Analysis of the Improvement on Textural Information in Human Iris Recognition-Reference-Cited by-同舟云学术

Analysis of the Improvement on Textural Information in Human Iris Recognition

Published:2017 Issue: Volume: Page:373-376
ISSN:1680-0737
Container-title:VII Latin American Congress on Biomedical Engineering CLAIB 2016, Bucaramanga, Santander, Colombia, October 26th -28th, 2016
language:
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Author:

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

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-4086-3_94

Reference15 articles.

1. Wild P., H. Hofbauer, J. Ferryman, and A. Uhl. (2015) Segmentation-level fusion for iris recognition, in BIOSIG.2015 International Conference of the. IEEE, 1–6.

2. Uhl A., Wild P. (2013) Fusion of Iris Segmentation Results. CIARP 2013. Part II, LNCS 8259, 310–317.

3. Colores J. M., Garcia V. M., Ramirez A. A., Perez M. H. (2011) Iris image evaluation for non-cooperative biometric iris recognition system. MICAI 2011, Part II, LNAI 7095:499–509.

4. Sanchez-Gonzalez Y., Chacon-Cabrera Y., Garea-Llano E. (2014) A Comparison of Fused Segmentation Algorithms for Iris Verification. CIARP 2014, LNCS 8827:112–119.

5. Garea. E., Colores J.M., García M S. Zamudio L.M., Ramírez. (2015) Cross-sensor iris verification applying robust fused segmentation algorithms, IEEE. Proceedings of. ICB 2015.

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