Iris recognition using convolutional neural network / Zhuang Yuan

This research aims at designing a practical system to recognize and classify human’s iris. Iris recognition is an advanced technology that is being actively researched for many decades and is gaining wider popularity. The rising of artificial intelligence provides a great opportunity to further popu...

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Bibliographic Details
Main Author: Zhuang, Yuan
Format: Thesis
Published: 2018
Subjects:
Online Access:http://studentsrepo.um.edu.my/9207/
http://studentsrepo.um.edu.my/9207/1/Zhuang_Yuan.jpg
http://studentsrepo.um.edu.my/9207/11/yuan.pdf
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author Zhuang, Yuan
author_facet Zhuang, Yuan
author_sort Zhuang, Yuan
building UM Research Repository
collection Online Access
description This research aims at designing a practical system to recognize and classify human’s iris. Iris recognition is an advanced technology that is being actively researched for many decades and is gaining wider popularity. The rising of artificial intelligence provides a great opportunity to further popularize iris recognition. Convolutional neural network is a practical algorithm that is highly suitable for image processing and pattern recognition, its effectiveness and flexibility allows it to be used in many fields. This study focuses on building a system of iris recognition based on convolutional neural network, that is able to recognize human’s eyes precisely and efficiently.
first_indexed 2025-11-14T13:49:09Z
format Thesis
id um-9207
institution University Malaya
institution_category Local University
last_indexed 2025-11-14T13:49:09Z
publishDate 2018
recordtype eprints
repository_type Digital Repository
spelling um-92072021-08-12T20:13:53Z Iris recognition using convolutional neural network / Zhuang Yuan Zhuang, Yuan T Technology (General) TK Electrical engineering. Electronics Nuclear engineering This research aims at designing a practical system to recognize and classify human’s iris. Iris recognition is an advanced technology that is being actively researched for many decades and is gaining wider popularity. The rising of artificial intelligence provides a great opportunity to further popularize iris recognition. Convolutional neural network is a practical algorithm that is highly suitable for image processing and pattern recognition, its effectiveness and flexibility allows it to be used in many fields. This study focuses on building a system of iris recognition based on convolutional neural network, that is able to recognize human’s eyes precisely and efficiently. 2018 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/9207/1/Zhuang_Yuan.jpg application/pdf http://studentsrepo.um.edu.my/9207/11/yuan.pdf Zhuang, Yuan (2018) Iris recognition using convolutional neural network / Zhuang Yuan. Masters thesis, University of Malaya. http://studentsrepo.um.edu.my/9207/
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Zhuang, Yuan
Iris recognition using convolutional neural network / Zhuang Yuan
title Iris recognition using convolutional neural network / Zhuang Yuan
title_full Iris recognition using convolutional neural network / Zhuang Yuan
title_fullStr Iris recognition using convolutional neural network / Zhuang Yuan
title_full_unstemmed Iris recognition using convolutional neural network / Zhuang Yuan
title_short Iris recognition using convolutional neural network / Zhuang Yuan
title_sort iris recognition using convolutional neural network / zhuang yuan
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
url http://studentsrepo.um.edu.my/9207/
http://studentsrepo.um.edu.my/9207/1/Zhuang_Yuan.jpg
http://studentsrepo.um.edu.my/9207/11/yuan.pdf