In structural character recognition, a character is usually viewed as a set of strokes and the spatial relationships between them. In this paper, we propose a stochastic modeling scheme by which strokes as well as relationships are represented by utilizing the hierarchical characteristics of target characters. Based on the proposed scheme, a handwritten Hangul (Korean) character recognition system is developed. The effectiveness of the proposed scheme is shown through experimental results conducted on a public database.


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    Titel :

    Handwritten Hangul character recognition with hierarchical stochastic character representation


    Beteiligte:
    Kyung-Won Kang, (Autor:in) / Kim, J.H. (Autor:in)


    Erscheinungsdatum :

    2003-01-01


    Format / Umfang :

    382240 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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