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Iris and Face Verification using Decision Level Fusion Technique

Published on February 2012 by N. D. Kapale, R.N. Kankarale, D.G.Lokhande
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National Conference on Emerging Trends in Computer Science and Information Technology
Foundation of Computer Science USA
NCETCSIT - Number 1
February 2012
Authors: N. D. Kapale, R.N. Kankarale, D.G.Lokhande
e3ec8b2d-97da-43f8-82fe-00c3c4ed162b

N. D. Kapale, R.N. Kankarale, D.G.Lokhande . Iris and Face Verification using Decision Level Fusion Technique. National Conference on Emerging Trends in Computer Science and Information Technology. NCETCSIT, 1 (February 2012), 5-9.

@article{
author = { N. D. Kapale, R.N. Kankarale, D.G.Lokhande },
title = { Iris and Face Verification using Decision Level Fusion Technique },
journal = { National Conference on Emerging Trends in Computer Science and Information Technology },
issue_date = { February 2012 },
volume = { NCETCSIT },
number = { 1 },
month = { February },
year = { 2012 },
issn = 0975-8887,
pages = { 5-9 },
numpages = 5,
url = { /proceedings/ncetcsit/number1/4752-t002/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Emerging Trends in Computer Science and Information Technology
%A N. D. Kapale
%A R.N. Kankarale
%A D.G.Lokhande
%T Iris and Face Verification using Decision Level Fusion Technique
%J National Conference on Emerging Trends in Computer Science and Information Technology
%@ 0975-8887
%V NCETCSIT
%N 1
%P 5-9
%D 2012
%I International Journal of Computer Applications
Abstract

Biometric user authentication techniques have evoked an enormous interest by science, industry and society in the recent past. Scientists and developers have constantly pursued the technology for automated determination or confirmation of the identity of subjects based on measurements of physiological or behavioral traits of humans. The ultimate goal of any biometric user authentication is to adopt the concepts for natural recognition or authentication of subjects, find techniques to automate this process and to implement these techniques in such way that a minimum of authentication errors occur.

References
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  2. Daugman, J. “How Iris Recognition Works”, available at http://www.ncits.org/tc_home/m1htm/docs/m1020 044.pdf.
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  9. Computational Imaging Systems for Iris Recognition, Robert Plemmons, Michael horvatha, Emily Leonhardt, Paul Pauca, Sudhakar Prasad, Stephen Robinson, Harsha Setty, Todd Torgersen, Joeseph van der Gracht, Edward Dowski, Ramkumar Narayanswamyd, Paulo E. X. Silveira, Wake Forest University, University of New Mexico, HoloSpex, Inc. CDM Optics, Inc.
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Index Terms

Computer Science
Information Sciences

Keywords

Biometric Imagefusion multimodal verification PCA