The availability of large-scale facial databases, together with the remarkable progresses of
deep learning technologies, in particular Generative Adversarial Networks (GANs), have led …

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 …

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 …

Biometric recognition, or simply biometrics, refers to the use of distinctive anatomical and/or
behavioral characteristics or identifiers (eg, fingerprints, face, iris, voice, and hand geometry) …

This paper addresses the problem of face presentation attack detection using different
image modalities. In particular, the usage of short wave infrared (SWIR) imaging is …

Current mobile user authentication systems based on PIN codes, fingerprint, and face
recognition have several shortcomings. Such limitations have been addressed in the …

Deep learning has become a breathtaking technology in the last years, overcoming
traditional handcrafted approaches and even humans for many different tasks. However, in …

We present a style-transfer based wrapper, called Universal Material Generator (UMG), to
improve the generalization performance of any fingerprint spoof (presentation attack) …

ECGs have shown unique patterns to distinguish between different subjects and present
important advantages compared to other biometric traits. However, the lack of public data …

Fingerprint-based biometric systems have experienced a large development in the past. In
spite of many advantages, they are still vulnerable to attack presentations (APs). Therefore …