This paper presents a multi-modal database intended for person authentication from multiple cues. It currently contains three sessions of the same 120 individuals, providing profile and frontal color images, 3D facial representations and many French and some English speech utterances. People were selected for their availability so that new sessions will be easily acquired. Individual recognition performances for speech, profile and 3D facial surface modalities are presented. The combination of these experts is the subject of current research.


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    Title :

    SIC DB: multi-modal database for person authentication


    Contributors:
    Beumier, C. (author) / Acheroy, M. (author)


    Publication date :

    1999-01-01


    Size :

    107851 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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