Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/21526
Title: Palmprint recognition using Fisher's linear discriminant
Authors: Wu, XQ
Wang, KQ
Zhang, D 
Keywords: Biometrics
Fisher's linear discriminant
Linear projection
Palmprint recognition
Issue Date: 2003
Source: International Conference on Machine Learning and Cybernetics, 2003, v. 5, p. 3150-3154 How to cite?
Abstract: In this paper, a novel method for palmprint recognition is proposed. In this method, each pixel of a palmprint image is considered as a coordinate in a high-dimensional image space. A linear projection based on Fisher's linear discriminant (FLD) is used to project palmprints from this high-dimensional space to a significantly lower dimensional feature space, in which the ratio of the determinant of the between-class scatter to that of the within-class scatter is maximized. High accuracies of 99% and 99.2% have been obtained in one-to-one matching and one-to-300 matching test respectively and the speed of this method is rapid enough for real-time palmprint recognition.
Description: 2003 International Conference on Machine Learning and Cybernetics, Xi'an, 2-5 November 2003
URI: http://hdl.handle.net/10397/21526
ISBN: 0-7803-7865-2
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