier is selected to make the final decision. In the end, this new approach is tested by 2000 images selected from the NIST-4 database and 1000 images from the CQU-VERID-ICOM database. A classification accuracy of 91 percent and a classification consistency of 93.7 percent are achieved. The results demonstrate the effectiveness of this approach.关键词
指纹分类/支持向量机/隐马尔可夫模型/指纹编码Key words
Fingerprint classification/SVM/HMM/FingerCode分类
信息技术与安全科学引用本文复制引用
王崇文,李见为,陈为民..一种新型的两级指纹分类方法[J].自动化学报,2003,29(6):851-858,8.基金项目
Supported by the 211 Key project of Chongqing University （）
