Hi Liwei,

If a test face image is miss-classified and you are getting the second or third classified image as the real one, I would say you should use more than 1 image for each class of person, this will increase your accuracy. And you can also try data augmentation and prepare several images from one image and increase your dataset. This will securely increase your accuracy.