Advance & Integrated technique for Eye gaze and Sclera detection

Abstract

To detect eye gaze and recognize sclera in this paper a unique method is proposed. In the recent years very few methods have been proposed which process noisy sclera images which are pictured at-a-distance and on-the-move, our proposed method focuses more on these noisy images. Sclera blood vessels are in trend as an efficient biometric trait and our method focuses more on enhancements of the techniques to detect sclera.The research idea deals with picturing the eye using a standard camera with a visible-wavelength instead of infrared images. Our proposed method first performs sclera template rotation alignment & then to minimize the error rates we implemented distance scaling method for the images capture ata-distance & on-the move. We implemented the system on windows on java platform & evaluated the performance on UBIRIS.v2 database.