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.
On-line cursive Kanji character recognition as stroke correspondence problem
Proceedings of 3rd International Conference on Document Analysis and Recognition ; 2 ; 1059-1064 vol.2
1995-01-01
545461 byte
Conference paper
Electronic Resource
English
On-Line Cursive Kanji Character Recognition as Stroke Correspondence Problem
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