The enhanced security system for face recognition based on Deep network

Abstract

Face recognition can have considerable significance to factual globe requisition (supplication) for instance video scrutiny, personage system evolvement, privacy & security system. A comparatively deep neural network provides better performance results in terms of accuracy & processing time. The introduced system based on a convolutional neural network (CNN) proposes enhanced building blocks by having normalization computation at the layers & it supplies speed-up to the system. The proposed CNN model utilizes to draw-out distinct features of face &ReLU used to classify faces into CNN fully connected layer. The experimental result showed that the proposed system achieved better performance result with enhanced face recognition security.