Eyeball Localization Based on Angular Integral Projection Function

Iris boundaries localization is a critical model in facial feature-based recognition systems. It has a close relationship to the results’ accuracy of these applications. In this paper, we propose a new algorithm based on the angular integral projection function (AIPF) to localize eyeball (iris outer boundary ) in iris images. The proposed algorithm adopts boundary points detection and curve fitting within gray level images. Mainly it finds the iris outer boundary’s features, the center and radius in three steps. First, we detect the approximate position of iris center. Then, using AIPF, a set of radial boundary points are detected. Finally, the features are obtained by fitting a circle to the detected boundary points. The experimental results on 756 iris images from CASIA show high accuracy and efficiency.