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Custom design of JPEG quantisation tables for compressing iris polar images to improve recognition accuracy

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2009) 5558 LNCS 1091-1101
DOI: 10.1007/978-3-642-01793-3_110
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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. © Springer-Verlag Berlin Heidelberg 2009.

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APA

Konrad, M., Stögner, H., & Uhl, A. (2009). Custom design of JPEG quantisation tables for compressing iris polar images to improve recognition accuracy. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5558 LNCS, pp. 1091–1101). Springer Verlag. https://doi.org/10.1007/978-3-642-01793-3_110

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