Journal of KIISE:Software and Applications (한국정보과학회논문지:소프트웨어및응용)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
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On-line Signature Verification using Segment Matching and LDA Method

구간분할 매칭방법과 선형판별분석기법을 융합한 온라인 서명 검증

  • 이대종 (충북대학교 BK21 충북정보기술사업단) ;
  • 고현주 (충북대학교 제어계측공학과) ;
  • 전명근 (충북대학교 전기전자컴퓨터공학부)
  • Published : 2007.12.15
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Abstract

Among various methods to compare reference signatures with an input signature, the segment-to-segment matching method has more advantages than global and point-to-point methods. However, the segment-to-segment matching method has the problem of having lower recognition rate according to the variation of partitioning points. To resolve this drawback, this paper proposes a signature verification method by considering linear discriminant analysis as well as segment-to-segment matching method. For the final decision step, we adopt statistical based Bayesian classifier technique to effectively combine two individual systems. Under the various experiments, the proposed method shows better performance than segment-to-segment based matching method.

기존의 참조서명과 입력서명을 비교하는 방법 중 분절 단위 비교 방법은 전역적 비교와 점 단위 비교 방법과 비교하여 우수한 장점을 가지고 있다. 그러나 분절 단위 비교 방법은 인식률과 직접적인 관계가 있는 분절의 불안정 문제점이 있다. 이러한 문제점을 해결하기 위하여 본 논문에서는 분절단위 방법 외에 선형판별분석에 의한 매칭방법을 고려한 서명 검증 기법을 제안한다. 최종 검증단계에서 두 개의 독립모델을 효과적으로 융합할 수 있는 확률기반의 베이지안 분류기를 적용하였다 다양한 서명데이타를 이용하여 실험한 결과 제안된 기법은 분절단위 기반 구간분할매칭 기법에 비해 우수한 성능을 나타냈다.

Keywords

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