When using convolutional neural network (CNN) models to extract features of an occluded face, the part will inevitably be embedded into representation just as with other facial regions. Existing methods deal face recognition either by augmenting training dataset synthesized faces or segmenting occlusions first and subsequently recognize based on unoccluded Instead, simultaneous occlusion segmen...

Face recognition has been widely explored in the past years. A lot of techniques have been applied in various applications. Robustness and reliability have become more and more important for these applications especially in security systems. In this paper, a variety of approaches for face recognition are reviewed first. These approaches are classified according to three basic tasks: face repres...