Application of the Expansion Haar Features in Eye Detection

Eye detection plays a very important role in the face recognition. This paper expands a Haar features by using Adaboost algorithm to accurately detect the eye. By combining an extremely efficient classifier based on Adaboost algorithm, the wide outlines of eye and eyebrow are detected, and then the templates of these wide doutlines are formed. Finally, these templates are used to match the pictures with eyes and eyebrow. Result shows that the wrong judgement due to the similitude of the eyes and eyebrow can be avoided.