Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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A study on the Recognition of Hand-written Characters and Arabic numbers by Neural Networks

신경회로망을 이용한 필기체 한글 자모음 및 숫자인식에 관한 연구

  • Oh, Dong-Su (Dept. of Electrical Engineering Kon-Kuk Univ.) ;
  • Lee, Eun-Un (Dept. of Electrical Engineering Kon-Kuk Univ.) ;
  • Yoo, Jae-Guen (Dept. of Electrical Engineering Kon-Kuk Univ.) ;
  • Nam, Moon-Hyun (Dept. of Electrical Engineering Kon-Kuk Univ.)
  • 오동수 (건국대학교 전기공학과) ;
  • 이은철 (건국대학교 전기공학과) ;
  • 유재근 (건국대학교 전기공학과) ;
  • 남문현 (건국대학교 전기공학과)
  • Published : 1991.07.18
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Abstract

In this paper, our study for the recognition of Hand-written Korean characters, Arabic numbers and alphabets by neural netwoks. This System extracts feature of character by using the MESH feature point of handwritten character, Arabic numbers and alphabets. To reduce the input image data, features are extracted from each input images. A MLP(multi-layer perceptron) with one hidden layer was trained with a modified BEP(back error propagation) algorithm. This method extracts feature sets of the characters directly from the scanner and can enhance computation speed without using the special preprocesses such as size normalization, smoothing, and thinning.

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