Title :
Real time eye state recognition
Author :
Dehnavi, Mohammad ; Attarzadeh, Nona ; Eshghi, Mohammad
Author_Institution :
ECE department, Shahid Beheshti University
Abstract :
Eye state recognition is one of the main stages of many image processing systems; such as driver drowsiness detection system. Driver drowsiness is one of the main causes for road accidents around the world. In these circumstances, the driver drowsiness detection can reduce accidents statistics. In this paper, a new algorithm is proposed to determine open or closed state for an eye, based on the difference between iris or pupil color and white area of the eye in open state. In the proposed method, the vertical projection is used to determine the eye state. The results show that the proposed algorithm has sufficient speed, accuracy, and less complexity, so it can be used in the real time.
Keywords :
Accuracy; Driver circuits; Fatigue; Image color analysis; Iris; Iris recognition; Real time systems; Eye; drowsiness; iris; pupil; smoothing filter; vertical projection;
Conference_Titel :
Electrical Engineering (ICEE), 2011 19th Iranian Conference on
Conference_Location :
Tehran, Iran
Print_ISBN :
978-1-4577-0730-8
Electronic_ISBN :
978-964-463-428-4