Banking locker security using Image processing.This ppt elaborates on to detect human face using image processing.

1. Banking Locker
Security
Arpana Shree
Department of MCA
Mount Carmel College
Bangalore

2. Agenda
• Draw back of current technology
• Problem analysis model
• About hidden image scanner
• Algorithm overview
• Conclusion

3. What goes wrong???
• Theft can take variety of forms
- Insider
- Outsider

4. AnalysisAnalysis
Problem Analysis Model
Problem
Domain
Problem
Domain
SolutionSolution

5. Problem Domain
• Draw Back of alarm & CCTV technology
- Locker not secured
• Draw Back of RFID technology
- Passwords Hacking

6. SolutionSolution
Problem
Domain
Problem
Domain
Analysis
AnalysisAnalysis

7. Analyzing the problem
• Usage of security tokens
– Hardware/software
• Usage of 2FA
• Image scanning technology
- Current trend being implemented

8. SolutionSolution
Problem
Domain
Problem
Domain AnalysisAnalysis
Solution

9. Image scanning technology
• Uses a scanner
• Hidden scanner is being fixed
• Theft may not be aware of the hidden
Scanner
• Face detection algorithm is used

10. Example
Tiger

11. Face detection algorithm
Cb Part of the
input image
(fig-1)
Cr Part of the
input image
(fig-2)

12. The likely hood of
the skin regions
(fig-3)
Likelihood=exp[-0.5(X-M) c^-1
(X-M)]
where
X=P(r,b)^T
M=Mean value of X
C=Covariance of X

13. Image after
thresholding
(fig-4)
Using adaptive
threshold the Skin
regions are
highlighted
effectively

14. Template face used
to verify the
existence of face in
skin region
(fig-5)
Face boundary for
the given image
(fig-6)

15. Continued
• The detected face is given as a input
as a dimension 100X100 to Eigen
face recognition system.
• The output will be of the dimension
100X1

16. Conclusion
• Image scanner implementation in banking
locker security reduces 75% of hacking
• One of the emerging trend in IT industry
• Implemented in abroad Countries

17. Government website navigation page
www.clerk.house.gov/member_info/cong.as
px

18. THANK YOU!!!