Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Eye Detection Using Zernike Moments and SVM

Zernike 모멘트와 SVM을 이용한 눈 검출

  • Kim, Hyoung-Joon (Department of Electronics and Computer Engineering Hanyang University) ;
  • Baek, Yeul-Min (Department of Electronics and Computer Engineering Hanyang University) ;
  • Kim, Whoi-Yul (Department of Electronics and Computer Engineering Hanyang University)
  • 김형준 (한양대학교 전자통신컴퓨터공학과) ;
  • 백열민 (한양대학교 전자통신컴퓨터공학과) ;
  • 김희율 (한양대학교 전자통신컴퓨터공학과)
  • Published : 2007.07.11
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Abstract

This paper presents a method to detect eyes in the facial image using Zernike moments and SVM After detecting eye candidate regions from the facial image, Zernike moments are computed on those regions with moving a $15{\times}15$ window. Then, SVM that uses Zernike moments as an input vector detects eyes. In the experimental results, the proposed method shows the eye detection rate of about 90%.

Keywords