Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/22564
Title: Palmprint recognition using eigenpalms features
Authors: Lu, G
Zhang, D 
Wang, K
Keywords: Eigenpalms
K-L transform
Palmprint recognition
Issue Date: 2003
Source: Pattern recognition letters, 2003, v. 24, no. 9-10, p. 1463-1467 How to cite?
Journal: Pattern Recognition Letters 
Abstract: In this paper, we propose a palmprint recognition method based on eigenspace technology. By means of the Karhunen-Loeve transform, the original palmprint images are transformed into a small set of feature space, called "eigenpalms" which are the eigenvectors of the training set and can represent the principle components of the palmprints quite well. Then, the eigenpalm features are extracted by projecting a new palmprint image into the subspace spanned by the "eigenpalms" and applied to palmprint recognition with a Euclidean distance classifier. Experimental results illustrate the effectiveness of our method in terms of the recognition rate.
URI: http://hdl.handle.net/10397/22564
ISSN: 0167-8655
DOI: 10.1016/S0167-8655(02)00386-0
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