The recent development of new terminals such as phones, mobile computers, e-books, etc, raises the needs for new interface modalities, in order to replace or complement the traditional mouse/keyboard interface. Ideally, these new interfaces should use limited computing resources and should be easy to adapt to a specific user and to a large variety of user needs. We propose here a new handwriting recognition system that is an attempt to handle these constraints. We evaluate its performances and ability to adapt to new users on a part of the Unipen database.


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    Titel :

    Stroke level HMMs for on-line handwriting recognition


    Beteiligte:
    Artieres, T. (Autor:in) / Gallinari, P. (Autor:in)


    Erscheinungsdatum :

    01.01.2002


    Format / Umfang :

    300720 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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