DocumentCode
2842434
Title
Eye state classification based on multi-feature fusion
Author
Dong, Wenhui ; Qu, Peishu
Author_Institution
Dept. of Phys., Dezhou Univ., Dezhou, China
fYear
2009
fDate
17-19 June 2009
Firstpage
231
Lastpage
234
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CCDC.2009.5195119
Filename
5195119
Link To Document