Deep Learning Model to Identify Hide Images using CNN Algorithm

Abstract

In this paper, we are obtaining and solving the problem of face identification and verification including with mask and without mask face images. In this algorithm they model allows users to use the webcam, digital cameras and multimedia cameras for identify and detect several face related features in the faces. In this paper, we are conducting detailed and systematic result to verify the effectiveness of these classic feature learning systems on linear and nonlinear class imbalanced outcomes. We also demonstrate more discriminatory deep representation features can be learned through the implementation of a deep network model. This model is maintaining the margin of the both classes including clusters. With using Convolutional Neural Network (CNN), they are providing efficient result in with mask and without mask face image. They are providing good result in both offline and real time performance with predictable value of accuracy. They are done research in evaluations of being made for publicly available datasets like DEEPFace and with mask and without mask dataset. The proposed model is working best result in different-different face related datasets to identify with face mask and without face mask images.