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@article{153672,
        author = {KESIREDDY ASHA DEVI and N V ASHOK KUMAR},
        title = {EYE SCRUTINY DETECTION AND TRACKING SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {8},
        pages = {228-233},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=153672},
        abstract = {This paper describes a real-time contact-free eye-gaze tracking system that bases its accuracy in a very precise estimation of the pupil centre. The eye camera follows the head movements maintaining the pupil centred in the image. When a tracking error is produced, the image from a camera with a wider field of view is used to locate the eye and quickly recover the tracking process. Four infrared light sources, synchronised with the shutter of the eye camera, are used to produce corneal glints. Its special shape has been exploited to allow the optimisation of the image processing algorithms developed for this system. Special care has been taken in limiting the illumination power and working way below the dangerous levels. After a calibration procedure, the line of gaze is determined by using the pupil-glint vector. The glints are validated using the iris outline with the purpose of avoiding the glint distortion due to the changes in the curvature on the ocular globe. The proposed algorithms determine the pupil centre with sub-pixel resolution, minimising the measurement error in the pupil- glint vector. A distinct form this was been broken for permitting the optimization of
 
processing the image procedures which were established for this product. Subsequently a standardization formula, a link of stare is resolute through making the use of the user flash vector. The vertical and horizontal points of the eyes has been authenticated by making use of iris summary which has the need of eliminating the glint falsification owed the differences in warp on ocular sphere. These suggested processes define user center having fill in-pixel firmness, reducing a quantity mistake in user flash vector. There three main phases which have a significant role in this project. They are mouth recognition, eye blink detection and face movement detection which play important role in moving the mouse cursor.
},
        keywords = {Pattern recognition, image processing, eye-tracking, gaze-tracking.},
        month = {},
        }