A Comparative Study of Robust Segmentation Algorithms for Iris Verification System of High Reliability-Reference-Cited by-同舟云学术

A Comparative Study of Robust Segmentation Algorithms for Iris Verification System of High Reliability

Published:2015 Issue: Volume: Page:156-165
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

García-Vázquez Mireya S.,Garea-Llano Eduardo,Colores-Vargas Juan M.,Zamudio-Fuentes Luis M.,Ramírez-Acosta Alejandro A.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-19264-2_16

Reference22 articles.

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3. Daugman, J.: The importance of being random: statistical principles of iris recognition. Pattern Recogn. 36, 279–291 (2003)

4. Phillips, P., Scruggs, W., Toole, A.: FRVT 2006 and ICE 2006 large-scale results, Technical report, National Institute of Standards and Technology, NISTIR 7408 (2007)

5. Proenca, H., Alexandre, L.: The NICE.I: noisy iris challenge evaluation. In: Proceedings of the IEEE First International Conference on Biometrics: Theory, Applications and Systems, vol. 1, pp. 1–4 (2007)

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