Linear Discriminant

Analysis(Face Recognition Technique)

INDEX

Introduction to Face Recognition Technique

Applications

Demonstration of Project Work

Conclusion

Introduction to Face Recognition Technique

Research Background

Face recognition Is a technology for Identifying people based on Effective ID

Information extracted by computers from facial pictures.

With the development of Technology , development of digitalized Information

requires secure authentication more than ever.

Compare with biometric authentication method like finger prints, iris, palm

print, face recognition system is more friendly and convenient and easier for

Users to accept. This makes Face recognition technology a research Hotspot.

Difficulty in Face recognition

Speciality of Human Face

-> Rotation -> Facial Expression

Influence from Environment

-> Distance -> Size -> Illumination

Limitation On Computers

-> Process data in a short time

Applications :

Bankruptcy prediction

Face recognition

Marketing

Biomedical studies

Data Mining

Steps involved in matching the faces from Database &

LDA technique:

Result:

- Out of 40 images 37 were recognized

correctly.

How Artificial Intelligence used in

storing & comparing human faces :

Conclusion:

In this System, Algorithm reached to a certain level of recognition rate

A better recognition rate can be achieved by getting more training images to

form EigenSpace.

ThankU