A Survey of Iris Recognition System

Authors

  • Ayu Fitrie Haziqah Sallehuddin School of Computer and Communication Engineering, Universiti Malaysia Perlis, Kampus Pauh Putra, 02600, Perlis
  • Muhammad Imran Ahmad School of Computer and Communication Engineering, Universiti Malaysia Perlis, Kampus Pauh Putra, 02600, Perlis
  • Ruzelita Ngadiran School of Computer and Communication Engineering, Universiti Malaysia Perlis, Kampus Pauh Putra, 02600, Perlis
  • Mohd Nazrin Md Isa School of Microelectronic Engineering, Universiti Malaysia Perlis, Kampus Pauh Putra, 02600, Perlis

Keywords:

Biometric System, Iris Recognition, Information Fusion,

Abstract

The uniqueness of iris texture makes it one of the reliable physiological biometric traits compare to the other biometric traits. In this paper, we investigate a different level of fusion approach in iris image. Although, a number of iris recognition methods has been proposed in recent years, however most of them focus on the feature extraction and classification method. Less number of method focuses on the information fusion of iris images. Fusion is believed to produce a better discrimination power in the feature space, thus we conduct an analysis to investigate which fusion level is able to produce the best result for iris recognition system. Experimental analysis using CASIA dataset shows feature level fusion produce 99% recognition accuracy. The verification analysis shows the best result is GAR = 95% at the FRR = 0.1%

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Published

2016-07-01

How to Cite

Sallehuddin, A. F. H., Ahmad, M. I., Ngadiran, R., & Md Isa, M. N. (2016). A Survey of Iris Recognition System. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(4), 133–138. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1188

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