This paper describes a practical tiered progressive real-time iris positioning method for mental fatigue monitoring

considering the process of face detection

the positioning of eyes and iris segmentation

is presented According to the characteristics of higher real-time performance demanding

with relatively fixed background and possible head rotation

face tilt and hair occlusion in iris localization for. Skin color model is used to rapidly detect face

ellipse fitting is used to perform face pose estimation and tilt correction

variance projection is used to roughly locate eyes

histogram and custom window function is used to adaptively obtain the iris threshold

and the adaptive threshold segmentation is used for accurate iris positioning. Experimental results show that our method can quickly and accurately locate the iris

can effectively handle the problem of face rotation and tilt in large angle and the facial obscured by hair.