DocumentCode :
548134
Title :
Real time eye state recognition
Author :
Dehnavi, M. ; Attarzadeh, N. ; Eshghi, Mohammad
fYear :
2011
fDate :
17-19 May 2011
Firstpage :
1
Lastpage :
1
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 :
eye; image recognition; iris recognition; road safety; closed state; driver drowsiness; image processing system; iris color; open state; pupil color; real time eye state recognition; Eye; drowsiness; iris; pupil; smoothing filter; vertical projection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering (ICEE), 2011 19th Iranian Conference on
Conference_Location :
Tehran
Print_ISBN :
978-1-4577-0730-8
Type :
conf
Filename :
5956025
Link To Document :
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