Banking locker security using Image processing

Banking Locker Security

Arpana Shree

Department of MCA

Mount Carmel College

Bangalore

Agenda

• Draw back of current technology

• Problem analysis model

• About hidden image scanner

• Algorithm overview

• Conclusion

What goes wrong???

• Theft can take variety of forms

- Insider

- Outsider

AnalysisAnalysis

Problem Analysis Model

Problem DomainProblem Domain

SolutionSolution

Problem Domain

• Draw Back of alarm & CCTV technology- Locker not secured

• Draw Back of RFID technology- Passwords Hacking

SolutionSolution

Problem DomainProblem Domain

Analysis

AnalysisAnalysis

Analyzing the problem

• Usage of security tokens– Hardware/software

• Usage of 2FA

• Image scanning technology - Current trend being implemented

SolutionSolution

Problem DomainProblem Domain AnalysisAnalysis

Solution

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

Example

Tiger

Face detection algorithm

Cb Part of the input image (fig-1)

Cr Part of the input image (fig-2)

The likely hood of the skin regions (fig-3)

Likelihood=exp[-0.5(X-M) c^-1 (X-M)]

whereX=P(r,b)^T

M=Mean value of X C=Covariance of X

Image after thresholding

(fig-4)

Using adaptive threshold the Skin regions are highlighted effectively

Template face used to verify the existence of face in skin region (fig-5)

Face boundary for the given image (fig-6)

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

Conclusion

• Image scanner implementation in banking locker security reduces 75% of hacking

• One of the emerging trend in IT industry

• Implemented in abroad Countries

Government website navigation page

www.clerk.house.gov/member_info/cong.aspx

THANK YOU!!!