Developing Iris Recognition System for Smartphone Security-Reference-Cited by-同舟云学术

Developing Iris Recognition System for Smartphone Security

Published:2017-08-22 Issue:12 Volume:77 Page:14579-14603
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Elrefaei Lamiaa A.,Hamid Doaa H.,Bayazed Afnan A.,Bushnak Sara S.,Maasher Shaikhah Y.

Funder

Deanship of Scientific Research (DSR), King Abdulaziz University

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/article/10.1007/s11042-017-5049-3/fulltext.html

Reference50 articles.

1. Adegoke BO, Omidiora EO, Falohun SA, Ojo JA (2013) Iris Segmentation: a survey. Int J Mod Eng Res 3(4):1885–1889

2. Android Developers. https://developer.android.com / Accessed 21 October 2016

3. ARROWS NX F-04G (2015). http://www.fujitsu.com/global/about/resources/news/press-releases/2015/0525-01.html/ Accessed 15 october 2016

4. Azizi A, and Pourreza HR (2009) Efficient IRIS Recognition Through Improvement of Feature Extraction and subset Selection. in (IJCSIS) International Journal of Computer Science and Information Security, 2:(1):arXiv:0906.4789

5. Bengio S, Poh N (2006) Database, Protocol and Tools for Evaluating Score-Level Fusion Algorithms in Biometric Authentication. Pattern Recogn 39(2):223–233. doi: 10.1016/j.patcog.2005.06.011

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