Secure biometric template protection via randomized dynamic quantization transformation

Andrew Beng Jin Teoh, Thian Song Ong

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

Fuzzy Commitment Scheme is one of the biometric encryption approaches for biometric template protection. The idea is to bind an identifier with a biometric template in binary format called difference vector during enrollment. Ideally, a difference vector is infeasible to recover either the biometrie template or the identifier without any knowledge of the user's biometrie data. Yet, this is only valid if the biometrie template is uniformly random, but this is not the case in reality. In this paper, we propose a method known as randomized dynamic quantization transformation (RDQT) to binarize biometrie data but still highly distinctive among the users and highly random. We demonstrate the implementation in the context of fingerprint biometrics. The experiment results and the security analysis in DB1 (FVC 2002) dataset suggest that the technique is feasible in practical usage.

Original languageEnglish
DOIs
Publication statusPublished - 2008 Sep 12
EventIEEE- International Symposium on Biometrics and Security Technologies, ISBAST'08 - Islamabad, Pakistan
Duration: 2008 Apr 232008 Apr 24

Other

OtherIEEE- International Symposium on Biometrics and Security Technologies, ISBAST'08
CountryPakistan
CityIslamabad
Period08/4/2308/4/24

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Science Applications
  • Control and Systems Engineering

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  • Cite this

    Teoh, A. B. J., & Ong, T. S. (2008). Secure biometric template protection via randomized dynamic quantization transformation. Paper presented at IEEE- International Symposium on Biometrics and Security Technologies, ISBAST'08, Islamabad, Pakistan. https://doi.org/10.1109/ISBAST.2008.4547645