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Authors: Nadia Othman 1 ; Nesma Houmani 2 and Bernadette Dorizzi 1

Affiliations: 1 Télécom SudParis, France ; 2 ESPCI-ParisTech, France

ISBN: 978-989-8565-41-9

ISSN: 2184-4313

Keyword(s): Iris Recognition, Video, Quality, Super Resolution, Fusion of Images.

Abstract: In this paper we address the problem of iris recognition at a distance and on the move. We introduce two novel quality measures, one computed Globally (GQ) and the other Locally (LQ), for fusing at the pixel level the frames (after a bilinear interpolation step) extracted from the video of a given person. These measures derive from a local GMM probabilistic characterization of good quality iris texture. Experiments performed on the MBGC portal database show a superiority of our approach compared to score-based or average image-based fusion methods. Moreover, we show that the LQ-based fusion outperforms the GQ-based fusion with a relative improvement of 4.79% at the Equal Error Rate functioning point.

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Paper citation in several formats:
Othman, N.; Houmani, N. and Dorizzi, B. (2013). Improving Video-based Iris Recognition Via Local Quality Weighted Super Resolution.In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: BTSA, (ICPRAM 2013) ISBN 978-989-8565-41-9, ISSN 2184-4313, pages 623-629. DOI: 10.5220/0004342306230629

@conference{btsa13,
author={Nadia Othman. and Nesma Houmani. and Bernadette Dorizzi.},
title={Improving Video-based Iris Recognition Via Local Quality Weighted Super Resolution},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: BTSA, (ICPRAM 2013)},
year={2013},
pages={623-629},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004342306230629},
isbn={978-989-8565-41-9},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: BTSA, (ICPRAM 2013)
TI - Improving Video-based Iris Recognition Via Local Quality Weighted Super Resolution
SN - 978-989-8565-41-9
AU - Othman, N.
AU - Houmani, N.
AU - Dorizzi, B.
PY - 2013
SP - 623
EP - 629
DO - 10.5220/0004342306230629

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