Iris recognition is a very reliable biometric modality for human identification. The immutable
and unique characteristics of the iris are the foundations for that claim. Currently, research …

Recently, iris recognition techniques have achieved great performance in identification.
Among authentication techniques, iris recognition systems have received attention very …

Scale-invariant feature transform (SIFT), which represents a general purpose image
descriptor, has been extensively used in the field of biometric recognition. Focusing on iris …

In this paper, we propose three discriminative feature selection strategies and weighted
subregion matching method to improve the performance of iris recognition system. Firstly …

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 …

Most state-of-the-art iris recognition algorithms claim to perform with a very high recognition
accuracy in a strictly controlled environment. However, their recognition accuracies …

This paper proposes algorithms for iris segmentation, quality enhancement, match score
fusion, and indexing to improve both the accuracy and the speed of iris recognition. A curve …

In this paper, we present a generalized boosting framework to tackle some challenging
problems in practical remote iris recognition, namely, iris detection, iris mislocalization …

The randomness of iris pattern makes it one of the most reliable biometric traits. On the other
hand, the complex iris image structure and the various sources of intra-class variations result …

Iris-based biometric authentication is gaining importance in recent times. Iris biometric
processing however, is a complex process and computationally very expensive. In the …