A Fast Eye Localization Algorithm Using Integral Image

Eye localization is an essential step in automatic face recognition system(AFRC), since it has a direct influence on the overall recognition performance. In this paper, we present a simple and fast eye localization algorithm, called integral image approach (IIA), for real time face recognition system. IIA can find out candidate positions for pupils and brows using the representation of image. Then by applying some constraints, such as the position of left pupil should be lower than that of the left brow, and adjusting the results, the IIA can eventually retrieve the locations of two pupils in a given face. The experiments show that the proposed IIA can locate eyes considerably fast with high accuracy in nearly frontal faces.