Eye state analysis using iris detection based on Circular Hough Transform
Nawal Alioua, Aouatif Amine, Mohammed Rziza, Driss Aboutajdine · 2011
Eye state analysis is critical step in diverse applications including gaze detection for human-machine interfaces, face alignment for automatic face recognition systems and drowsiness detection for intelligent vehicle systems. In this paper, we propose a robust and novel algorithm for eye state analysis using iris detection based on Circular Hough Transform (CHT). This new algorithm requires no training data at any step or special cameras. The tests performed to evaluate our eye state analysis algorithm using real video sequences acquired by low cost webcam show that the algorithm provides good results.