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Conference Papers The 8th International Conference on Signal Image Technology & Internet based systems Year : 2012

Measuring the quality of iris segmentation for improved iris recognition performance

Abstract

In this paper, we present three versions of an open source software for biometric iris recognition called OSIRIS_V2, OSIRIS_V3, OSIRIS_V4 which correspond to different implementations of J. Daugman's approach. The experimental results on the database ICE2005 show that OSIRIS_V4 is the most reliable on difficult images while OSIRIS_V2 is the fastest. So, we propose a novel strategy for iris recognition using OSIRIS_V2 for good quality images and OSIRIS_V4 when the quality of the segmentation of OSIRIS_V2 is not sufficient to ensure good performance. To this end, we measure the quality of an iris segmentation thanks to a GMM model trained on good quality iris texture and we use a threshold on this quality value to shift between the 2 versions of OSIRIS. We show on ICE2005 database how the choice of this threshold value allows compromising between performance and processing speed of the complete process.
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Dates and versions

hal-00794293 , version 1 (25-02-2013)

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Raida Hentati, Bernadette Dorizzi, Yassine Aoudni, Mohamed Abid. Measuring the quality of iris segmentation for improved iris recognition performance. The 8th International Conference on Signal Image Technology & Internet based systems, Nov 2012, Naples, Italy. pp.110 -117, ⟨10.1109/SITIS.2012.27⟩. ⟨hal-00794293⟩
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