Eye state classification based on multi-feature fusion
Wenhui Dong, Peishu Qu · 2009
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.