Liveness Detection Using Cross-Modal Correlations in Face-Voice Person Authentication

Girija Chetty, Michael Wagner

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    14 Citations (Scopus)

    Abstract

    In this paper we show the potential of two new features as powerful anti-spoofing measures for face-voice person authentication systems. The features based on latent semantic analysis (LSA) and canonical correlation analysis (CCA), enhance the performance of the authentication system in terms of better anti-imposture abilities and guard against video replay attacks, which is a challenging type of spoof attack. Experiments conducted on 2 speaking-face databases, VidTIMIT and UCBN, show around 42% improvement in error rate with CCA features and 61% improvement with LSA features over feature-level fusion of face-voice feature vectors.
    Original languageEnglish
    Title of host publication6th Interspeech 2005 and 9th European Conference on Speech Communication and Technology (EUROSPEECH)
    EditorsTrancoso Flurui
    Place of PublicationGeneva
    PublisherInternational Speech Communication Association
    Pages2181-2184
    Number of pages4
    ISBN (Print)9781604234480
    Publication statusPublished - 2005
    Event6th Interspeech 2005 and 9th European Conference on Speech Communication and Technology (EUROSPEECH 2005) - Lisboa, Lisboa, Portugal
    Duration: 4 Sep 20058 Sep 2005

    Conference

    Conference6th Interspeech 2005 and 9th European Conference on Speech Communication and Technology (EUROSPEECH 2005)
    CountryPortugal
    CityLisboa
    Period4/09/058/09/05

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  • Cite this

    Chetty, G., & Wagner, M. (2005). Liveness Detection Using Cross-Modal Correlations in Face-Voice Person Authentication. In T. Flurui (Ed.), 6th Interspeech 2005 and 9th European Conference on Speech Communication and Technology (EUROSPEECH) (pp. 2181-2184). International Speech Communication Association. https://www.isca-speech.org/archive/archive_papers/interspeech_2005/i05_2181.pdf