Myoelectric control is filled with potential to significantly change human–robot interaction
due to the ability to non-invasively measure human motion intent. However, current control …

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 …

Biometric recognition is a trending technology that uses unique characteristics data to
identify or verify/authenticate security applications. Amidst the classically used biometrics …

Morphing attacks are a threat to biometric systems where the biometric reference in an
identity document can be altered. This form of attack presents an important issue in …

In this chapter, we give an overview of spoofing attacks and spoofing countermeasures for
face recognition systems, with a focus on visual spectrum systems (VIS) in 2D and 3D, as …

While more accurate and reliable than ever, the trustworthiness of biometric verification
systems is compromised by the emergence of spoofing attacks. Responding to this threat …

Morphing attacks is a threat to biometric systems where the biometric reference in an identity
document can be altered. This form of attack presents an important issue in applications …

Pattern recognition and machine learning research work often contains experimental results
on real-world data, which corroborates hypotheses and provides a canvas for the …

The vulnerability of deep‐learning‐based face‐recognition (FR) methods, to presentation
attacks (PA), is studied in this study. Recently, proposed FR methods based on deep neural …