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- W2543149880 abstract "Chinese characters are highly structural such that a syntactical approach for recognition is suitable. For hand-written characters, such an approach experiences problems because of writing style variability. An expert system with machine learning is proposed for the recognition of Chinese characters. The authors adopted concept learning in their system which is intended to tackle the problems such as mutual similarities of characters. >" @default.
- W2543149880 created "2016-11-04" @default.
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- W2543149880 date "2002-12-30" @default.
- W2543149880 modified "2023-09-26" @default.
- W2543149880 title "An expert system for recognizing hand-written Chinese characters" @default.
- W2543149880 cites W1488252886 @default.
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- W2543149880 doi "https://doi.org/10.1109/tencon.1993.320543" @default.
- W2543149880 hasPublicationYear "2002" @default.
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