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IRIS detection and Recognition MATLAB source code

This page covers step by step matlab code for eye iris detection or recognition.

matlab code

clear all;
close all;
clc;
%Reading the image
Img=imread('002L_1.png');
%%Pre Processing and Normalisation
figure;imshow(Img);title('INPUT EYE IMAGE');
%%Step 1: Converting to Gray sclae from rgb
Gray_imag=rgb2gray(Img);
figure;imshow(Gray_imag);title('IMAGE after Gray conversion');
%Deleting extra portion
t2=Gray_imag(:,65:708);
t3=t2(18:563,:);
figure;imshow(t3);title('IMAGE after Deleting extra portion');
%%Step 2: Resizing the image(546x644) to 512 x 512
t4=imresize(t3,[512,512],'bilinear');
figure;imshow(t4);title('IMAGE after resize');
%%Step 3: Histogram Equlisation
Hist_eq_img = histeq(t4,512);
figure;imshow(Hist_eq_img);title('IMAGE after Histogram Equlisation');
% Step 4: Gaussian Filtering
G = fspecial('gaussian',[512 512],20);
%Filter it
Hist_eq_img=double(Hist_eq_img);
Ig = imfilter(Hist_eq_img,G,'same');
%Display
%%Step 5: Canny Edge detection
BW2 = edge(Ig,'canny',0.53,1);
figure;imshow(BW2);title('IMAGE after canny edge detection');


iris detection input

STEP 1:RGB image to grayscale conversion



iris detection gray conversion

STEP 2:Image Resize


iris detection image resize

STEP 3:Histogram Equalization


iris detection histogram equalization

STEP 4:GAUSSIAN FILTERING


iris detection after canny detection

STEP 5:CANNY EDGE DETECTION


DOWNLOAD Input EYE Image

CLICK to download



DOWNLOAD COMPLETE source code Zip file from following link

The above source code is not complete, please download the entire source zip file from the link mentioned below.

http://www.csse.uwa.edu.au/~pk/studentprojects/libor/sourcecode.html

Related Links

http://waset.org/Publication/a-novel-approach-to-iris-localization-for-irisbiometric-processing/15231

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