전자공학회논문지B (Journal of the Korean Institute of Telematics and Electronics B)
- 제29B권2호
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- Pages.50-59
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- 1992
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- 1016-135X(pISSN)
신경회로망을 이용한 한글 한자 혼용 문서 인식에 관한 연구
A Study on Korean and Chinese Character Document Reader Using Neural Network
초록
In the most studies of Korean character recognition so far, they first classify the characters to 6 types according to their structures and then recognize the characters by identifying their basic components named
키워드