Human Face Recognition Using Combination of ZCA Feature Extraction method and Deep Neural Network

Nowadays, there are deep learning-based face recognition systems with reliable accuracy rates. But these systems need high computational powers because they should do feature extraction. This research presents the consequences of recognition rates on the AT&T face database, using the hybrid methods of ZCA feature extraction and ANN in order to reduce computational power usage.