Title :
Eye state classification based on multi-feature fusion
Author :
Dong, Wenhui ; Qu, Peishu
Author_Institution :
Dept. of Phys., Dezhou Univ., Dezhou, China
Abstract :
After the study of the infrared eye image, the paper proposes a method that fusing four features together to judge the eye state. The features are iris area, eye area, eye height and eyelid curvature. Compared to the method that only using single feature, this method can overcome the shortcomings and realize the complementary of information. Also, it can obtain a higher correct rate of classification.
Keywords :
feature extraction; image classification; image fusion; eye height; eye state classification; eyelid curvature; feature extraction; infrared eye image; iris; multifeature fusion; Computer vision; Electronic mail; Eyelids; Face detection; Gray-scale; Infrared imaging; Iris; Pattern recognition; Physics; Transmitters; Membership degree function; eye state; information fusion;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5195119
