Smart Authentication and Monitoring by Face Recognition to Maintain the Attendance Record using Deep Learning

Abstract

Face is a major trait to identify a human being. Even twins, everyone has their own unique face. Therefore, a methodology is required to identify and distinguish between different faces. Face recognition model can be considered as a system to identify the required face among many available. Now a days, face recognition has become a major requirement in day-to-day life in processes like face unlocking, attendance marking, authentication, etc. Based on security, it is considered as safest, as it doesn’t require any identity card or anything except a human face for verification. Face recognition models mainly go through 2 processes i.e., face detection and then identifying it. This proposed paper illustrates the idea on how to plan and build a face recognition classification with the concept of deep learning with the use of OpenCV of python programming language. Deep learning is a methodology to execute face recognition and appears to be a suitable method to perform face recognition because of its superior accuracy.