While the Internet of Things (IoT) devices, such as smartwatches, provide a range of services
from managing financial transactions to monitoring smart homes, these devices often lead to …

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 …

Multimodal biometric systems have been widely applied in many real-world applications due
to its ability to deal with a number of significant limitations of unimodal biometric systems …

Person search in real-world scenarios is a new challenging computer version task with
many meaningful applications. The challenge of this task mainly comes from:(1) unavailable …

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

A novel method for person identification based on the fusion of iris and periocular biometrics
has been proposed in this paper. The challenges for image acquisition for Near-Infrared or …

The recent widespread development of connected sensors, cloud, big data analytics, and
ubiquitous sensing technologies have facilitated cognitive Internet of things (CIoT) and its …

Iris image-based biometric systems are commonly used in applications that demand
security, authentication, recognition and faster login access. In solving these real-time …

In recent years, person reidentification has received growing attention with the increasing
popularity of intelligent video surveillance. This is because person reidentification is critical …

Cataract surgery remains the only definitive treatment for visually significant cataracts, which
are a major cause of preventable blindness worldwide. Successful performance of cataract …