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文章基本信息

  • 标题:Fusion of Fingerprint and Age Biometric for Gender Classification Using Frequency and Texture Analysis
  • 本地全文:下载
  • 作者:S. S. Gornale ; Kruthi R
  • 期刊名称:Signal & Image Processing : An International Journal (SIPIJ)
  • 印刷版ISSN:2229-3922
  • 电子版ISSN:0976-710X
  • 出版年度:2014
  • 卷号:5
  • 期号:6
  • 页码:75
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Classification of gender from fingerprints is one of the important steps in forensic anthropology. Thisforensic anthropology is used to identify the gender of a criminal in order to minimize the suspects list ofsearch. A very few researcher have worked on gender classification using fingerprints and have gain thecompetitive results. In this work we are trying to fuse the fingerprint and age biometrics for genderclassification. The real fingerprints were collected from different age groups such as 15-20 years and 20-60 years of the rural and urban people. According to this experimental observation soft biometricinformation can be used significantly to improve the recognition performance of biometric system. Theoverall performance of the proposed method is found to be satisfactory and more competitive.
  • 关键词:Gender classification; frequency domain; texture analysis; soft biometrics and hard biometrics traits.
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