Abstract 3D face recognition (3DFR) has emerged as an effective means of characterizing
facial identity over the past several decades. Depending on the types of techniques used in …

Detecting digital face manipulation has attracted extensive attention due to the potential
harms of fake media to the public. However, recent advances have been able to reduce the …

Many researchers focus on the local feature-based description of the dynamic texture,
because of its stability and low dimensionality. Among the existing dynamic texture …

Face presentation attacks (PA) are a serious threat to face recognition (FR) applications.
These attacks are easy to execute and difficult to detect. An attack can be carried out simply …

Along with the widespread use of face recognition systems, their vulnerability has become
highlighted. While existing face anti-spoofing methods can be generalized between attack …

In light of the rising demand for biometric-authentication systems, preventing face spoofing
attacks is a critical issue for the safe deployment of face recognition systems. Here, we …

Face Recognition is a widely used authentication method deployed for accessing personal
digital devices like mobiles and laptops, digital door locks, or various security applications …

The rapid development of biometric methods and their implementation in practice has led to
the widespread attacks called spoofing, which are purely biometric vulnerabilities, but are …

Using multi-modal data, such as VIS, IR and Depth, for face anti-spoofing (FAS) is a robust
and effective method, because complementary information between different modalities can …

Identity theft has had a detrimental impact on the reliability of face recognition, which has
been extensively employed in security applications. The most prevalent are presentation …