Abstract In this paper we propose fusion of shape and texture information from 3D face models of persons with the acoustic features extracted from spoken utterances, to improve the performance against imposter and replay attacks. Experiments conducted on two multimodal speaking face corpora, VidTIMIT and AVOZES, allowed less than 2 % EERs to be achieved for imposter attacks, and less than 1% for type-1 replay attacks for multimodal feature fusion of acoustic, shape and texture features. For type-2 replay attacks, more difficult type of spoof attacks, less than 7% EER was achieved.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Face-Voice Authentication Based on 3D Face Models


    Beteiligte:
    Chetty, Girija (Autor:in) / Wagner, Michael (Autor:in)


    Erscheinungsdatum :

    2006-01-01


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Face-Voice Authentication Based on 3D Face Models

    Chetty, G. / Wagner, M. | British Library Conference Proceedings | 2006


    FACE AUTHENTICATION SYSTEM

    SUDO TAKESHI / KOMURA AKIRA | Europäisches Patentamt | 2022

    Freier Zugriff


    Active vision-based face authentication

    Tistarelli, M. / Grosso, E. | British Library Online Contents | 2000


    FACE AUTHENTICATION SYSTEM

    MASUDA MASAKI / KUROKAWA KEISUKE | Europäisches Patentamt | 2022

    Freier Zugriff