Published Paper Details:

The face is a fundamental part of the human anatomy that has the ability to express all kinds of emotions. Whenever a picture of a person is made, the main attraction of that picture is the face of that person. Whatever you say, whatever you think, your eyes reflect it. This is the reason why your eyes are an important part of body language and based on these, what is going on in your mind can be understood. Facial recognition technology is actually a part of biometric technology that helps a person to identify him by his face. People also recognize it as Biometric Artificial Intelligence Base Application, which is used to identify a person according to the shape of his eye retina, nose, face. Facial recognition system is used to identify people in a photo, video or real time. Facial recognition technology is considered part of biometrics, the measurement of biological data by equipment or software, similar to fingerprint scanning and eye/iris scanning systems. Computers use facial recognition software to identify or verify a person by mapping the facial features and dimensions and comparing that information with a vast database of faces. Various facial expression recognition expression (FER) methods available which is good it cannot say that. So this paper present comparative analysis of various FER methods using AI concept .