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Reseach Article

Implementation Oriened Phase based IRIS Recognition

by Jaydeep N. Kale, Nilesh G. Pardeshi, Vikas N. Nirgude
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 110 - Number 11
Year of Publication: 2015
Authors: Jaydeep N. Kale, Nilesh G. Pardeshi, Vikas N. Nirgude
10.5120/19362-0978

Jaydeep N. Kale, Nilesh G. Pardeshi, Vikas N. Nirgude . Implementation Oriened Phase based IRIS Recognition. International Journal of Computer Applications. 110, 11 ( January 2015), 24-26. DOI=10.5120/19362-0978

@article{ 10.5120/19362-0978,
author = { Jaydeep N. Kale, Nilesh G. Pardeshi, Vikas N. Nirgude },
title = { Implementation Oriened Phase based IRIS Recognition },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 110 },
number = { 11 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 24-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume110/number11/19362-0978/ },
doi = { 10.5120/19362-0978 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:46:06.336300+05:30
%A Jaydeep N. Kale
%A Nilesh G. Pardeshi
%A Vikas N. Nirgude
%T Implementation Oriened Phase based IRIS Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 110
%N 11
%P 24-26
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Phase based image matching is one of the technique which is used for iris recognition. In this technique phase component present in Two dimensional (2D) Discrete Fourier Transform (DFT) of given images are used to determine similarity between two images. This technique can be used for developing applications such as access control system. But here problem is size of iris database. As number of individuals using such application will go on increasing, size of iris database will also go on increasing. This paper discusses the method which is used to address this problem. In this paper 2D Fourier phase code (2D FPC) is used to represent iris information. Instead of storing whole iris image, only 2D FPC is stored in the database which reduces size of required database significantly. This method is evaluated with CASIA iris image database (version 1. 0).

References
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Index Terms

Computer Science
Information Sciences

Keywords

Iris recognition Biometrics 2D DFT.