On combining selective best bits of iris-codes

Authors:
Christian Rathgeb;Andreas Uhl;Peter Wild
Affiliations:
Department of Computer Sciences, University of Salzburg, Salzburg, Austria;Department of Computer Sciences, University of Salzburg, Salzburg, Austria;Department of Computer Sciences, University of Salzburg, Salzburg, Austria
Venue:
BioID'11 Proceedings of the COST 2101 European conference on Biometrics and ID management
Year:
2011

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Abstract

This paper describes a generic fusion technique for iris recognition at bit-level we refer to as Selective Bits Fusion. Instead of storing multiple biometric templates for each algorithm, the proposed approach extracts most discriminative bits from multiple algorithms into a new template being even smaller than templates for individual algorithms. Experiments for three individual iris recognition algorithms on the open CASIA-V3-Interval iris database illustrate the ability of this technique to improve accuracy and processing time simultaneously. In all tested configurations Selective Bits Fusion turned out to be more accurate than fusion using the Sum Rule while being about twice as fast. The design of the new template allows explicit control of processing time requirements and introduces a tradeoff between time and accuracy of biometric fusion, which is highlighted in this work.