A Review: Facial Recognition Using Machine Learning

Abstract

A facial recognition system can verify or identify a person from a video or a digital image. There are various techniques in which these systems work. Popularly, they work by first matching the facial characteristics picked from the image to the faces stored in the database. It is called a Biometric Identification based application that uniquely identifies each individual by analyzing their voice, facial expression, face, or fingerprint. Even though it was initially used as a computer application, it has gained broader uses in mobile platforms and other technology sectors, such as robotics. It has a vast application in security systems. Although this system's accuracy as biometric technology is lower than that of fingerprint recognition and iris detection, it is broadly used due to its non-invasive and contactless features. It has recently grown in significance as a tool for retail and marketing. Another application is video surveillance to identify missing people or criminals. It is gaining importance in the healthcare sector. Facial recognition technology has become very popular and is being used everywhere from shopping centers, airports, venues, and by law enforcement. This technology can also be used to prevent crimes such as shoplifting by identifying ex-cons. Although this technology is gaining widespread use, there are many concerns about privacy and safety.