A Review on Segmentation techniques for Iris Recognition System

With an increasing emphasis on security, Iris recognition has gained a great attention in both research and practical applications over the past decade. The demand for iris recognition in the various fields of access control reducing fraudulent transactions in electronic commences, security at border areas etc is increasing day by day due to its high accuracy, reliability and uniqueness. It is the most powerful verification (1:1) and identification (1:N) feature among all other biometric modalities as human iris remains unchanged during whole of the life. The process of iris recognition is divided into four stages: Iris segmentation, Normalization, Feature Extraction and Template Matching. The goal of this review paper is to discuss various segmentation techniques of iris recognition system used by different researchers for preprocessing stage. Keywords— Active contour technique, Canny edge detection, Iris recognition, Segmentation.