A Novel Privacy Protection Scheme for Iris Identification-Reference-Cited by-同舟云学术

A Novel Privacy Protection Scheme for Iris Identification

Published:2019-09-09 Issue:4 Volume:109 Page:2411-2425
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Lei Zhang^ORCID,Lili Yu,Bin Wang,Xingchao Bian

Funder

University Nursing Program for Young Scholars with Creative Talents in Heilongjiang Province

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

http://link.springer.com/content/pdf/10.1007/s11277-019-06688-1.pdf

Reference26 articles.

1. Marciniak, T., Dąbrowski, A., Chmielewska, A., & Krzykowska, A. A. (2014). Selection of parameters in iris recognition system. Multimedia Tools & Applications,68(1), 193–208.

2. Li, C., Zhou, W., & Yuan, S. (2015). Iris recognition based on a novel variation of local binary pattern. Visual Computer,31(10), 1419–1429.

3. Jillela, R. R., & Ross, A. (2015). Segmenting iris images in the visible spectrum with applications in mobile biometrics (pp. 4–16). Amsterdam: Elsevier.

4. Gunasekaran, K., Priya, S. A., Saravanan, D., & Akilan, P. (2014). Privacy preserving multimodal biometrics in online passport recognition. Biometrics & Bioinformatics,6(3), 94.

5. Uludag, U., Pankanti, S., Prabhakar, S., & Jain, A. K. (2004). Biometric cryptosystems: issues and challenges. Proceedings of the IEEE,92(6), 948–960.

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