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Authors: Wen-Shiung Chen 1 ; Jen-Chih Li 1 ; Ren-He Jeng 1 ; Lili Hsieh 2 and Sheng-Wen Shih 1

Affiliations: 1 National Chi Nan University, Taiwan ; 2 Hsiuping Institute of Technology, Taiwan

Keyword(s): Biometrics, Non-linear Normalization, Law of Cosine.

Abstract: In biometrics, human iris recognition provides a high-level security. However, the size of eye pupil always varies with different illumination, resulting in the iris texture deformation. Thus, how to precisely predict the deformation degree of the iris is an important issue. A fast algorithm simply using the law of cosine is proposed to make Yuan and Shi’s non-linear normalization model used in iris recognition suitable for real-time personal authentication applications.

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Paper citation in several formats:
Chen, W.; Li, J.; Jeng, R.; Hsieh, L. and Shih, S. (2010). FAST NON-LINEAR NORMALIZATION ALGORITHM FOR IRIS RECOGNITION. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 2: VISAPP; ISBN 978-989-674-029-0; ISSN 2184-4321, SciTePress, pages 507-510. DOI: 10.5220/0002840905070510

@conference{visapp10,
author={Wen{-}Shiung Chen. and Jen{-}Chih Li. and Ren{-}He Jeng. and Lili Hsieh. and Sheng{-}Wen Shih.},
title={FAST NON-LINEAR NORMALIZATION ALGORITHM FOR IRIS RECOGNITION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 2: VISAPP},
year={2010},
pages={507-510},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002840905070510},
isbn={978-989-674-029-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 2: VISAPP
TI - FAST NON-LINEAR NORMALIZATION ALGORITHM FOR IRIS RECOGNITION
SN - 978-989-674-029-0
IS - 2184-4321
AU - Chen, W.
AU - Li, J.
AU - Jeng, R.
AU - Hsieh, L.
AU - Shih, S.
PY - 2010
SP - 507
EP - 510
DO - 10.5220/0002840905070510
PB - SciTePress