Automated Real-Time Face Recognition and Tagging

Abstract

This paper mainly addresses the building of facial recognition software which falls into a large group of technologies known as biometrics. It has been one of the most interesting and important research fields. The methods may vary, but they generally involve a series of steps that serve to capture, analyze and compare your face to a database of stored images. For automatically identifying or verifying a person from a digital image or a video source, there is a need for an automated face recognition system. One of the ways to do this is by comparing selected features of the faces from the image and the database of several faces. Automatic face detection is a complex problem in real-time video processing. This problem is commonly referred to as face location, face extraction, or face segmentation. This paper presents a new algorithm to automatically segment out and recognize a person’s face from a real-time video and the main objective is to tag the faces accordingly by comparing the facial features from the existing dynamic database. By using this technique a large number of individuals or a group of people can get benefited. This is the reason which is responsible for a great need in the field of facial recognition.