Eye Pupil Localization on Face Images Using Eliptical Gabor Filters and Local Minima


Ayhan B., Abaci B., Akgül T.

22nd IEEE Signal Processing and Communications Applications Conference (SIU), Trabzon, Turkey, 23 - 25 April 2014, pp.923-926 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Trabzon
  • Country: Turkey
  • Page Numbers: pp.923-926

Abstract

In this paper an eye localization algorithm which uses elliptical Gabor filters and local minima to detect eye pupils on a face image is proposed. First, face is detected in a given image. Then this face image is converted into gray-scale. Finally eye pupils are localized using elliptical Gabor filters and local minimum points. The method is tested on our combined data set using images form "ScFace", Hong Kong University "Face", "Karolinska Faces" and "MUCT" databases. For eye localization, a success rate of %89 for 569 images is achieved.