Eye state classification based on multi-feature fusion

Authors:
Wenhui Dong;Peishu Qu
Affiliations:
Department of Physics, Dezhou University, Dezhou;Department of Physics, Dezhou University, Dezhou
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Year:
2009

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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.