Title: Multispectral palmprint recognition using Image-Based Linear Discriminant Analysis

Authors: Jin-Rong Cui

Addresses: Bio-Computing Research Center, Harbin Institute of Technology, Shen Zhen Graduate School, Shen Zhen 518055, China

Abstract: In order to improve the accuracy of palmprint recognition, multispectral imaging has been employed to acquire more discriminative information. But how to use the multispectral information sufficiently is a problem to be solved. In this paper we using the Image-Based Linear Discriminant Analysis (IBLDA) and fusing the four bands palmprint images. We divide the four bands palmprint images into two groups and then construct a complex matrix using the two bands of every group and did the feature level fusion for each group respectively. The experiment shows that a higher recognition rate can be achieved when we used IBLDA method.

Keywords: multispectral imaging; palmprint recognition; IBLDA; image-based linear discriminant analysis; feature level fusion; matching score level fusion; biometrics.

DOI: 10.1504/IJBM.2012.046244

International Journal of Biometrics, 2012 Vol.4 No.2, pp.106 - 115

Received: 02 Mar 2011
Accepted: 12 Jul 2011

Published online: 25 Mar 2012 *

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