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 |
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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.