CHAPTER - 1
INTRODUCTION
1.1 Introduction
Humans are very good at recognizing faces and complex patterns. Even a passage of time doesn't effect this capability and therefore it would help if computers become as robust as humans in face recognition. Face recognition system can help in many ways :
1) Checking for criminal records .
2) Enhancement of security by using surveillance cameras in conjunction with face recognition system.
3) Finding lost children's by using the images received from the cameras fitted at some public places .
4) Knowing in advance if some VIP is entering the hotel.
5) Detection of a criminal at public place.
6) Can be used in different areas of science for comparing a entity with a set of entities.
7) Pattern Recognition.
This project is a step towards developing a face recognition system which can recognize static images. It can be modified to work with dynamic images. In that case the dynamic images received from the camera can first be converted in to the static one's and then the same procedure can be applied on them. But then there are lots of other things that should be considered . Like distance between the camera and the person , magnification factor, view [top ,side, front] etc.
1.2 Objectives :
1) To recognize a sample face from a set of given faces .
2) Use of Principal Component Analysis [Using Eigenface approach].
3) Use a simple approach for recognition and compare it with Eigenface approach .
4) Suggest which one is better and why. It may happen that in some cases latter may work better than former approach and vice versa .