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Robust Non-Intrusive Real Time Access Control Squint Eye States Detection Based on Hough Transform on Human Face Images

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Executive Summary

This paper provides an idea about defective binocular vision which causes Vision loss in the turned eye. The eyes need to be straight for the brain to combine the images seen by the two eyes into a single picture. This gives them 3 dimensional visions, which allows them to judge depth. If an eye turns in, it can interrupt the total field of vision. Despite active research and significant progress in the last few years, eye detection and tracking remains challenging due to the individuality of eyes, occlusion, and variability in scale, location, and light conditions. Data on eye location and details of eye movements have numerous applications and are essential in face detection, biometric identification.

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