LDA Face Recognition Technique theory content excluding Math formulae

1. Linear Discriminant
Analysis
(Face Recognition Technique)

2. INDEX
 Introduction to Face Recognition Technique
 Applications
 Demonstration of Project Work
 Conclusion

3. 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.

4. 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

5. Applications :
 Bankruptcy prediction
 Face recognition
 Marketing
 Biomedical studies
 Data Mining

6. Steps involved in matching the faces from Database &
LDA technique:

7. Result:
- Out of 40 images 37 were recognized
correctly.

8. How Artificial Intelligence used in
storing & comparing human faces :

9. 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.

10. ThankU