한국산학기술학회논문지 (Journal of the Korea Academia-Industrial cooperation Society)

  • 제10권1호
  • /
  • Pages.128-134
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  • 2009
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  • 1975-4701(pISSN)
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  • 2288-4688(eISSN)
한국산학기술학회 (The Korea Academia-Industrial cooperation Society)
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Embedded 시스템을 위한 고속의 홍채특징 추출 방법

A Fast Iris Feature Extraction Method For Embedded System

  • 최창수 (충북대학교 전기전자컴퓨터공학부 컴퓨터공학과) ;
  • 민만기 (충북대학교 전기전자컴퓨터공학부 컴퓨터공학과) ;
  • 전병민 (충북대학교 전기전자컴퓨터공학부 컴퓨터공학과)
  • 발행 : 2009.01.31
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초록

홍채인식은 홍채의 무의 패턴 정보를 이용하여 동일인 여부를 판별하는 생체인식 기술이다. 최근 들어 홍채 정보를 이용하여 출입통제, 정보보안등의 분야에 많이 활용되고 있다. 하지만 홍채 특징 추출 시 복잡한 연산을 수행한다. 이로 인하여 실시간 홍채인식을 위해서는 고사양의 하드웨어가 수반된다. 본 논문에서는 저사양의 임베디드 환경에 적합한 국부적 그래디언트 히스토그램을 이용한 홍채 특징 추출 방법을 사용하여 임베디드 시스템을 구현하였다. 실험에서 기존의 홍채 특징 추출 방식과 비교하여 특징 추출 속도는 더 빠르면서 대등한 성능을 보여주는 것을 확인 할 수 있으며, 회전에도 강인한 특성을 보였다.

Iris recognition is a biometric technology which can identify a person using the iris pattern. Recently, using iris information is used in many fields such as access control and information security. But Perform complex operations to extract features of the iris. because High-end hardware for real-time iris recognition is required. This paper is appropriate for the embedded environment using local gradient histogram embedded system using iris feature extraction methods have implement. Experimental results show that the performance of proposed method is comparable to existing methods using Gabor transform noticeably improves recognition performance and it is noted that the processing time of the local gradient histogram transform is much faster than that of the existing method and rotation was also a strong attribute.

키워드

참고문헌

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