Eye Detection by Genetic Algorithms

Abstract

In this paper, high-speed size and orientation invariant eye tracking using template matching and genetic algorithms (GAs) is proposed. Moreover, we try to acquire numerical parameters to represent the eye, for example, position, scaling, and rotation angle. Only one artificial template is used for every human user. We achieved an accuracy of 74% at a processing time of 0.03 seconds.