Recognition of Hangul Characters with Input Noise

잡음성분을 포함한 한글 문자 인식

  • 장신영 (이화여자대학교 전자계산학과) ;
  • 조동섭 (이화여자대학교 전자계산학과)
  • Published : 1990.11.17

Abstract

This thesis proposes a new scheme for the recognition of presegmented Hangul characters. The proposed approach is rather insensitive to noise and variation by applying 2 dimensional convolution to learning patterns. In this thesis, the hangul recognition neural network is implemented in the basis of this scheme and recognition rate is analyzed in boo cases of learning which are learning by binary patterns and learning by binary patterns and convoluted patterns together.

Keywords