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Fuzzy Commitment Scheme for Masked Iris Codes

by Osama Ouda
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 79 - Number 11
Year of Publication: 2013
Authors: Osama Ouda
10.5120/13782-1915

Osama Ouda . Fuzzy Commitment Scheme for Masked Iris Codes. International Journal of Computer Applications. 79, 11 ( October 2013), 1-5. DOI=10.5120/13782-1915

@article{ 10.5120/13782-1915,
author = { Osama Ouda },
title = { Fuzzy Commitment Scheme for Masked Iris Codes },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 79 },
number = { 11 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume79/number11/13782-1915/ },
doi = { 10.5120/13782-1915 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:52:42.842044+05:30
%A Osama Ouda
%T Fuzzy Commitment Scheme for Masked Iris Codes
%J International Journal of Computer Applications
%@ 0975-8887
%V 79
%N 11
%P 1-5
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The fuzzy commitment scheme is one of most popular biometric cryptosystems that aim at securing cryptographic keys using biometrics. Because of the high recognition accuracy exhibited by the iris, iris-based fuzzy commitment schemes, among other modalities, provide the most practical performance rates. Unfortunately, existing iris-based fuzzy commitment schemes do not incorporate noise masks, generated along with iris-codes to highlight unwanted regions of the iris, because there is no way to know the mask of the decoding iris sample in advance. Therefore, the decoding accuracy of iris-based fuzzy commitment schemes is much less than the recognition accuracy of the underlying iris recognition system. This paper presents an iris-based fuzzy commitment scheme that uses the noise mask of the encoding iris sample at both encoding and decoding stages. Experimental results show that the proposed scheme provides a remarkable improvement in the decoding accuracy of iris-based fuzzy commitment schemes.

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Index Terms

Computer Science
Information Sciences

Keywords

Biometric Cryptosyatems Fuzzy Commitment Scheme Iris Codes

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