Enhanced Iris Recognition for Person Identification

Abstract

Iris recognition is a secure biometric for personal identification. Commonly used biometric are voice, face, fingerprint, iris etc. Among this iris recognition is considered as more accurate, because iris is externally visible and the texture patterns are unique and stable throughout a person’s whole life. The main steps involved in iris recognition are pre-processing, feature extraction and feature matching. Unique preprocessing methods are mentioned in this work. The feature extraction phase is imperative in iris recognition task. Here in this work feature extraction utilizing Discrete Wavelet Transform (DWT) and matching of iris pictures utilizing Euclidean distance.