A simple and efficient eye detection method in color images

Dro Desire Sidibe (1) , Philippe Montesinos (2) , Stefan Janaqi (2)

1 LHC - Laboratoire Hubert Curien
2 LGI2P - Laboratoire de Génie Informatique et Ingénierie de Production

In this paper we propose a simple and efficient eye detection method for face detection tasks in color images. The algorithm first detects face regions in the image using a skin color model in the normalized RGB color space. Then, eye candidates are extracted within these regions. Finally, using the anthrophological characteristics of human eyes, the pairs of eye regions are selected. The proposed method is simple and fast, since it needs no template matching step for face verification. It is robust because it can deals with face rotation. Experimental results show the validity of our approach, a correct eye detection rate of 98.4% is achieved using a subset of the AR face database.

Keywords: eye detection; skin detection; face detection

Domains: Computer Vision and Pattern Recognition [cs.CV]

Dro Desire Sidibe, Philippe Montesinos, Stefan Janaqi. A simple and efficient eye detection method in color images. International Conference Image and Vision Computing New Zealand 2006, Nov 2006, New Zealand. pp.385-390. ⟨ujm-00374366⟩