Fuzzy extractors for minutiae-based fingerprint authentication

  • Authors:
  • Arathi Arakala;Jason Jeffers;K. J. Horadam

  • Affiliations:
  • School of Mathematical and Geospatial Sciences, RMIT University, Melbourne;School of Mathematical and Geospatial Sciences, RMIT University, Melbourne;School of Mathematical and Geospatial Sciences, RMIT University, Melbourne

  • Venue:
  • ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
  • Year:
  • 2007

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Abstract

We propose an authentication scheme using fingerprint biometrics, protected by a construct called a Fuzzy Extractor. We look at a new way of quantizing and digitally representing the minutiae measurements so that a construct called PinSketch can be applied to the minutiae. This is converted to a Fuzzy Extractor by tying some random information to the minutiae measurements. We run a matching algorithm at chosen quantization parameters and show that the authentication accuracy is within acceptable limits. We demonstrate that our authentication system succeeds in protecting the users' identity.