Abstract

Iris recognition is a biometric technique that uses iris pattern information to detect person identification. Initially, the system find out the boundary of the pupil and iris. Then, Circular Hough transform used to find out the center of both pupil and iris in order to crop iris part from the eye image. After that, Daugman’s Rubber Sheet model utilized for performing the normalizing step. Then, features extracted based on Legendre moment and Local Quantized. Several orders value with many region of iris have been used to get best value, which satisfied the highest recognition rate. Matching was performed by City Block Distance. The simulation was carried out using samples from CASIA.v4-Interval database, the main tool for programming is MATLAB

Highlights

  • In this automated world, there is a rapid development in modern science and technology and a widespread use of computers and electronic devices along with a growing world population

  • The three basic types of authentication system are something already known such as a passwords, something you got such as a card or token and something you such as biometric measures

  • One of the main ways for iris recognition is to construct features vectors corresponding to individual iris images and perform iris matching based on some distance measurements

Read more

Summary

Introduction

There is a rapid development in modern science and technology and a widespread use of computers and electronic devices along with a growing world population. The main problem, is security in different aspects that necessitates the need for a very precise and reliable authentication technology. Authentication plays a fundamental role, as it is first line of defense against intruders. Traditional systems should, be replaced by accurate, convenient and effective alternatives. Governments and private sectors are increasingly encouraging the use of biometric systems. The three basic types of authentication system are something already known such as a passwords, something you got such as a card or token and something you such as biometric measures

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call