This paper presents a comprehensive survey examining the prevailing feature extraction
methodologies employed within biometric palmprint recognition models. It encompasses a …

Soft-biometrics play an important role in face biometrics and related fields since these might
lead to biased performances, threaten the user's privacy, or are valuable for commercial …

We address the use of selfie ocular images captured with smartphones to estimate age and
gender. Partial face occlusion has become an issue due to the mandatory use of face …

This paper proposes a novel age estimation algorithm, the Temporally-Aware Adaptive
Graph Convolutional Network (TAA-GCN). Using a new representation based on graphs, the …

With the unprecedented mobile technology revolution, mobile devices have transcended
from being the primary means of communication to an all-in-one platform. Consequently, an …

Recent regulations to block the widespread transmission of COVID-19 disease among
people impose the use of facial masks indoor and outdoor. Such restriction becomes critical …

COVID‐19 has had an inevitable impact on the daily life of people in 2020. Changes in
behavior such as wearing masks have a considerable impact on biometric systems …

Recent research has questioned the fairness of face-based recognition and attribute
classification methods (such as gender and race) for dark-skinned people and women …

Face recognition is a technology that automatically identifies individuals and has been
extensively deployed in various domains, including finance, military, daily life, and public …

Contactless and efficient systems are implemented rapidly to advocate preventive methods
in the fight against the COVID-19 pandemic. Despite the positive benefits of such systems …