qwetuolkjhgfds

1. 2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
1
Efficient Authentication Method using Score
level fusion of Multimodal Biometrics
Guided by: Mrs.L.Latha,M.E.,(PhD)
Assistant Professor - CSE
P.Sugantha Priyadharshini
09MCS22

2. Multimodal biometric systems
 combine multiple biometric samples, or characteristics
derived from samples.
 provide better recognition performance compared to
systems based on a single biometric modality
 Different normalization techniques and fusion rules
used that results in better recognition performance.
 Optimization algorithm will give best performance
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
2

3. Metrics used
 Finger print
 Ear
 Retina
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
3

4. Modules
1)Normalization Methods
- Min-Max (MM)
- Two-Quadrics (QQ) Adaptive(AD)
- Quadric-Line-Quadric (QLQ)
- Double Sigmoid
2)Fusion Rules
- Sum fusion
- Exponential sum fusion
- Max fusion
3)Optimization Techniques
- PSO optimization
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
4

5. Normalization Method
 Min-Max Normalization
n = s-min(S)
max(S) – min(S)
 Two-Quadrics (QQ) Normalization
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
5

6.  Quadric-Line-Quadric(QLQ)
 Double Sigmoid
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
6

7. Min-max normalization
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
7

8. Two-Quadrics normalization
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
8

9. Quadric-Line-Quadric normalization
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
9

10. Double sigmoid normalization
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
10

11. Fusion Rules
 Sum Fusion
n= (S1+S2+…Sn)
 Exponential Sum Fusion
 Max Fusion
n= max(Si,Sj)
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
11

12. Weighted sum fusion
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
12

13. Exponential sum fusion
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
13

14. Max fusion
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
14

15. Performance results obtained by weighted
sum fusion
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
15

16. Performance graph obtained by Weighted
sum fusion
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
16

17. Performance graph obtained by Exponential
sum fusion
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
17

18. Performance graph obtained by Max fusion
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
18

19. Particle Swarm Optimization(PSO)
 Search algorithm motivated from a flock of
birds trying to fly to a favorable environment.
 The PSO is employed to dynamically select
the appropriate decision threshold and the
weights to minimize the error rate and
maximize the accuracy rate
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
19

20. Optimized threshold and weights of weighted
sum fusion using PSO optimization
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
20

21. Optimized threshold of exponential sum
fusion using PSO optimization
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
21

22. Optimized thresholds for different
normalization techniques
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
22

23. Performance graph obtained by Weighted
sum fusion after optimization
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
23

24. Performance graph obtained by Exponential
sum fusion after optimization
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
24

25. Performance graph obtained by Max fusion
after optimization
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
25

26. Percentage (%) of recognition rate and error
rate for different normalization techniques
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
26

27. References
 A.Rose and A. Jain, “Information Fusion in
Biometrics”, Pattern Recognition Letters,
vol.24,no.13,pp.2115–2125, Sept. 2003.
 A. Ross, K. Nandakumar, A. Jain, “Score Normalization
in Multimodal Biometric Systems”, Pattern
Recognition, vol.38, pp.2270–2285,Dec. 2005.
 K. Nandakumar, Y. Chen, S.C. Dass, A.K. Jain,
“Likelihood ratio-based biometric score fusion”, IEEE
Transactions on Pattern Analysis and Machine
Intelligence, vol.30, no.2, pp.342–347,2008.
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
27

28. Contd……
 S. Prabhakar, A.K. Jain, “Decision-level Fusion in
Fingerprint Verification”, Pattern Recognition,
vol.35, no.4, pp.861–874,2002.
 K. Nandakumar, Y. Chen, A.K. Jain, S.C. Dass,
“Quality-based Score level Fusion in Multi-Biometric
Systems”, 18th International Conference on Pattern
Recognition, vol. 4, pp. 473–476,2006.
 A. K. Jain, A. Ross, and S. Pankanti, “An
Introduction to Biometric Recognition,” IEEE Trans.
Circuits Syst. Video Technol., vol. 14, no. 1,pp. 4–20,
Jan. 2004.
2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
28

29. 2/4/2024 SUGANTHA PRIYADHARSHINI.P
ME-CSE
29
Thank You