# RF Wireless World

## Home of RF and Wireless Vendors and Resources

One Stop For Your RF and Wireless Need

## 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;
%%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');

STEP 1:RGB image to grayscale conversion

STEP 2:Image Resize

STEP 3:Histogram Equalization

STEP 4:GAUSSIAN FILTERING

STEP 5:CANNY EDGE DETECTION

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

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

### Useful Links to MATLAB codes

Refer following as well as links mentioned on left side panel for useful MATLAB codes.
OFDM Preamble generation  Time off estimation corr  Freq off estimation corr  channel estimation  11a WLAN channel  PN sequence generation  OFDMA Tx Rx  AES DES  carrier aggregation  CCDF  FIR Filter  IIR Filter  Low Pass FIR  Viterbi decoder  CRC8 CRC32