This survey covers the historical development and current state of the art in image
understanding for iris biometrics. Most research publications can be categorized as making …

The iris is regarded as one of the most useful traits for biometric recognition and the
dissemination of nationwide iris-based recognition systems is imminent. However, currently …

In two editions spanning more than a decade, The Electrical Engineering Handbook stands
as the definitive reference to the multidisciplinary field of electrical engineering. Our …

This paper presents a novel iris coding method based on differences of discrete cosine
transform (DCT) coefficients of overlapped angular patches from normalized iris images. The …

The human iris is a magnificent asset that can be used reliably for identifying purposes. It
can eventually recognize humans with a serve degree of assertiveness. The extraction of …

This paper focuses on noncooperative iris recognition, ie, the capture of iris images at large
distances, under less controlled lighting conditions, and without active participation of the …

Iris Biometrics: From Segmentation to Template Security provides critical analysis,
challenges and solutions on recent iris biometric research topics, including image …

Iris is a coloured muscle present inside the eye which helps in controlling the amount of light
entering the eye. It has several unique textural information, which does not get altered or …

A data augmentation methodology is presented and applied to generate a large dataset of
off-axis iris regions and train a low-complexity deep neural network. Although of low …

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 …