Over the last few years, the adoption of machine learning in a wide range of domains has
been remarkable. Deep learning, in particular, has been extensively used to drive …

As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …

Recent advances in media generation techniques have made it easier for attackers to create
forged images and videos. State-of-the-art methods enable the real-time creation of a forged …

Iris recognition refers to the automated process of recognizing individuals based on their iris
patterns. The seemingly stochastic nature of the iris stroma makes it a distinctive cue for …

With the wide deployment of the face recognition systems in applications from deduplication
to mobile device unlocking, security against the face spoofing attacks requires increased …

The use of human finger-vein traits for the purpose of automatic user recognition has gained
a lot of attention in recent years. Current state-of-the-art techniques can provide relatively …

The revolution in computer hardware, especially in graphics processing units and tensor
processing units, has enabled significant advances in computer graphics and artificial …

Biometric systems are increasingly replacing traditional password-and token-based
authentication systems. Security and recognition accuracy are the two most important …

With the growing use of biometric authentication systems in the recent years, spoof
fingerprint detection has become increasingly important. In this paper, we use convolutional …

Recently deep Convolutional Neural Networks have been successfully applied in many
computer vision tasks and achieved promising results. So some works have introduced the …