@article{oai:ous.repo.nii.ac.jp:00000915,
 author = {大倉, 充 and Ohkura, Mitsuru and 大橋, 一輝 and Oh-hashi, Kazuki and 塩野, 充 and Shiono, Mitsuru},
 journal = {岡山理科大学紀要. A, 自然科学, Bulletin of Okayama University of Science. A, Natural Sciences},
 month = {Mar},
 note = {P(論文), A method based on the concept of fuzzy sets for handprinted KANJI character recognition is proposed in this paper. KANJI characters can be viewed as a collection of several feature patterns. Since the feature patterns under consideration here are fuzzy in nature, the concept of fuzzy sets is utilized. Three kinds of feature patterns are used and the pattern similarity is used as a grade of membership function between an input pattern and a templet. Category determination is made by the function of fuzzy entropy which is one of the measures of fuzziness of a fuzzy set. 7 sets (4 categories/set) of similar KANJI characters in ETL-9 (200 variations/category) are used as the test patterns.},
 pages = {329--340},
 title = {ファジィ・エントロピーによる手書き類似漢字識別},
 volume = {26},
 year = {1991},
 yomi = {オオクラ, ミツル and オオハシ, カズキ and シオノ, ミツル}
}