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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
© 2011 by IJCA Journal
Number 1 - Article 1
Year of Publication: 2011
Dr. H. B. Kekre
Dr.Tanuja K. Sarode
Aditya A. Tirodkar

Ramakrishna.M, Kishore Kumar.M and Addanki Purna Ramesh. Article:Hardware Acceleration of Histogram Equalization and Image Sharpening Filter on NIOS-II Processor Based SOC on FPGA. International Journal of Computer Applications 31(1):48-55, October 2011. Full text available. BibTeX

	author = {Ramakrishna.M and Kishore Kumar.M and Addanki Purna Ramesh},
	title = {Article:Hardware Acceleration of Histogram Equalization and Image Sharpening Filter on NIOS-II Processor Based SOC on FPGA},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {31},
	number = {1},
	pages = {48-55},
	month = {October},
	note = {Full text available}


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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