Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Review on Iris Recognition

Author : E Sreehari 1 Indu 2

Date of Publication :8th February 2018

Abstract: Iris Recognition has gained considerable attention in various fields such as industrial areas, vulnerable areas of defense, border areas and medical institutes, etc. Because of its high precision and uniqueness, it is used at border areas in various fields of access control and security. Thanks to their reliability, precision and uniqueness, the market for iris recognition is rising day by day. Among all other biometric features, it is the most effective recognition feature, as human iris remains unchanged throughout life. Scientists have to focus on various challenges such as images taken in unconstrained settings, noisy images, distorted images and many more for the successful functioning of the iris recognition system. The purpose of this review paper is to address steps involved in iris recognition method and different techniques used by different researchers for each stage of recognition. Iris recognition system is an accurate biometric system. Image acquisition, restoration, quality assessment, image compression, segmentation, noise reduction, normalization, feature extraction, iris code matching, large database search, applications, evaluation, performance under varying conditions, and multi-biometrics are developed in recent years.

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