This paper describes a multiple classifier configuration for high performance off-line handwritten character recognition applications. Along with a conventional scanning n-tuple classifier (or sn-tuple) implementation, three other sn-tuple systems have been used which are trained using a binary feature set extracted from the contour chain-codes using a novel decomposition technique. The overall accuracy thus achievable by the proposed scheme is much higher than most other classification systems available and the added complexity (over conventional sn-tuple system) is minimal.


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    Titel :

    Bit plane decomposition and the scanning n-tuple classifier


    Beteiligte:
    Hoque, S. (Autor:in) / Sirlantzis, K. (Autor:in) / Fairhurst, M.C. (Autor:in)


    Erscheinungsdatum :

    01.01.2002


    Format / Umfang :

    259338 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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