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 …

Despite significant advances in iris recognition (IR), the efficient and robust IR at scale and
in non-ideal conditions presents serious performance issues and is still ongoing research …

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 personal identification approaches using iris images are receiving increasing attention
in the biometrics literature. Several methods have been presented in the literature and those …

Noncontact biometrics such as face and iris have additional benefits over contact-based
biometrics such as fingerprint and hand geometry. However, three important challenges …

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 …

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 …

Recognition of iris based on visible light (VL) imaging is a difficult problem because of the
light reflection from the cornea. Nonetheless, pigment melanin provides a rich feature source …

Iris biometrics research has largely ignored the problems associated with variations in pupil
dilation between the enrollment image and the image to be recognized or verified. Indeed, in …

Iris Recognition: The Path Forward Page 1 COMPUTER 30 COVER FEATURE Published by
the IEEE Computer Society 0018-9162/10/$26.00 © 2010 IEEE led scientists to postulate that …