Custom Design of JPEG Quantisation Tables for Compressing Iris Polar Images to Improve Recognition Accuracy

Authors:
Mario Konrad;Herbert Stögner;Andreas Uhl
Affiliations:
School of Communication Engineering for IT, Carinthia Tech Institute, Austria;School of Communication Engineering for IT, Carinthia Tech Institute, Austria;School of Communication Engineering for IT, Carinthia Tech Institute, Austria and 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

Custom JPEG quantisation matrices are proposed to be used in the context of compressing iris polar images within iris recognition. These matrices are obtained by employing a Genetic algorithm for the corresponding optimisation. Superior matching results in iris recognition in terms of average Hamming distance and improved ROC are found as compared to the use of the default JPEG quantisation table.