This paper presents an efficient algorithm for iris recognition using phase-based image matching—an image matching technique using phase components in 2D Discrete Fourier Transforms (DFTs) of given images. Experimental evaluation using the CASIA iris image databases (versions 1.0 and 2.0) and Iris Challenge Evaluation (ICE) 2005 database clearly demonstrates that the use of phase components of ...

The present paper aims to bring some interesting iris recognition related problems in attention of the artificial intelligence research community and also to mark the release of the first publicly available set of processing tools for University of Bath Iris Image Database (UBIID), tools that can be used to generate test data sets, without losing precious time. New recognition results for UBIID...

SIFT is a novel and promising method for iris recognition. However, some shortages exist in many related methods, such as difficulty of feature extraction, feature loss, and noise point introduction. In this paper, a new method named SIFT-based iris recognition with normalization and enhancement is proposed for achieving better performance. In Comparison with other SIFT-based iris recognition a...

Jong-Gook Ko et al. 399 ABSTRACT⎯With a growing emphasis on human identification, iris recognition has recently received increasing attention. Iris recognition includes eye imaging, iris segmentation, verification, and so on. In this letter, we propose a novel and efficient iris recognition method which employs a cumulative-sum-based grey change analysis. Experimental results demonstrate that t...

Recently, iris recognition had been gained growing interest from researchers because of its high accuracy against other person identification techniques. This work presents an iris recognition system based on particle swarm optimization (PSO) and Independent Component Analysis (ICA) as feature extraction algorithm. Many experiments were conducted using different: swarm size (20, 40 and 80), PSO...

A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Iris recognition is regarded as the most reliable and accurate biometric identification system available. Most commercial iris recognition systems use patented algorithms developed by Daugman, and these algorithms are able to produce perfect recognition ...

Reliable person recognition is crucial in all modern-day processes. Biometric systems have been arrayed by public and private organizations. Iris has been used as the most trusted physical attribute of human being as it is accurate, highly reliable, unchangeable and unique. Iris recognition is the identification for an individual based on iris features. In the past, many methods were used to en...

This paper presents an efficient algorithm for iris recognition using phase-based image matching. The use of phase components in twodimensional discrete Fourier transforms of iris images makes possible to achieve highly robust iris recognition with a simple matching algorithm. Experimental evaluation using the CASIA iris image database (ver. 1.0 and ver. 2.0) clearly demonstrates an efficient p...