|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 32 - Issue 1 |
| Published: October 2011 |
| Authors: H.B. Kekre, Tanuja K. Sarode, Aditya A. Tirodkar |
10.5120/3871-5410
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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 },
year = { 2011 },
volume = { 32 },
number = { 1 },
pages = { 31-38 },
doi = { 10.5120/3871-5410 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2011
%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%T
%J International Journal of Computer Applications
%V 32
%N 1
%P 31-38
%R 10.5120/3871-5410
%I Foundation of Computer Science (FCS), NY, USA
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.