  Working with Child Sexual Exploitation Material (CSEM) in forensic
applications might be benefited from the progress in automatic face
recognition. However, discriminative parts of a face in CSEM, i.e., mostly the
eyes, could be often occluded to difficult the victim's identification. Most of
the face recognition approaches cannot deal with such kind of occlusions,
resulting in inaccurate face recognition results. This document presents a
short review face recognition methods for images with natural and eye occlude
faces. The purpose is to select the best baseline approach for solving
automatic face recognition of occluded faces.
