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Pattern Analysis and Applications
Published in: Pattern Analysis and Applications 4/2015

01-11-2015 | Short Paper

Face and palmprint multimodal biometric systems using Gabor–Wigner transform as feature extraction

Authors: Nirmala Saini, Aloka Sinha

Published in: Pattern Analysis and Applications | Issue 4/2015

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Abstract

This paper explores different multimodal biometric systems based on Gabor–Wigner transform (GWT) for subject recognition. This transform provides a simultaneous analysis of space and frequency components of a biometric image. GWT was initially proposed in the literature for signal analysis. In this technique, the GWT is utilized for extraction of feature vectors from different biometric modalities. An optimization technique, particle swarm optimization, is then used to select the dominant features from the feature vectors. This technique not only improves the performance of the system but also reduces the dimension of the obtained feature vectors. A detailed study has been carried out to investigate the fusion of face and palmprint images at different levels. The receiver operating characteristic curve and the equal error rate are used to evaluate the performance of the technique.
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Metadata
Title
Face and palmprint multimodal biometric systems using Gabor–Wigner transform as feature extraction
Authors
Nirmala Saini
Aloka Sinha
Publication date
01-11-2015
Publisher
Springer London
Published in
Pattern Analysis and Applications / Issue 4/2015
Print ISSN: 1433-7541
Electronic ISSN: 1433-755X
DOI
https://doi.org/10.1007/s10044-014-0414-6

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