iris recognition and identification2
TRANSCRIPT
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IRIS 1
Iris Recognition And Identification System
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IRIS 2
Team members
Salman Baig.A 1MS07IS089 Syed Ahmed M.P 1MS07IS091 Prashant 1MS08IS406
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IRIS 3
Problem Statement
Cost effective Use of camera which is 80%
efficient. Instead 3D, use of 2D Geometric normalization to
transform image from cartesian to polar form.
Use of Binary code.
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IRIS 4
Design & ImplementationIRIS RECOGNITION PROCESS FLOW
SAVE TOMEMORY
IRISUNROLLING
IRISLOCALIZATION
PUPIL IRISRADIUS
DETECTION
CANNY EDGEDETECTION
PUPIL CENTREDETECTION
NO
NOTMATCHING
MATCHFOUND?
MEDIANFILTER
GRAY SCALE
SCAN AN EYE
NEW USER EXISTING USER
MATCH EYEAGAINST MY
MEMORY
SCAN AN EYE
WELCOMEUSER!!!YES
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IRIS 5
System designModule load agent
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IRIS 6
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IRIS 7
Module 2
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IRIS 8
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IRIS 9
Module 3:Save into memory
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IRIS 10
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IRIS 11
Module 4: Match against my memory
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IRIS 12
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IRIS 13
Module 5: view my memory
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IRIS 14
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IRIS 15
Canny Edge Detection Noise Reduction Raw image with Guassian filter G=sqrt(Gx *Gx + Gy*Gy) Angle = Gy/Gx 0 deg – North-South 45 deg – North-West 90 deg – East- West 135 deg- North East- South West