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Iris Detection for Eye State Analysis by Kamel Ghanem is a document available to read on EtoBox.

This paper introduces a novel algorithm for eye state analysis using iris detection based on the Circular Hough Transform (CHT), which operates without the need for training data or specialized cameras. The method involves extracting the face, localizing the eyes, and detecting the iris to determine if the eye is open or closed, demonstrating high accuracy in tests conducted with low-cost webcams. Experimental results indicate an average Correct Classification Rate of 99% and a Kappa statistic of 88%, sugge

Author
Kamel Ghanem
Language
EN