Bimodal biometric verification based on face and lips

Carlos M. Travieso, Jianguo Zhang, Paul Miller, Jesus B. Alonso, Miguel A. Ferrer

    Research output: Contribution to journalArticlepeer-review

    11 Citations (Scopus)

    Abstract

    In this paper, we present a novel approach to person verification by fusing face and lip features. Specifically, the face is modeled by the discriminative common vector and the discrete wavelet transform. Our lip features are simple geometric features based on a lip contour, which can be interpreted as multiple spatial widths and heights from a center of mass. In order to combine these features, we consider two simple fusion strategies: data fusion before training and score fusion after training, working with two different face databases. Fusing them together boosts the performance to achieve an equal error rate as low as 0.4% and 0.28%, respectively, confirming that our approach of fusing lips and face is effective and promising. (C) 2011 Elsevier B.V. All rights reserved.

    Original languageEnglish
    Pages (from-to)2407-2410
    Number of pages4
    JournalNeurocomputing
    Volume74
    Issue number14-15
    DOIs
    Publication statusPublished - Jul 2011

    Keywords

    • Biometrics
    • Lips-based identification
    • Fusion score
    • Image processing
    • RECOGNITION

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