한국통신학회:학술대회논문집 (Proceedings of the Korean Institute of Communication Sciences Conference)

한국통신학회 (The Korean Institute of Commucations and Information Sciences)
권호 표지

Hough변환을 이용한 문자인식

Character recognition using Hough transform

  • 강선미 (고려대학교 전자공학과) ;
  • 김봉석 (고려대학교 전자공학과) ;
  • 황승옥 (고려대학교 전자공학과) ;
  • 양윤모 (고려대학교 정보공학과) ;
  • 김덕진 (고려대학교 전자공학과)
  • 발행 : 1991.10.01

⟨ 이전 논문 다음 논문 ⟩

초록

This paper proposes a new feature extraction method which is effectively used in character recognition, and validate the effectiveness through various computational methods for similiarity degree. To get feature vectors used in this method, Hough transform is applied to character image, which is used for edge extraction in image processing. By that transformation technique, strokes could be extracted and feature vectors constructed suitably. The characteristic of this method is solving the difficulties in stroke extraction through transform space analysis, which is induced by noise and blurring, and representing high recognition rate 99.3% within 10 candidates in relative low dimension.

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