• Mr. Sunil T. Rajguru.
• Mr. Kishor N. Shedge.
• Mr. Devidas S. Thosar.

I have proposed in this paper a unique technique which is able to adapt to noisy images for eye gaze detection as the processing of noisy sclera images captured at a distance and on the move has not been extensively investigated. The blood vessels of sclera have previously been investigated as an useful biometric characteristic.Capturing this section of the eye with a normal camera with pictures of visible distance instead of near infrared images has given rise to attention in research interest This technique involves a sclera template rotational alignment and a distance scaling method to minimize the error rate when audible eye images are taken prisoner at a distance and on the move. The proposed system is being tested and results are generated by extensive simulation in java.

Biometrics, feature extraction, Gabor filter’s, kernel, linear discriminates analysis, pattern recognition, sclera recognition.

"Robust Sclera Segmentation Algorithm For Eye gaze detection and sclera recognition by using ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.176-179, June-2020, Available :http://www.jetir.org/papers/JETIR2006029.pdf

"Robust Sclera Segmentation Algorithm For Eye gaze detection and sclera recognition by using ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp176-179, June-2020, Available at : http://www.jetir.org/papers/JETIR2006029.pdf