IJIRCSTJournal International Journal of Innovative Research in Computer Science and Technology I S Volume 8 Issue 2 Compter Science English March - April 2020 N N Y 2020 04 04 Computer Sciences Feature Extraction Techniques for Iris Recognition System: A Survey English Y 37 42 Adekunle, Y.A. English Y Aiyeniko, O.* English N Eze, M.O. English N Alao, O.D. English N https://doi.org/10.21276/ijircst.2020.8.2.5 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 misclassification 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. English Biometrics, Computer vision, Feature extraction, Pattern recognition. https://ijircst.org/abstract.php?article_id=381