In order to solve the problem that traditional face detection needs a large number of samples to train and learn,a projection curve based face occlusion detection is presented. It uses gray projection curve of the binary face image to get eye region,and reduces the amount of data and impact of other facial features. The feature of projection curve of the binary eye region is used to determine if there is any occlusion. The method has no need of training and learning, and the normalized gray level difference,which is efficient extraction form eye region information,has clear physical meaning. Experimental results show that the method is effective,and it can increase the speed and improve the accuracy compared with other methods.