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一种基于层次分类与纹理分析的指纹识别方法
引用本文:刘飞飞,刘建生,杨春华,黄朝志,缪周,杨忠,伍建军,葛继. 一种基于层次分类与纹理分析的指纹识别方法[J]. 南方冶金学院学报, 2003, 24(5): 44-48
作者姓名:刘飞飞  刘建生  杨春华  黄朝志  缪周  杨忠  伍建军  葛继
作者单位:[1]南方冶金学院研究设计院.江西赣州341000 [2]南方冶金学院理学院,江西赣州341000
摘    要:介绍了一种基于层次分类与纹理分析相结合的指纹识别方法.该方法通过指纹整体纹线特征分析,分层次进行指纹的形与子形分类,再由指纹的局部纹理分析确定指纹的细节特征,由此得到具有层次类属的待识指纹特征矢量.在此基础上采用了最大似然法和模糊综合评判方法,在特征数据库的相应类属中进行指纹识别,得到识别结果.该方法已用于指纹考勤系统,应用表明该方法在保证识别准确性的前提下明显地提高了识别速度.识别速度达0.8s/枚.

关 键 词:指纹识别 层次分类 纹理分析 几何构型 模糊评价
文章编号:1007-1229(2003)05-0044-05

A Fingerprint Identification Method based on Multi-level Shape Classification and Texture Feature Analysis
LIU Fei-Fei ,LIU J ian-Sheng ,YANG Chun-Hua ,HUANG Chao-Zhi ,MIAO Zhou ,YANG Zhong ,WU J ian-J un ,GE ji. A Fingerprint Identification Method based on Multi-level Shape Classification and Texture Feature Analysis[J]. Journal of Southern Institute of Metallurgy, 2003, 24(5): 44-48
Authors:LIU Fei-Fei   LIU J ian-Sheng   YANG Chun-Hua   HUANG Chao-Zhi   MIAO Zhou   YANG Zhong   WU J ian-J un   GE ji
Affiliation:LIU Fei-Fei 1,LIU J ian-Sheng 2,YANG Chun-Hua 1,HUANG Chao-Zhi 1,MIAO Zhou 1,YANG Zhong 1,WU J ian-J un 1,GE ji 1
Abstract:This paper provides an efficient fingerprint identification method based on multi-level shape classification and texture feature analysis of fingerprint image.The method consists of several steps:fingerprint acquisition,image enhance,minutiae extraction,texture feature analysis,fingerprint shape classification and comparison with template stored in database.The minimum mean square error fitting and fuzzy synthesis decision are applied to this identification algorithm.According to the fingerprint identification method,an automatic fingerprint identification system(SIM-AFIS)and a fingerprint attendance record system(GZGS-FARS)are developed.Experiment result and application show that this method is feasible and suitable for identification and verification systemof network or terminal system.
Keywords:fingerprint identification  multi-level shape classification  texture feature analysis  geometric shape  fuzzy decision
本文献已被 CNKI 维普 等数据库收录!
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