Finger vein recognition biometric trait is a significant biometric modality that is considered
more secure, reliable, and emerging. This article presents a review to focus on the recent …

Biometric technology, including finger vein, fingerprint, iris, and face recognition, is widely
used to enhance security in various devices. In the past decade, significant progress has …

Today, with the rapid development of economic level, people's esthetic requirements are
also rising, they have a deeper emotional understanding of art, and the voice of their …

Recent threats to deep learning-based biometric authentication systems stem from
adversarial attacks exploiting vulnerabilities in deep learning models. While existing studies …

Gait recognition can exploit the signals from wearables, eg, the accelerometers embedded
in smart devices. At present, this kind of recognition mostly underlies subject verification: the …

Multimodal biometric recognition has attracted more and more attention in recent years
because of its security and accuracy. Compared with the single use of fingerprint or finger …

Common underwater target recognition systems suffer from low accuracy, high energy
consumption, and low levels of automation. This paper introduces an underwater target …

Protecting digital identities of human face from various attack vectors is paramount, and face
anti-spoofing plays a crucial role in this endeavor. Current approaches primarily focus on …

Face spoofing detection could be used in conjunction with face recognition or facial
expression recognition in social robots for better interaction with the users. Recent works …

Biometric recognition has become integral to almost all current electronic devices and
applications that need authentication and verification. Different methods for biometric …