The term “iris” refers to the highly textured annular portion of the human eye that is externally
visible. An iris recognition system exploits the richness of these textural patterns to …

The lack of resolution of imaging systems has critically adverse impacts on the recognition
and performance of biometric systems, especially in the case of long range biometrics and …

Biometrics, an integral component of Identity Science, is widely used in several large-scale-
county-wide projects to provide a meaningful way of recognizing individuals. Among existing …

Online iris recognition using distantly acquired images in a less imaging constrained
environment requires the development of a efficient iris segmentation approach and …

Accurate iris recognition from the distantly acquired face or eye images requires
development of effective strategies, which can account for significant variations in the …

Remote human identification using iris biometrics has high civilian and surveillance
applications and its success requires the development of robust segmentation algorithm to …

Ocular biometrics encompasses the imaging and use of characteristic features extracted
from the eyes for personal recognition. Ocular biometric modalities in visible light have …

A long-time chief data scientist at Amazon shows how open data can make everyone, not
just corporations, richer Every time we Google something, Facebook someone, Uber …

Iris recognition from at-a-distance face images has high applications in wide range of
applications such as remote surveillance and for civilian identification. This paper presents a …

Today, cameras and digital image processing are transforming industries and the human
environment with rich, informative sensing. However, image processing is not utilized nearly …