Human Facial Detection System

Abstract

Augmenting human computer interaction with automated analysis and synthesis of facial expressions is the goal towards which much research effort has been devoted to in the last few years. Face recognition and detection is one of the important aspects of natural human machine interfaces; this technology has great applications such as in security systems, capturing image, authentication and in clinical practice. Although humans recognize facial parts virtually without effort or delay, reliable face detection and recognition by a computer system is still a challenging task. The facial part recognition and detection problem is challenging because different individuals have different structure for their nose, eye and ears differently. In this project we are trying to design a face detection and recognition system in real time using the concepts of Haar wavelets, Eigen faces and template matching. In this project we will be using our system for detecting face area, eyes, mouth ears and nose.