A Survey on Face Recognition Techniques in Machine Learning

In the digital world, biometrics is used for authentication or recognition to examine and confirm a person's distinguishing physical or behavioral attributes. There are many authentication systems available today that use iris, fingerprint, and face features for identification and verification. Face recognition-based systems are the most popular since they don't always need the user's assistance, are more automated, and are simple to use. Face recognition paves the way for an innovative way to perceive a human face. Face recognition and identification have been used in access control systems, which have become widely used in security frameworks during the past few years. With the help of biometrics, a facial recognition system can extract facial details from a picture or video. The data is compared to a database of recognized faces to identify a match. Personal identity can be confirmed through facial recognition. This review paper offers a comparison of various facial recognition methods.