IRIS 1

Iris Recognition And Identification System

IRIS 2

Team members

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

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.

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

IRIS 5

System designModule load agent

IRIS 6

IRIS 7

Module 2

IRIS 8

IRIS 9

Module 3:Save into memory

IRIS 10

IRIS 11

Module 4: Match against my memory

IRIS 12

IRIS 13

Module 5: view my memory

IRIS 14

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