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Improved Iris Recognition using Discrete Fourier Transform

Published on May 2013 by Jaydeep N. Kale, Nilesh G. Pardeshi, Vikas N. Nirgude
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International Conference on Recent Trends in Engineering and Technology 2013
Foundation of Computer Science USA
ICRTET - Number 2
May 2013
Authors: Jaydeep N. Kale, Nilesh G. Pardeshi, Vikas N. Nirgude
6ce7203d-49ef-404f-8113-edb10d70e2ab

Jaydeep N. Kale, Nilesh G. Pardeshi, Vikas N. Nirgude . Improved Iris Recognition using Discrete Fourier Transform. International Conference on Recent Trends in Engineering and Technology 2013. ICRTET, 2 (May 2013), 33-38.

@article{
author = { Jaydeep N. Kale, Nilesh G. Pardeshi, Vikas N. Nirgude },
title = { Improved Iris Recognition using Discrete Fourier Transform },
journal = { International Conference on Recent Trends in Engineering and Technology 2013 },
issue_date = { May 2013 },
volume = { ICRTET },
number = { 2 },
month = { May },
year = { 2013 },
issn = 0975-8887,
pages = { 33-38 },
numpages = 6,
url = { /proceedings/icrtet/number2/11773-1325/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Trends in Engineering and Technology 2013
%A Jaydeep N. Kale
%A Nilesh G. Pardeshi
%A Vikas N. Nirgude
%T Improved Iris Recognition using Discrete Fourier Transform
%J International Conference on Recent Trends in Engineering and Technology 2013
%@ 0975-8887
%V ICRTET
%N 2
%P 33-38
%D 2013
%I International Journal of Computer Applications
Abstract

This paper presents efficient algorithm for iris recognition using Two dimensional (2D) Discrete Fourier Transform (DFT) and illustrate how increased iris region improves performance. Phase components present in 2D DFTs of given images are used to determine similarity between two images. Algorithm is evaluated with CASIA iris image databases (version 1. 0) and it clearly demonstrates that the use of phase components of iris images help to achieve highly accurate iris recognition. By experimentation, it is observed that instead of considering only lower half part of iris, in addition if we consider the portion present in upper half part of iris then it decreases False Match Rate (FMR) significantly as effective region available for iris comparison is increased. Decrease in FMR results in decrease in error rate (EER).

References
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Index Terms

Computer Science
Information Sciences

Keywords

Iris Recognition Biometrics 2d Dft