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 …

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

De-duplication of biometrics is not scalable when the number of people to be enrolled into
the biometric system runs into billions, while creating a unique identity for every person. In …

Security breaches due to misidentification of an individual pose one of the greatest threats
and challenges for today's world. The use of biometrics can be quite promising in minimising …

Nowadays, Glaucoma is one of the chronical diseases that entirely make the human eyes
into the blindness. This disease is a consequence of an accumulation of aqueous humor in …

In a large-scale iris-based identification system, iris classification is an important indexing
task to reduce the search time in a large database for accurate matching, especially in a de …

We used an iris image collection derived from UPOL (University Palacky, OLomouc)
database to test iris image identification with a new method. We extracted texture information …

Distinctive and irreversible features of the iris make its most secure and trustworthy biometric
modality for person identification. This paper presents the comparison of various scanning …

Visible light (VL) iris recognition technology [1] has a growing number of applications in the
field of security and citizen identification with the growing number of surveillance cameras …

As there is a growing demand for biometrics usage in e-Society, the biometric recognition
system faces the scalability issue as the number of people to be enrolled into the system …