A Fast Eye Localization Algorithm Using Integral Image

Abstract

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.

DOI: 10.1109/ISCID.2009.64

7 Figures and Tables

Cite this paper

@article{Huang2009AFE, title={A Fast Eye Localization Algorithm Using Integral Image}, author={Chunde Huang and Kunhui Lin and Fei Long}, journal={2009 Second International Symposium on Computational Intelligence and Design}, year={2009}, volume={1}, pages={231-234} }