While biometric authentication has advanced significantly in recent years, evidence shows
the technology can be susceptible to malicious spoofing attacks. The research community …

The performance of a biometric system that relies on a single biometric modality (eg,
fingerprints only) is often stymied by various factors such as poor data quality or limited …

Research on non-intrusive software-based face spoofing detection schemes has been
mainly focused on the analysis of the luminance information of the face images, hence …

Though having achieved some progresses, the hand-crafted texture features, eg, LBP [23],
LBP-TOP [11] are still unable to capture the most discriminative cues between genuine and …

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 …

Biometric systems are exposed to spoofing attacks which may compromise their security,
and voice biometrics based on automatic speaker verification (ASV), is no exception. To …

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 …

Any biometric recognizer is vulnerable to spoofing attacks and hence voice biometric, also
called automatic speaker verification (ASV), is no exception; replay, synthesis, and …

The vulnerability of finger vein recognition to spoofing is studied in this paper. A collection of
spoofing finger vein images has been created from real finger vein samples. Finger vein …

Face antispoofing is important to practical face recognition systems. In previous works, a
generic antispoofing classifier is trained to detect spoofing attacks on all subjects. However …