Comparative Analysis of Human Face Recognition by Traditional Methods and Deep Learning in Real-Time Environment

Abstract

In general, the field of face recognition has gain a lot of attention for researchers. As the crime increases day by day, the forensic surveillance is required to construct a facial attribute, a visual likeness of a victim’s face. Many researchers have contributed their work in this field by using various methods. Real time face detection is still a tedious task and achieve a good performance of the system. In this paper we will compare two models of face recognition. First is traditional method and second is deep learning method on real time dataset. After comparing these methods with different algorithms, will find the accuracy of the models on same dataset and check whether it predict a correct face or not.