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Reseach Article

Performance Comparison of IRIS Recognition Techniques using Wavelet Pyramids of Walsh, Haar and Kekre Wavelet Transforms

Published on None 2011 by H.B.Kekre, Sudeep D. Thepade, Juhi Jain, Naman Agrawal
journal_cover_thumbnail
International Conference and Workshop on Emerging Trends in Technology
Foundation of Computer Science USA
ICWET - Number 2
None 2011
Authors: H.B.Kekre, Sudeep D. Thepade, Juhi Jain, Naman Agrawal
ab97936c-b643-4613-8043-aab7e9fbac9e

H.B.Kekre, Sudeep D. Thepade, Juhi Jain, Naman Agrawal . Performance Comparison of IRIS Recognition Techniques using Wavelet Pyramids of Walsh, Haar and Kekre Wavelet Transforms. International Conference and Workshop on Emerging Trends in Technology. ICWET, 2 (None 2011), 20-26.

@article{
author = { H.B.Kekre, Sudeep D. Thepade, Juhi Jain, Naman Agrawal },
title = { Performance Comparison of IRIS Recognition Techniques using Wavelet Pyramids of Walsh, Haar and Kekre Wavelet Transforms },
journal = { International Conference and Workshop on Emerging Trends in Technology },
issue_date = { None 2011 },
volume = { ICWET },
number = { 2 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 20-26 },
numpages = 7,
url = { /proceedings/icwet/number2/2070-aca386/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference and Workshop on Emerging Trends in Technology
%A H.B.Kekre
%A Sudeep D. Thepade
%A Juhi Jain
%A Naman Agrawal
%T Performance Comparison of IRIS Recognition Techniques using Wavelet Pyramids of Walsh, Haar and Kekre Wavelet Transforms
%J International Conference and Workshop on Emerging Trends in Technology
%@ 0975-8887
%V ICWET
%N 2
%P 20-26
%D 2011
%I International Journal of Computer Applications
Abstract

The paper presents performance comparison of Transform Wavelet Pyramid based Iris Recognition techniques using Walsh, Haar and Kekre wavelet transforms. Here Iris Recognition is done using the image feature set extracted from Transform Wavelet Pyramid obtained from Iris images at various levels of decomposition. Performance analysis is done by calculating False Acceptance Rate and Genuine Acceptance Rate. The proposed techniques are tested on an iris image database [16] having 384 images. The results show that Wavelets give better discrimination capability in Iris Recognition at faster query execution speed. The Walsh and Haar Transform Wavelet Pyramid level-5 outperforms other levels of Transform Wavelet Pyramid, because the higher level Wavelets are giving coarse color-texture features while the lower level are representing fine color-texture features which are less useful for discrimination of images in Iris Recognition.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Iris Recognition Walsh Transform Haar Transform Kekre Wavelet Transform Texture Wavelet Pyramid