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Reseach Article

Color Iris Authentication using Color Models

by Abbhilasha S. Narote, Laxman M. Waghmare
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 159 - Number 2
Year of Publication: 2017
Authors: Abbhilasha S. Narote, Laxman M. Waghmare
10.5120/ijca2017912873

Abbhilasha S. Narote, Laxman M. Waghmare . Color Iris Authentication using Color Models. International Journal of Computer Applications. 159, 2 ( Feb 2017), 23-27. DOI=10.5120/ijca2017912873

@article{ 10.5120/ijca2017912873,
author = { Abbhilasha S. Narote, Laxman M. Waghmare },
title = { Color Iris Authentication using Color Models },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2017 },
volume = { 159 },
number = { 2 },
month = { Feb },
year = { 2017 },
issn = { 0975-8887 },
pages = { 23-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume159/number2/26974-2017912873/ },
doi = { 10.5120/ijca2017912873 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:04:40.083487+05:30
%A Abbhilasha S. Narote
%A Laxman M. Waghmare
%T Color Iris Authentication using Color Models
%J International Journal of Computer Applications
%@ 0975-8887
%V 159
%N 2
%P 23-27
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Iris authentication is a popular method where persons are accurately authenticated. During authentication phase the features are extracted which are unique. Iris authentication uses IR images for authentication. This proposed work uses color iris images for authentication. Experiments are performed using ten different color models. This paper is focused on performance evaluation of color models used for color iris authentication. This proposed method is more reliable which cope up with different noises of color iris images. The experiments reveals the best selection of color model used for iris authentication. The proposed method is validated on UBIRIS noisy iris database. The results demonstrate that the accuracy is 92.1%, equal error rate of 0.072 and computational time is 0.039 seconds.

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Index Terms

Computer Science
Information Sciences

Keywords

Biometrics iris recognition authentication feature extraction matching.