Images of a human iris contain rich texture information useful for identity authentication. A
key and still open issue in iris recognition is how best to represent such textural information …

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 …

Iris recognition has emerged as the more accurate, convenient, and low-cost biometric
approach to authenticate human subjects. However, the accuracy offered by current popular …

Iris recognition is one of the most promising fields in biometrics. Notwithstanding this, there
are not so many research works addressing it by machine learning techniques. In this …

Poor quality images can significantly affect the accuracy of iris-recognition systems because
they do not have enough feature information. However, existing quality measures have …

Iris recognition typically involves three steps, namely, iris image preprocessing, feature
extraction, and feature matching. The first two steps of iris recognition have been well …

With an increasing emphasis on security, automated personal identification based on
biometrics has been receiving extensive attention over the past decade. Iris recognition, as …

As a reliable approach to human identification, iris recognition has received increasing
attention in recent years. The most distinguishing feature of an iris image comes from the …

This paper presents a novel iris recognition system based on machine learning methods.
The motivation behind this research resides in the interrelatedness of biometric systems and …

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