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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