Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Detecting fingerprint features with immediate adaptation to local fingerprint quality using fuzzy logic

퍼지 로직을 이용한 지문의 지역적 특성을 효율적으로 반영하는 지문 특징점 추출에 관한 연구

  • 이기영 (한국과학기술원 전자전산학과) ;
  • 김세훈 (한국과학기술원 전자전산학과) ;
  • 정상갑 (한국과학기술원 전자전산학과) ;
  • 이광형 (한국과학기술원 전자전산학과) ;
  • 원광연 (한국과학기술원 전자전산학과)
  • Published : 2001.06.01
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Abstract

This paper complements the shortcomings of the original edge following algorithm. We propose a new edge following method which exploits the uncertainty residing in fingerprint analysis. Based on fuzzy set theory, the proposed algorithm computes the current local quality of a fingerplinL image by considering two Jocal properties: a relative cardinality of fuzzy set and a local variance. According to the calculated local quality infonnation, we dynamically adopt the appropriate different methods.

본 논문은 지문 이미지에 존재하는 애매함을 퍼지 로직을 이용한 표현으로 기존의 융선 추적법의 단점을 보완한다. 지문의 근방의 질을 퍼지 집합의 상대 크기와 근방 명암의 분산을 이용하여 판단한 후 근방의 지문의 질이 좋고 나쁨에 즉각적으로 다른 방법을 사용하여 지문의 융선을 추적하는 새로운 융선 추적법을 제안 설계한다.

Keywords

References

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