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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
| 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
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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