대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2006년도 심포지엄 논문집 정보 및 제어부문
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- Pages.129-131
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- 2006
문자인식 시스템을 위한 신경망 입력패턴 생성에 관한 연구
A Study on Input Pattern Generation of Neural-Networks for Character Recognition
- 발행 : 2006.04.29
초록
The performances of neural network systems mainly depend on the kind and the number of input patterns for its training. Hence, the kind of input patterns as well as its number is very important for the character recognition system using back-propagation network. The more input patters are used, the better the system recognizes various characters. However, training is not always successful as the number of input patters increases. Moreover, there exists a limit to consider many input patterns of the recognition system for cursive script characters. In this paper we present a new character recognition system using the back-propagation neural networks. By using an additional neural network, an input pattern generation method is provided for increasing the recognition ratio and a successful training. We firstly introduce the structure of the proposed system. Then, the character recognition system is investigated through some experiments.