FAST NON-LINEAR NORMALIZATION ALGORITHM FOR IRIS RECOGNITION

Wen-Shiung Chen, Jen-Chih Li, Ren-He Jeng, Lili Hsieh, Sheng-Wen Shih

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.

References

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Paper Citation


in Harvard Style

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 - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 507-510. DOI: 10.5220/0002840905070510


in Bibtex Style

@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 - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={507-510},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002840905070510},
isbn={978-989-674-029-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - FAST NON-LINEAR NORMALIZATION ALGORITHM FOR IRIS RECOGNITION
SN - 978-989-674-029-0
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