The increasing demand for traveler clearance at international border crossing points (BCPs)
has motivated research for finding more efficient solutions. Automated border control (ABC) …

Over the past two decades, biometric recognition has exploded into a plethora of different
applications around the globe. This proliferation can be attributed to the high levels of …

We present DeepPrint, a deep network, which learns to extract fixed-length fingerprint
representations of only 200 bytes. DeepPrint incorporates fingerprint domain knowledge …

The morphing attack proved to be a serious threat for modern automated border control
systems where face recognition is used to link the identity of a passenger to his/her e …

Matching contactless fingerprints or finger photos to contact-based fingerprint impressions
has received increased attention in the wake of COVID-19 due to the superior hygiene of the …

A major impediment to researchers working in the area of fingerprint recognition is the lack
of publicly available, large-scale, fingerprint datasets. The publicly available datasets that do …

Morphing attacks have posed a severe threat to Face Recognition System (FRS). Despite
the number of advancements reported in recent works, we note serious open issues such as …

Face recognition in controlled environments is nowadays considered rather reliable, and if
face is acquired in proper conditions, a good accuracy level can be achieved by state-of-the …

The use of vision transformers (ViT) in computer vision is increasing due to its limited
inductive biases (eg, locality, weight sharing, etc.) and increased scalability compared to …

A major limitation to advances in fingerprint presentation attack detection (PAD) is the lack of
publicly available, large-scale datasets, a problem which has been compounded by …