Iris Recognition Using Artificial Neural Network

Fatin Zuriah, Mohammad Zuhary (2014) Iris Recognition Using Artificial Neural Network. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 pages) Iris Recognition Using Artificial Neural Network 24 Pages.pdf - Submitted Version Download (408kB)

Abstract

Iris recognition is a biometrical based technology for personal identification and verification. Iris recognizes a person from his/her iris prints and analyses the features that have the coloured tissue surrounding the pupil. The iris is an internal organ because it is well protected by the eyelid and the cornea from environmental damage. Old identification system use password, token cards or pins. However, these security methods are not efficient enough due to forgotten, stolen and borrowed. Therefore, in this project iris recognition using artificial neural network are proposed because of iris uniqueness and stability. The development tool of iris recognition used is MATLAB and will focus on the software to perform recognition. The performance of iris recognition is expected to be more than 80% recognizable.

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