Banking locker security using Image processing

Banking locker security using Image processing

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  Banking Locker Security Arpana Shree Departmentof MCA Mount Carmel College Bangalore
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  Agenda • Draw backof current technology • Problem analysis model • About hidden image scanner • Algorithm overview • Conclusion
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  What goes wrong??? •Theft can take variety of forms - Insider - Outsider
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  AnalysisAnalysis Problem Analysis Model Problem Domain Problem Domain SolutionSolution
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  Problem Domain • DrawBack of alarm & CCTV technology - Locker not secured • Draw Back of RFID technology - Passwords Hacking
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  SolutionSolution Problem Domain Problem Domain Analysis AnalysisAnalysis
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  Analyzing the problem •Usage of security tokens – Hardware/software • Usage of 2FA • Image scanning technology - Current trend being implemented
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  SolutionSolution Problem Domain Problem Domain AnalysisAnalysis Solution
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  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
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  Example Tiger
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  Face detection algorithm CbPart of the input image (fig-1) Cr Part of the input image (fig-2)
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  The likely hoodof 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
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  Image after thresholding (fig-4) Using adaptive thresholdthe Skin regions are highlighted effectively
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  Template face used toverify the existence of face in skin region (fig-5) Face boundary for the given image (fig-6)
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  Continued • The detectedface is given as a input as a dimension 100X100 to Eigen face recognition system. • The output will be of the dimension 100X1
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  Conclusion • Image scannerimplementation in banking locker security reduces 75% of hacking • One of the emerging trend in IT industry • Implemented in abroad Countries
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  Government website navigationpage www.clerk.house.gov/member_info/cong.as px
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  THANK YOU!!!