Feature Extraction Techniques for Iris Recognition System: A Survey

Y.A, Adekunle,; O, Aiyeniko,

Feature Extraction Techniques for Iris Recognition System: A Survey

International Journal of Innovative Research in Computer Science & Technology (IJIRCST), ISSN: 2347-5552, Volume-8, Issue-2, March 2020

6 Pages Posted: 12 May 2020

See all articles by Adekunle, Y.A

Adekunle, Y.A

Department of Computer Science (Project Management Option), Babcock University, Illsan-Remo, Nigeria

Aiyeniko, O

Department of Computer Science (Project Management Option), Babcock University, Illsan-Remo, Nigeria

Date Written: 2020

Abstract

The extraction of features involves the method of converting the original pixel values of an image to more meaningful, useful and measurable information that can be used in other techniques, such as image processing, pattern recognition and machine learning. The feature extraction plays a predominant role in iris recognition in which also the recognition rate is determined. The effective recognition accuracy, reduction of mis-classification of two iris templates mostly depends on feature extraction techniques. An efficient iris recognition system requires that the discriminating information presents in an iris pattern to be accurately obtained. This paper performed a literature review on different techniques of feature extraction of iris recognition. The recommendation was made on how these techniques can be further enhanced to produce an effective iris recognition system.

Keywords: Biometrics, Computer Vision, Feature Extraction, Pattern Recognition

Suggested Citation: Suggested Citation

Y.A, Adekunle, and O, Aiyeniko,, Feature Extraction Techniques for Iris Recognition System: A Survey (2020). International Journal of Innovative Research in Computer Science & Technology (IJIRCST), ISSN: 2347-5552, Volume-8, Issue-2, March 2020 , Available at SSRN: https://ssrn.com/abstract=3578701