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IET BiometricsVolume 6, Issue 2, 1 March 2017, Pages 89-96

Fuzzy commitment scheme for generation of cryptographic keys based on iris biometrics(Article)

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  • School of Informatics and Computing, Singidunum University, Belgrade, Serbia

Abstract

This work presents a method based on information-theoretic analysis of iris biometric that aims to extract homogeneous regions of high entropy. Successful extraction of these regions facilitates the development of effective systems for generation of cryptographic keys of lengths up to 400 bits per iris. At the same time, this approach allows for the application of simpler error correction codes with equal false accept rate levels, which reduces the overall complexity of this class of systems. © The Institution of Engineering and Technology 2016.

Indexed keywords

Engineering controlled terms:CryptographyError correctionInformation theory
Engineering uncontrolled termsCryptographic keyEffective systemsError correction codesFalse accept rateFuzzy commitmentHomogeneous regionsInformation-theoretic analysisIris biometrics
Engineering main heading:Biometrics
  • ISSN: 20474938
  • Source Type: Journal
  • Original language: English
  • DOI: 10.1049/iet-bmt.2016.0061
  • Document Type: Article
  • Publisher: Institution of Engineering and Technology

  Adamovic, S.; School of Informatics and Computing, Singidunum University, Belgrade, Serbia;
© Copyright 2017 Elsevier B.V., All rights reserved.

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