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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    Title :

    Handwritten Hangul character recognition with hierarchical stochastic character representation


    Contributors:
    Kyung-Won Kang, (author) / Kim, J.H. (author)


    Publication date :

    2003-01-01


    Size :

    382240 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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