Improving Compressed Iris Recognition Accuracy Using JPEG2000 RoI Coding

Authors:
J. Hämmerle-Uhl;C. Prähauser;T. Starzacher;Andreas Uhl
Affiliations:
Department of Computer Sciences, Salzburg University, Austria;Department of Computer Sciences, Salzburg University, Austria;Department of Computer Sciences, Salzburg University, Austria;Department of Computer Sciences, Salzburg University, Austria
Venue:
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Year:
2009

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Abstract

The impact of using JPEG2000 region of interest coding on the matching accuracy of iris recognition systems is investigated. In particular, we compare the matching scores as obtained by a concrete recognition system when using JPEG2000 compression of rectilinear iris images with and without region of interest coding enabled. The region of interest is restricted to the iris texture area plus the pupil region. It turns out that average matching scores can be improved and that the number of false negative matches is significantly decreased using region of interest coding as compared to plain JPEG2000 compression.