대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
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The Recognition of Korean Characters by a Neural Network

  • 김상우 (서울대학교 공과대학 제어계측공학과) ;
  • 전윤호 (서울대학교 공과대학 제어계측공학과) ;
  • 최종호 (서울대학교 공과대학 제어계측공학과)
  • Kim, Sang-Woo (Dept. of Control & Instrumentation Eng., Seoul National University) ;
  • Jeon, Yun-Ho (Dept. of Control & Instrumentation Eng., Seoul National University) ;
  • Choi, Chong-Ho (Dept. of Control & Instrumentation Eng., Seoul National University)
  • 발행 : 1989.07.21
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초록

A study for the recognition of the Korean characters by a neural network is presented. To reduce the dimension of the input image data, DC components are extracted from each input image and used as input to the neural net. A multi-layer perceptron with one hidden layer was trained with back-error propagation training algorithm. Its performance is tested for 24 ${\times}$ 24 binary images of Korean characters and the results of several experiments are presented.

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