A large number of intelligent models for masked face recognition (MFR) has been recently
presented and applied in various fields, such as masked face tracking for people safety or …

Palmprint has gained popularity as a biometric modality and has recently attracted
significant research interest. The competition-based method is the prevailing approach for …

Epilepsy is a prevalent neurological disorder that poses life-threatening emergencies. Early
electroencephalogram (EEG) seizure detection can mitigate the risks and aid in the …

Palmprint recognition has been widely used in security authentication. However, most of the
existing palmprint representation methods are focused on a special application scenario …

Deep learning-based palmprint recognition methods have made good progress and
obtained promising performance. However, most of them are mainly focused on …

Palmprint recognition achieves high discrimination for identity verification. Compared with
handcrafted local texture descriptors, convolutional neural networks (CNNs) can …

Palmprint recognition has received tremendous research interests due to its outstanding
user-friendliness such as non-invasive and good hygiene properties. Most recent palmprint …

INTRODUCTION: Heart disease (HD) has been identified as one of the deadly diseases,
which affects the human beings of all ages worldwide. In such a scenario, Data Mining (DM) …

Age estimation from face images has attracted much attention due to its favorable and many
real-world applications such as video surveillance and social networking. However, most …

In this paper, we propose a new biometric template protection scheme, which can deal with
the finger vein biometric security threats, through using the LDM and RetinexGAN model …