Face and Eye Gaze scenario for person Identification using Circular Hough transform .

Abstract: This paper presents system based on recognition algorithm for face recognition and Circular Hough transform is used to localize circular iris and pupil region Eye Gaze Tracking (EGT) and face recognition allows us to estimate the way of eye gaze and the Point of Regard (POR) on the screen and also recognize the face of the person which is stored in database. This method has been successfully use in different discipline, but more technical improvement are still required to make EGT suitable to be useful in wider range of real world applications or research tools. In this paper a review on recent issues associated with EGTs is conducted and presented. Four issues are: accuracy, comfort ability, reaction time, and cost; but accuracy and comfort ability are the most two difficult problems which are discussed here. At the end, based on the conducted review, new orders for future research are stated. This technique has been effectively used in special disciplines, but more technical development are still required to make EGT suitable to be applied in broad range of real world applications or research tools. In this paper a review on recent issues associated with EGTs is directed and accessible. Four properties are: accuracy, comfort ability, response time, and cost; but accuracy and comfort ability are the most two inspiring problems which are discussed here. At the end, based on the conducted survey, new guidelines for future researches are stated.

Keywords: Eye Gaze Tracking (EGT), face detection, face recognition Human Computer Communication (HCC), Eye Tracking.