A Neural Network Based Handwritten-Charater Recognition using Binary Wavelet Transform

이진 웨이브렛 변환을 이용한 신경회로망의 필기체 문자 인식

  • 이정문 (강원대학교 제어계측공학과) ;
  • 유경산 (강원대학교 제어계측공학과)
  • Published : 1997.10.31

Abstract

In this paper, we propose a new neural pattern recognition from wavelet transform. We first analysis in BFT(Binary Field Transform) in character image. The proposed neural network and wavelet transform is able to improve learning time and scaling. The ability and effectiveness of identifying image using the proposed wavelet transform will be demonstrated by computer simulation.

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