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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| Format: | Thesis |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://studentsrepo.um.edu.my/9207/1/Zhuang_Yuan.jpg http://studentsrepo.um.edu.my/9207/11/yuan.pdf http://studentsrepo.um.edu.my/9207/ |
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| _version_ | 1831435284205535232 |
|---|---|
| author | Zhuang, Yuan |
| author_facet | Zhuang, Yuan |
| author_sort | Zhuang, Yuan |
| building | UM Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaya |
| content_source | UM Student Repository |
| continent | Asia |
| country | Malaysia |
| 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. |
| format | Thesis |
| id | my.um.stud-9207 |
| institution | Universiti Malaya |
| publishDate | 2018 |
| record_format | eprints |
| spelling | my.um.stud-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/9207/1/Zhuang_Yuan.jpg http://studentsrepo.um.edu.my/9207/11/yuan.pdf http://studentsrepo.um.edu.my/9207/ |
| url_provider | http://studentsrepo.um.edu.my/ |