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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
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