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• Get only region around the eyes and normalization (less computational cost and avoid false positive): a) landmarks detection b) rotation of the face c) get only region around the eyes d) illumination normalization e) resize
• Apply HPOG/HOG/LBP/... to the normalized region around the eyes
• Classify features

[I used LBP and SVM for classification. I'm getting good results.]

For training, I use this database[1]. This database has recently been released. You can also see more information.

[1] http://parnec.nuaa.edu.cn/xtan/data/ClosedEyeDatabases.html