The elements of multimodal authentication along with system models are presented. These include the machine experts as well as machine supervisors. In particular, fingerprint and speech based systems serve as illustration of a mobile authentication application. A novel signal adaptive supervisor, based on the input biometric signal quality, is evaluated. Experimental results on data collected from mobile telephones are reported; they demonstrate the benefits of the proposed scheme.


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    Titel :

    Multimodal biometric authentication using quality signals in mobile communications


    Beteiligte:


    Erscheinungsdatum :

    2003-01-01


    Format / Umfang :

    1065689 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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