The human face is considered the prime entity in recognizing a person's identity in our
society. Henceforth, the importance of face recognition systems is growing higher for many …

Face Recognition is considered one of the most common biometric solutions these days and
is widely used across a range of devices for various security purposes. The performance of …

With the widespread use of biometric systems, the demographic bias problem raises more
attention. Although many studies addressed bias issues in biometric verification, there are …

While deep neural networks (DNNs) have made remarkable advancements in various fields
recently, the latest research indicates that DNNs are susceptible to disruptions from minor …

Mobile device authentication has been a highly active research topic for over 10 years, with
a vast range of methods proposed and analyzed. In related areas, such as secure channel …

In this paper, we present the architecture of a smart imaging sensor (SIS) for face
recognition, based on a custom-design smart pixel capable of computing local spatial …

The non-intrusive nature and high accuracy of face recognition algorithms have led to their
successful deployment across multiple applications ranging from border access to mobile …

Abstract Machine learning algorithms especially deep neural networks have seen
tremendous growth in their real-world deployment. While these algorithms have to yield high …

Incremental learning enables the learner to accommodate new knowledge without retraining
the existing model. It is a challenging task that requires learning from new data and …

Presentation attack detection (PAD) algorithms have become an integral requirement for the
secure usage of face recognition systems. As face recognition algorithms and applications …