Iris-Biometric fuzzy commitment schemes under signal degradation

Authors:
C. Rathgeb;A. Uhl
Affiliations:
Multimedia Signal Processing and Security Lab. Department of Computer Sciences, University of Salzburg, Salzburg, Austria;Multimedia Signal Processing and Security Lab. Department of Computer Sciences, University of Salzburg, Salzburg, Austria
Venue:
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
Year:
2012

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Abstract

Low intra-class variability at high inter-class variability is considered a fundamental premise of biometric template protection, i.e. it is believed that biometric traits need to be captured under favorable conditions in order to provide practical recognition rates. In this work the impact of blur and noise to fuzzy commitment schemes is investigated and is compared to the impact observed on the accuracy of the underlying recognition scheme. Iris textures are successively blurred and noised in order to measure the robustness of iris-biometric fuzzy commitment schemes.