As an advanced research topic in biometrics techniques, palmprint recognition has been
fully studied for more than 20 years. Due to its superiority to other biological features, ie high …

In this paper, we investigate an efficient palmprint texture modeling method that incorporates
a robust analysis based on fusing multiple information. In fact, a single descriptor alone may …

This paper describes a novel intra-modal feature fusion for palmprint recognition based on
fusing multiple descriptors to analyze the complex texture pattern. The main contribution lies …

The security of people requires a beefy guarantee in our society, particularly, with the spread
of terrorism throughout the world. In this context, palmprint identification based on texture …

In any computer vision application, integration of relevant feature extraction module is vital to
help in making accurate decision of the classification. In the literature, several methods that …

A novel palmprint recognition system (PRS) using deep supervised learning (DSL) classifier
is proposed in this research work. To divulge the novelty, a deep supervised contour fractal …

The detection of human elements is essential for securing digital data in an IoT World. It can
be accomplished utilizing different methods. The palmprint recognition of individuals is …

The security of people requires a beefy guarantee in our society, particularly, with the spread
of terrorism throughout the world. In this context, palmprint identification based on texture …