Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Eye Detection using Edge Information and SVM

에지 정보와 SVM의 결합을 통한 눈 검출

  • 지형근 (한국전자통신연구원 생체인식기술연구팀) ;
  • 이경희 (한국전자통신연구원 생체인식기술연구팀) ;
  • 정용화 (한국전자통신연구원 생체인식기술연구팀)
  • Published : 2002.06.01
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Abstract

This paper describes eye detection algorithm using edge information and Support Vector Machine (SVM). We adopt an edge detection and labelling algorithm to detect isolated components. Detected candidate eye pairs finally verified by SVM using Radial Basis Function (RBF) kernel. A detection rate over the test set has been achieved more than 90%, and compared with template matching method. this proposed method significantly reduced FAR.

Keywords