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Article:An Evaluation of Palm Print Recognition Techniques using DCT, Haar Transform and DCT Wavelets and their Performance with Fractional Coefficients

by H.B. Kekre, Tanuja K. Sarode, Aditya A. Tirodkar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 32 - Number 1
Year of Publication: 2011
Authors: H.B. Kekre, Tanuja K. Sarode, Aditya A. Tirodkar
10.5120/3871-5410

H.B. Kekre, Tanuja K. Sarode, Aditya A. Tirodkar . Article:An Evaluation of Palm Print Recognition Techniques using DCT, Haar Transform and DCT Wavelets and their Performance with Fractional Coefficients. International Journal of Computer Applications. 32, 1 ( October 2011), 31-38. DOI=10.5120/3871-5410

@article{ 10.5120/3871-5410,
author = { H.B. Kekre, Tanuja K. Sarode, Aditya A. Tirodkar },
title = { Article:An Evaluation of Palm Print Recognition Techniques using DCT, Haar Transform and DCT Wavelets and their Performance with Fractional Coefficients },
journal = { International Journal of Computer Applications },
issue_date = { October 2011 },
volume = { 32 },
number = { 1 },
month = { October },
year = { 2011 },
issn = { 0975-8887 },
pages = { 31-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume32/number1/3871-5410/ },
doi = { 10.5120/3871-5410 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:18:55.999771+05:30
%A H.B. Kekre
%A Tanuja K. Sarode
%A Aditya A. Tirodkar
%T Article:An Evaluation of Palm Print Recognition Techniques using DCT, Haar Transform and DCT Wavelets and their Performance with Fractional Coefficients
%J International Journal of Computer Applications
%@ 0975-8887
%V 32
%N 1
%P 31-38
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Palm print recognition is a proliferating technique in the ever increasing use of Biometrics for security and identification. Our paper proposes a technique for palm print recognition using the Discrete Cosine Transform, Haar Transform and the DCT Wavelet along with tests related to their fractional coefficients. After experimental observation on a set of 8000 images, we have found their maximum accuracies to be in the range of 94.4% for each transform. Along with discussing each transform used, we demonstrate how partial energy coefficients can increase accuracy with a 99.5% reduction in computation, as can be inferred from our results.

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Index Terms

Computer Science
Information Sciences

Keywords

Palm Print Biometrics Haar DCT Wavelet Kekre

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