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Acta Polytechnica HungaricaVolume 14, Issue 4, 2017, Pages 47-62

Information-theoretic analysis of iris biometrics for biometric cryptography(Article)(Open Access)

  • Adamovic, S.,
  • Milosavljevic, M.,
  • Veinovic, M.,
  • Sarac, M.,
  • Jevremovic, A.
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  • Department of Informatics and Computing, Singidunum University, 32 Danijelova Street, Belgrade, 11000, Serbia

Abstract

This paper presents a rigorous information-theoretic analysis of iris biometrics with the aim to develop optimized biometric cryptosystems. By estimating local entropy and mutual information, we identify the iris regions that are most suitable for these purposes. Parameter optimization of the appropriate wavelet transform produces higher entropy and low mutual information in the transformation domain. This establishes an effective framework for the development of systems for the extraction of truly random sequences from iris biometrics, while not compromising its proven authentication features. © 2018, Budapest Tech Polytechnical Institution. All rights reserved.

Author keywords

Biometric cryptosystemsImage analysisImage textureInformation theoryIris biometrics

Funding details

Funding sponsor Funding number Acronym
Ministarstvo Prosvete, Nauke i Tehnološkog RazvojaTR32054MPNTR
Ministarstvo Prosvete, Nauke i Tehnološkog RazvojaMPNTR

  • 1

    This work was supported by the Ministry of Science and Technological Development of the Republic of Serbia through the project TR32054.

  • ISSN: 17858860
  • Source Type: Journal
  • Original language: English
  • DOI: 10.12700/APH.14.4.2017.4.3
  • Document Type: Article
  • Publisher: Budapest Tech Polytechnical Institution


© Copyright 2018 Elsevier B.V., All rights reserved.

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