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MATLAB Iris Recognition Project

This document describes an iris recognition system created using MATLAB. The system takes an image of an iris, preprocesses it by converting to grayscale, cropping, resizing and applying filters. It then detects edges using Canny and Sobel filters, applies thresholding and normalization. This extracts features of the iris which can be used for identification. The project aims to utilize iris biometrics for security applications like door locks. It was created by Anwesha Chakraborty and guided by Dipra Mitra at Technique Polytechnic Institute.

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0% found this document useful (0 votes)
60 views25 pages

MATLAB Iris Recognition Project

This document describes an iris recognition system created using MATLAB. The system takes an image of an iris, preprocesses it by converting to grayscale, cropping, resizing and applying filters. It then detects edges using Canny and Sobel filters, applies thresholding and normalization. This extracts features of the iris which can be used for identification. The project aims to utilize iris biometrics for security applications like door locks. It was created by Anwesha Chakraborty and guided by Dipra Mitra at Technique Polytechnic Institute.

Uploaded by

sparsh jain
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as PDF, TXT or read online on Scribd
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TECHNIQUE POLYTECHNIC INSTITUTE

IRIS RECOGNATION
SYSTEM
USING MATLAB
By
Anwesha Chakraborty

GUIDED BY:
Mr. DIPRA MITRA
(In-Charge of DCST)
SOFTWARE PROJECT Lecturer in Computer Science & Technology
Technique Polytechnic Institute
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➢ Introduction
➢ Project Objective
➢ Features of Project
➢ Project Analysis
CONTENTS ➢ Software Requirements
➢ Hardware Requirements
➢ Project Applications
➢ Future Enhancement
➢ Acknowledgement

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INTRODUCTION
❖Biometrics is the science of human recognition.
In biometrics, "Iris & Retinal Scanning” technologies
are known as “ocular based” identification technologies,
meaning they rely on unique physiological characteristics
of the eye to identify individual.
❖Retinal scanning is the analysis of the blood vessels
at the back of the eye.
❖Iris scanning takes a reading of the characteristics of
the iris.

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PROJECT OBJECTIVE
❑Characteristics of the Iris make it very attractive for
use as biometric.
❑The unique iris pattern from a digitized image of the
eye is encoded into a biometric template, and then
stored in a database.
❑A biometric template contains an objective mathematical
representation of the unique information stored in the iris
and allows comparisons between templates.

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FEATURES OF THE PROJECT
The iris of the eye has been described as the ideal part of
the human body for biometric identification for several
reasons:
✓ It is an internal organ that is well protected against damage and wear by a
highly transparent and sensitive membrane (the cornea). This distinguishes it
from fingerprints, which can be difficult to recognize after years of certain
types of manual labor. The iris is mostly flat, and its geometric configuration is
only controlled by two complementary muscles (the sphincter pupillae and
dilator pupillae) that control the diameter of the pupil.
✓ The iris has a fine texture that like fingerprints is determined randomly during
embryonic gestation. Like the fingerprint, it is very hard (if not impossible) to
prove that the iris is unique. However, there are so many factors that go into
the formation of these textures that the chance of false matches for either is
extremely low. Even genetically identical individuals have completely
independent iris textures. An iris scan is similar to taking a photograph and can
be performed from about 10 cm to a few meters away.

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Software Requirements:
We have requires some basic software's to do this
project:
The following Software’s are:
✓Operating System: Windows 7 (64bit) & Updates
Windows
✓MATLAB: 2012a and Higher version (Here we used
MATLAB 2017a)

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Hardware Requirements:
We have requires some basic hardware's to
do this project:
The following hardware’s are:
✓HDD – 250GB or Higher
✓Processor: Core 2 Duo or higher

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PROJECT ANALYSIS
Here we doing the following steps to recognize the iris:
❑ Image Acquisition
❑ Converting into Gray Image
❑ Subtract Gray Image
❑ Histogram
❑ Cropped Image
❑ Resized Image
❑ Smoothing Image using Gaussian Filter
❑ Edge Detection by Canny Filter
❑ Edge Detection by Sobel Filter
❑ Gamma Adjusted Image
❑ Hysteresis Thresholding
❑ Hugh Transformation
❑ Normalized Image
❑ Final Output

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PROJECT ANALYSIS WITH OUTPUT

IMAGE ACQUISITION

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CONVERTING INTO GREY IMAGE

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SUBTRACT GREY IMAGE

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HISTOGRAM

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CROPPED IMAGE
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RESIZED IMAGE

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SMOOTHING IMAGE BY GAUSSIAN FILTER

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EDGE DETECTION BY CANNY FILTER
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EDGE DETECTION BY SOBEL FILTER

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GAMMA ADJUSTED IMAGE

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HYSTERESIS THRESHOLDING

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HUGH TRANSFORM

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NORMALIZED IMAGE

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FINAL OUTPUT

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FUTURE ENHANCEMENT
In Future it will can be used to door lock or
vault lock in Security purpose in Bank or
any other any other security place.

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ACKNOWLEDGEMENT
I would like to express my gratitude to our guide Mr. Dipra Mitra(In-
Charge of DCST) and Dr. Abhijit Chakraborty(Principal) who
gave me the opportunity to do this project ,which also helped me in
doing a lot of research and I came to know about so many things, I am
really thankful.

I am also proud of all my friends and family members, for their


continuous encouragement and help and support at all the stage of my
endeavour, without that active co-operation this project would not
have seen the light of success.

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THE END

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