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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    Title :

    Bit plane decomposition and the scanning n-tuple classifier


    Contributors:


    Publication date :

    2002-01-01


    Size :

    259338 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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