The accuracies for many pattern recognition tasks have increased rapidly year by year,
achieving or even outperforming human performance. From the perspective of accuracy …

Iris images captured in non-cooperative environments often suffer from adverse noise, which
challenges many existing iris segmentation methods. To address this problem, this paper …

Augmented and virtual reality deployment is finding increasing use in novel applications.
Some of these emerging and foreseen applications allow the users to access sensitive …

In this chapter, we address the problem of biometric identity recognition from the vasculature
of the human sclera. Specifically, we focus on the challenging task of multi-view sclera …

The area of ocular biometrics is among the most popular branches of biometric recognition
technology. This area has long been dominated by iris recognition research, while other …

Iris recognition has emerged as one of the most accurate and convenient biometric for
person identification and has been increasingly employed in a wide range of e-security …

Augmented and virtual reality is being deployed in different fields of applications. Such
applications might involve accessing or processing critical and sensitive information, which …

The generalization ability of Convolutional neural networks (CNNs) for biometrics drops
greatly due to the adverse effects of various occlusions. To this end, we propose a novel …

Multimodal biometric systems provide prospective advantages over traditional unimodal
systems and are employed diversely for numerous applications. However, issues of data …

Nowadays, biometric-based authentication is gaining immense popularity due to the
widespread usage of digital activities. Among various biometric traits, the iris is one of the …