Iris Recognition And Identification2

IRIS 1

Iris Recognition And Identification System

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Team members

Salman Baig.A 1MS07IS089 Syed Ahmed M.P 1MS07IS091 Prashant 1MS08IS406

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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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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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System designModule load agent

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Module 2

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Module 3:Save into memory

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Module 4: Match against my memory

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Module 5: view my memory

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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