전자공학회논문지B (Journal of the Korean Institute of Telematics and Electronics B)
- 제31B권1호
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- Pages.81-87
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- 1994
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- 1016-135X(pISSN)
자소 인식 신경망을 이용한 한글 문자 인식에 관한 연구
A Study on Hanguel Character Recognition using GRNN
초록
This paper describes the recognition of the printed Hanguel(Korean Character) using Neural Network. In this study, Neural network is used in only specific classification. Hanguel is classified globally by using template matching. Neural network is learned using the segmented grapheme. The grapheme of Hanguel is segmented using the structural method. Neural network is constructed, which is corresponded to the kind and the shape of graphemes. Each neural network is multi layer perceptron. The learning algorithm is the modified error back propagation using descending epsilon method. With five test character sets, the recognition rate of 94.95% is obtained.
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