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http://dx.doi.org/10.3745/JIPS.02.0007

Multimodal Biometric Using a Hierarchical Fusion of a Person's Face, Voice, and Online Signature  

Elmir, Youssef (Dept. of Sciences, University of Bechar)
Elberrichi, Zakaria (EEDIS Lab, Dept. of Computer Science, Djillali Liabes University)
Adjoudj, Reda (EEDIS Lab, Dept. of Computer Science, Djillali Liabes University)
Publication Information
Journal of Information Processing Systems / v.10, no.4, 2014 , pp. 555-567 More about this Journal
Abstract
Biometric performance improvement is a challenging task. In this paper, a hierarchical strategy fusion based on multimodal biometric system is presented. This strategy relies on a combination of several biometric traits using a multi-level biometric fusion hierarchy. The multi-level biometric fusion includes a pre-classification fusion with optimal feature selection and a post-classification fusion that is based on the similarity of the maximum of matching scores. The proposed solution enhances biometric recognition performances based on suitable feature selection and reduction, such as principal component analysis (PCA) and linear discriminant analysis (LDA), as much as not all of the feature vectors components support the performance improvement degree.
Keywords
Hierarchical Fusion; LDA; Multimodal Biometric Fusion; PCA;
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