Face recognition system is used to identify a person by comparing a face image in a database record. Face recognition is comparing and matching human beings with their faces. Face occlusion detection is also part of face recognition. Face occlusion is one of the major problems in face recognition. Facial occlusion is different from another kind of challenge in the field of artificial intelligence (AI). Occlusion means some area of the face is hidden behind an object like sunglasses, hand, and mask, etc. This paper gives brief information about face detection and recognition from occluded face images. This paper includes face occlusion detection methods like SVM, LGBPHS, S – LNME, and LBP, etc. that are used to recognize an occluded human face from a database record. This paper contains some publicly available datasets: Occluded LFW dataset, FERFT datasets, WebV-Cele dataset, Bosphorus dataset, UMB (University of Milano Bicocca) datasets and so on.

Face Recognition, Face Detection, Face Occlusion Detection, Convolution Neural Networks (CNN), Datasets

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