A Robust Finger Knuckle Print Authentication using Topothesy and fractal dimension

Authors

  • Madasu Hanmandlu Electrical Engineering Department, Indian Institute of Technology Delhi, New Delhi
  • Neha Mittal Electronics Engineering Department, JP Institute of Engineering and Technology, Meerut
  • Ritu Vijay Electronics Department, Banasthali University, Banasthali

DOI:

https://doi.org/10.14429/dsj.1.9003

Keywords:

Finger-knuckle-print, Gaussian smoothed high pass, Gaussian smoothed oriented directives, Structure function, Fractal parameters, Score level fusion, Refined scores method

Abstract

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.

Author Biographies

Madasu Hanmandlu, Electrical Engineering Department, Indian Institute of Technology Delhi, New Delhi

Professor

Electrical Engineering Department

Neha Mittal, Electronics Engineering Department, JP Institute of Engineering and Technology, Meerut

Assistant Professor

Electronic and communications department

Ritu Vijay, Electronics Department, Banasthali University, Banasthali

Associate Professor

Department of electronics

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Published

2016-12-23

How to Cite

Hanmandlu, M., Mittal, N., & Vijay, R. (2016). A Robust Finger Knuckle Print Authentication using Topothesy and fractal dimension. Defence Science Journal, 67(1), 66–73. https://doi.org/10.14429/dsj.1.9003

Issue

Vol. 67 No. 1

Section

Electronics & Communication Systems

License

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