@inproceedings{007a9e3cfe4a4675a7e1a9ce72c54865,
title = "Fast non-linear normalization algorithm for iris recognition",
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 realtime personal authentication applications.",
keywords = "Biometrics, Law of cosine, Non-linear Normalization",
author = "Chen, \{Wen Shiung\} and Li, \{Jen Chih\} and Jeng, \{Ren He\} and Lili Hsieh and Shih, \{Sheng Wen\}",
year = "2010",
language = "English",
isbn = "9789896740283",
series = "VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications",
publisher = "Unavailable",
pages = "507--510",
booktitle = "VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications",
note = "5th International Conference on Computer Vision Theory and Applications, VISAPP 2010 ; Conference date: 17-05-2010 Through 21-05-2010",
}