Real Time Face Detection and Recognition

Abstract

Performing face detection in real time is a challenge as accuracy and efficiency both are highly considerable here. In real time face detection system has to face many difficulties as it is more difficult to extract useful features from a moving object. There are different types of method to detect and recognize human faces. In this thesis, I am trying to extract feature from face image at real time and proposed a model that can detect human faces and recognize them. First I use Haarcasecade classifier to classify and detect human faces then I use LBPH algorithm to extract feature from dynamic image and compare them with training data to recognize them.