Gait recognition is an appealing biometric modality which aims to identify individuals based
on the way they walk. Deep learning has reshaped the research landscape in this area …

Today, digitalization decisively penetrates all the sides of the modern society. One of the key
enablers to maintain this process secure is authentication. It covers many different areas of a …

In recent decades, we have witnessed the evolution of biometric technology from the first
pioneering works in face and voice recognition to the current state of development wherein a …

Pattern classification systems are commonly used in adversarial applications, like biometric
authentication, network intrusion detection, and spam filtering, in which data can be …

Several issues related to the vulnerability of fingerprint recognition systems to attacks have
been highlighted in the biometrics literature. One such vulnerability involves the use of …

Designing reliable user authentication on mobile phones is becoming an increasingly
important task to protect users' private information and data. Since biometric approaches can …

The primary purpose of a fingerprint recognition system is to ensure a reliable and accurate
user authentication, but the security of the recognition system itself can be jeopardized by …

Spoofing is the act of masquerading as a valid user by falsifying data to gain an illegitimate
access. Vulnerability of recognition systems to spoofing attacks (presentation attacks) is still …

The problem of detecting face spoofing attacks (presentation attacks) has recently gained a
well-deserved popularity. Mainly focusing on 2D attacks forged by displaying printed photos …

In this paper, we propose a novel framework leveraging the advantages of the
representational ability of deep learning and domain generalization for face spoofing …