Lossless compression of polar iris image data

Authors:
Kurt Horvath;Herbert Stögner;Andreas Uhl;Georg Weinhandel
Affiliations:
School of CEIT, Carinthian University of Applied Sciences, Austria;School of CEIT, Carinthian University of Applied Sciences, Austria;School of CEIT, Carinthian University of Applied Sciences and Department of Computer Sciences, University of Salzburg, Austria;School of CEIT, Carinthian University of Applied Sciences, Austria
Venue:
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Year:
2011

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Abstract

The impact of using different lossless compression algorithms when compressing biometric iris sample data from several public iris databases is investigated. In particular, the application of dedicated lossless image codecs (lossless JPEG, JPEG-LS, PNG, and GIF), lossless variants of lossy codecs (JPEG2000, JPEG XR, and SPIHT), and a few general purpose file compression schemes is compared. We specifically focus on polar iris images (as a result after iris detection, iris extraction, and mapping to polar coordinates). The results are discussed in the light of the recent ISO/IEC FDIS 19794-6 standard and IREX recommendations.