In recent years, palm vein recognition has obtained significant attention as its uniqueness,
stable features, and high recognition rate. Although state-of-art deep learning methods can …

Abstract The feature of Enhanced Mobile Broadband (eMBB) and Cloud-Fog hybrid
architecture in 5G significantly enhance the communication and computation capabilities of …

Current face biometric systems are vulnerable to spoofing attack. In order to deal with
various spoofing attacks, such as photo attack and video replay attack, a stable anti-spoofing …

Unimodal biometrics system (UBS) drawbacks include noisy data, intra-class variance, inter-
class similarities, non-universality, which all affect the system's classification performance …

In response to the increased demand for more effective authentication methods, the usage
of biometric authentication to secure systems against unwanted access has grown. Because …

Multimodal biometric makes use of two or more biometric modalities to overcome some of
the limitations of unimodal biometric system. Feature level fusion has been shown to provide …

This study aims to introduce biometric fingerprint authentication in an automated student
attendance system using individual fingerprint minutiae features, which could effectively …

In object recognition systems based on template matching by calculating the distance metric
between preassigned templates and given object, the template selection can severely affect …

Fingerprint image quality assessment is important because the good performance of the
minutiae‐based matching algorithm is heavily dependent on fingerprint images with high …

Proving the identity of the individual today is an urgent need in many areas, including social
security, financial, criminal and other fields. Biometrics is interested in identifying individuals …