Eye gaze detection and sclera recognition by using Robust Sclera Segmentation Algorithm
Pages : 77-81
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Abstract
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 came ra 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.
Keywords: Biometrics, feature extraction, Gabor filter’s, kernel, linear discriminates analysis, pattern recognition, sclera recognition