Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Enhanced Vein Detection Method by Using Image Scaler Based on Poly Phase Filter

Poly Phase Filter 기반의 영상 스케일러를 이용한 개선 된 정맥 영역 추출 방법

  • Kim, HeeKyung (Department of Electronic Engineering, Dong-A University) ;
  • Lee, Seungmin (Department of Electronic Engineering, Dong-A University) ;
  • Kang, Bongsoon (Department of Electronic Engineering, Dong-A University)
  • Received : 2017.12.29
  • Accepted : 2018.04.23
  • Published : 2018.05.31
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Abstract

Fingerprint recognition and iris recognition, which are one of the biometric methods, are easily influenced by external factors such as sunlight. Recently, finger vein recognition is used as a method utilizing internal features. However, for accurate finger vein recognition, it is important to clearly separate vein and background regions. However, it is difficult to separate the vein region and background region due to the abnormalized illumination, and a method of separating the vein region and the background region after normalized the illumination of the input image has been proposed. In this paper, we proposed a method to enhance the quality improvement and improve the processing time compared to the existing finger vein recognition system binarization and labeling method of the image including the image stretching process based on the existing illumination normalization method.

생체 인식 방식 중 하나인 지문 인식과 홍채 인식 등은 태양광과 같은 외부 요소에 쉽게 영향을 받는다. 따라서 최근에는 생체 내부의 특징을 이용하는 방법으로 지정맥 인식을 이용하고 있다. 정확한 정맥 인식을 위해서는 정맥 영역과 배경 영역을 확실하게 분리하는 것이 중요하다. 하지만 입력 영상에 포함 된 불균일한 조명 성분의 영향으로 정맥 영역과 배경 영역을 분리하는 것이 어려웠기 때문에 입력 영상의 조명 성분을 정규화 시킨 후 정맥 영역과 배경 영역을 분리 할 수 있는 방법이 제안되었다. 본 논문에서는 기존의 조명 정규화 방법을 바탕으로 영상 스트레칭 과정이 포함 된 영상의 전처리 단계와 이진화, 레이블링 방법을 개선하여 기존의 정맥 인식 기법에 비해 더 나은 질적 개선을 이루고 처리 속도를 향상 시킬 수 있는 방법을 제안한다.

Keywords

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