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文章基本信息

  • 标题:A Robust Finger Knuckle Print Authentication using Topothesy and fractal dimension
  • 本地全文:下载
  • 作者:Madasu Hanmandlu ; Neha Mittal ; Ritu Vijay
  • 期刊名称:Defence Science Journal
  • 印刷版ISSN:0976-464X
  • 出版年度:2016
  • 卷号:67
  • 期号:1
  • 页码:66-73
  • 语种:English
  • 出版社:Defence Scientific Information & Documentation Centre
  • 摘要:This paper presents the finger knuckle based biometric authentication system using the approaches like structure entropy, GSHP (Gaussian smoothed High pass), GSOD (Gaussian Smoothed Oriented Directives) and also the well known method for surface roughness measurement called the fractal profiles represented by Topothesy and fractal dimension which describe not only the roughness but also the affine self similarity. We have also implemented Daisy descriptor for the representation of texture. The results of fractal parameters along with the refined scores are comparable to those of the compcode and impcompcode.
  • 关键词:Finger-knuckle-print;Gaussian smoothed high pass;Gaussian smoothed oriented directives;Structure function;Fractal parameters;Score level fusion;Refined scores method
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