This paper describes a stroke-number and stroke-order free on-line Kanji character recognition method by a joint use of two complementary algorithms of optimal stroke correspondence determination: one dissolves excessive mapping and the other dissolves deficient mapping. Also, three kinds of inter-stroke distances are devised to deal with stroke concatenation or splitting and heavy shape distortion. Only a single reference pattern for each of 2,980 Kanji character categories is generated by using training data composed of 120 patterns written with the correct stroke-number and stroke-order. Recognition tests are made using the training data and two kinds of resting data in the square style and in the cursive style written by 36 different people; recognition rates of 99.5%, 97.6%, and 94.1% are obtained.


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    Titel :

    On-line cursive Kanji character recognition as stroke correspondence problem


    Beteiligte:
    Wakahara, T. (Autor:in) / Suzuki, A. (Autor:in) / Nakajima, N. (Autor:in) / Miyahara, S. (Autor:in) / Odaka, K. (Autor:in)


    Erscheinungsdatum :

    01.01.1995


    Format / Umfang :

    545461 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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