Implementing Face Recognition Using Deep Learning

Artificial Intelligence (AI) is one of the most active fields in science and engineering. It is used in several applications related to computer networks and their security. One of the main goals of AI is to allow machines to work automatically, intelligently and with minimal human intervention. Machine Learning (ML) is a subset of AI that works great for a wide variety of problems. It is used to solve problems with the aim of producing better results than existing traditional techniques. However, it encounters limitations due to the increase in data. This motivated researcher to find an effective alternative called Deep Learning (DL) which gives more accurate results in the presence of massive amounts of data. In this article, we are interested in the field of AI, more specifically DL, to design a biometric system capable of guaranteeing Automatic Facial Recognition to detect and authenticate an individual in real time. Common facial authentication methods involve extracting facial features to compare them to images stored in a database to find a suitable match.