Design of an iris-based recognition system

Iris Recognition have been found to be one of the most accurate and reliable form of authentication in biometrics. Today, the most common used iris recognition system in the field was produced by Dr. John Daugman. Since then more research, development and application of the system have been complete...

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Main Author: Law, Sherman Jian Hwee
Other Authors: Chang Chip Hong
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/78047
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-780472023-07-07T17:01:12Z Design of an iris-based recognition system Law, Sherman Jian Hwee Chang Chip Hong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Iris Recognition have been found to be one of the most accurate and reliable form of authentication in biometrics. Today, the most common used iris recognition system in the field was produced by Dr. John Daugman. Since then more research, development and application of the system have been completed due to the rise in popularity and decreasing cost of the iris recognition technology. With the aid of MATLAB using Daugman’s Algorithm, it can be modelled as an iris recognition system. Most experiments are done by using available database of iris images online, few are done by actual iris image. Therefore, this project would experiment the iris recognition system using actual captured iris images. Lastly. with the problems and shortcomings identified, recommend for future work improvement. Research in iris or biometrics recognition technology itself will never be sufficient despite the advantages as no technology, no matter how secure, cannot guarantee the system to be 100% safe. In addition, hackers nowadays are constantly finding for possible loop holes in the recognition system. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-11T06:19:29Z 2019-06-11T06:19:29Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/78047 en Nanyang Technological University 26 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Law, Sherman Jian Hwee
Design of an iris-based recognition system
description Iris Recognition have been found to be one of the most accurate and reliable form of authentication in biometrics. Today, the most common used iris recognition system in the field was produced by Dr. John Daugman. Since then more research, development and application of the system have been completed due to the rise in popularity and decreasing cost of the iris recognition technology. With the aid of MATLAB using Daugman’s Algorithm, it can be modelled as an iris recognition system. Most experiments are done by using available database of iris images online, few are done by actual iris image. Therefore, this project would experiment the iris recognition system using actual captured iris images. Lastly. with the problems and shortcomings identified, recommend for future work improvement. Research in iris or biometrics recognition technology itself will never be sufficient despite the advantages as no technology, no matter how secure, cannot guarantee the system to be 100% safe. In addition, hackers nowadays are constantly finding for possible loop holes in the recognition system.
author2 Chang Chip Hong
author_facet Chang Chip Hong
Law, Sherman Jian Hwee
format Final Year Project
author Law, Sherman Jian Hwee
author_sort Law, Sherman Jian Hwee
title Design of an iris-based recognition system
title_short Design of an iris-based recognition system
title_full Design of an iris-based recognition system
title_fullStr Design of an iris-based recognition system
title_full_unstemmed Design of an iris-based recognition system
title_sort design of an iris-based recognition system
publishDate 2019
url http://hdl.handle.net/10356/78047
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