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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    Title :

    On-line cursive Kanji character recognition as stroke correspondence problem


    Contributors:
    Wakahara, T. (author) / Suzuki, A. (author) / Nakajima, N. (author) / Miyahara, S. (author) / Odaka, K. (author)


    Publication date :

    1995-01-01


    Size :

    545461 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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