Do multispectral palmprint images be reliable for person identification?

Meraoumia, Abdallah, Chitroub, Salim and Bouridane, Ahmed (2013) Do multispectral palmprint images be reliable for person identification? Multimedia Tools and Applications. ISSN 1380-7501

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Abstract

This paper is concerned with an investigation of multispectral palmprint images for improving person identification by replying to the question: can multispectral palmprint images be reliable for such purpose? Two biometric systems are then proposed. In the first system, each spectral image is aligned and then used for feature extraction using 1D Log-Gabor filter. The features are encoded and Hamming distance is used for matching. The fusion at matching score level is used before the decision making. The second system is based on multiresolution analysis for feature extraction. The spectral images are decomposed into frequency sub-images with different levels of decomposition. The extracted coefficients are used as features. The MGPDF is used for modeling the features and Log-Likelihood scores are used for matching. Fusion at the matching score level is used before decision making. A comparative study between the two systems is then developed. The experimental results are demonstrated using the PolyU multispectral database and the results show that the two proposed systems are more effective when using multispectral images than their monospectral counterpart images.

Item Type:	Article
Additional Information:	Publication date is online publication - unclear if this article will ever appear in print.
Uncontrolled Keywords:	Biometrics, multispectral palmprint images, feature extraction, 1D Log-Gabor filter, multiresolution analysis, discrete wavelet transform, discrete cosine transform, data fusion
Subjects:	G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Becky Skoyles
Date Deposited:	10 Jul 2014 10:10
Last Modified:	13 Oct 2019 00:36
URI:	http://nrl.northumbria.ac.uk/id/eprint/17058

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