Comparative analysis of unsupervised eye center localization approaches

The paper focuses on the comparative analysis of the latest and the most effective techniques for automatic eye center localization developed in recent years. The basic aim of the work is to identify the most accurate and efficient technique for eye center detection based upon an unsupervised approach. These techniques are developed using basic principles laid down by the various researchers without any optimizations, pre-processing or post processing steps and are explored over the periocular images extracted from standard database. The study showed varying processing times of these basic techniques for automatic detection of eye pupil over similar image dataset. The aim of this work is to show the significant and efficient unsupervised technique for eye center localization. The results of this study may be useful for the development of efficient and accurate approaches for eye center localization in eye gaze tracking applications.