As a considerable breakthrough in artificial intelligence, deep learning has gained great
success in resolving key computer vision challenges. Accurate segmentation of the iris …

The wide deployment of biometric recognition systems has raised several concerns
regarding their security. Among other threats, morphing attacks consist of the infiltration of …

The last decade has seen a revolution in the theory and application of machine learning and
pattern recognition. Through these advancements, variable ranking has emerged as an …

Smart control access to any service and/or critical data is at the very basis of any smart
project. Biometrics have been used as a solution for system access control, for many years …

In recent years, the iris recognition system has been gaining increasing acceptance for
applications such as access control and smartphone security. When the images of the iris …

Biometric authentication has become a popular and required approach to increase
dynamism and security of shared information or place. But single modality fails to fulfill the …

In the era of biometric research the recent developments in real time biometric world, iris
recognition is considered as one of the most important approach used in person …

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 …

In this paper, we propose and investigate a novel iris weight map method for iris matching
stage to improve less constrained iris recognition. The proposed iris weight map considers …

Iris recognition is proving to be one of the most reliable biometric authentication systems.
Since biometric authentication systems store multiple templates per user, there is need to …