Iris recognition using convolutional neural network / Zhuang Yuan

Zhuang, Yuan (2018) Iris recognition using convolutional neural network / Zhuang Yuan. Masters thesis, University of Malaya.

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      Abstract

      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.

      Item Type: Thesis (Masters)
      Additional Information: Thesis (M.Eng.) - Faculty of Engineering, University of Malaya, 2018.
      Uncontrolled Keywords: Human’s iris; Convolutional neural network; Practical algorithm
      Subjects: T Technology > T Technology (General)
      T Technology > TK Electrical engineering. Electronics Nuclear engineering
      Divisions: Faculty of Engineering
      Depositing User: Mrs Rafidah Abu Othman
      Date Deposited: 12 Mar 2019 08:37
      Last Modified: 12 Mar 2019 08:37
      URI: http://studentsrepo.um.edu.my/id/eprint/9207

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