The rapid development of Artificial Intelligence (AI) technology has enabled the deployment
of various systems based on it. However, many current AI systems are found vulnerable to …

From holistic low-dimension feature-based segmentation to deep polynomial neural
networks, Face Recognition (FR) accuracy has increased dramatically since its early days …

For face authentication to become widespread on mobile devices, robust countermeasures
must be developed for face presentation-attack detection (PAD). Existing databases for …

Face has been used as one of the mainstream manners for user identification. However,
with the popularity of face-swapping apps, it takes only a few seconds to change the faces …

System and techniques for preventing face-based authenti cation spoofing are described
herein. A visible light emitter may be controlled to project a pattern into a camera's field of …

Face Anti-spoofing gains increased attentions recently in both academic and industrial
fields. With the emergence of various CNN based solutions, the multi-modal (RGB, depth …

Face recognition technique has been widely applied to personal identification systems due
to its satisfying performance. However, its security may be a crucial issue, since many …

Face authentication systems are becoming increasingly prevalent, especially with the rapid
development of Deep Learning technologies. However, human facial information is easy to …

The growing use of control access systems based on face recognition shed light over the
need for even more accurate systems to detect face spoofing attacks. In this paper, an …

Owing to the unprecedented growth in computing power, electronics miniaturization and
mobile and wireless network interconnections the internet has metamorphosed into Internet …