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Palm Print Recognition using Zernike Moments

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 55 - Number 16
Year of Publication: 2012
Authors:
Subhajit Karar
Ranjan Parekh
10.5120/8839-3069

Subhajit Karar and Ranjan Parekh. Article: Palm Print Recognition using Zernike Moments. International Journal of Computer Applications 55(16):15-19, October 2012. Full text available. BibTeX

@article{key:article,
	author = {Subhajit Karar and Ranjan Parekh},
	title = {Article: Palm Print Recognition using Zernike Moments},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {55},
	number = {16},
	pages = {15-19},
	month = {October},
	note = {Full text available}
}

Abstract

This paper proposes an automated system for recognizing palmprints for biometric identification of individuals. Complex Zernike moments are constructed using a set of complex polynomials which form a complete orthogonal basis set defined on the unit disc. Palmprint images are projected onto the basis set resulting in a set of complex signals. The magnitude of the complex value is computed and a scalar value is derived from it by computing the mean of the vector elements. Classification is done by subtracting the test samples from the mean of the training set. The data set consists of 80 images divided into 4 classes. Accuracy obtained is comparable to the best results reported in literature

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