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Eye Detection Using Gabor Filter, Neural Network and Skin Color

S. El Kaddouhi, A. Saaidi, M. Abarkan


In this paper, we have proposed a new robust method of eye detection based on Gabor filter, neural network, skin color, and eye template. First, the faces are detected by a system composed of a Gabor filter, and a neural network. Then, in the faces detected, we have removed the skin regions, and keep only the non-skin regions which have a high probability to be eyes. Then, these non-skin regions are compared with an eye template to locate the position of the eyes. The obtained results show that our method is robust and provides superior performance compared to other methods recently published.


Eye detection, face detection, Gabor filter, MLP, skin color, eye template.

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