Benefiting from the advantages of safety and reliability, deep learning-based palmprint
recognition has attracted widespread attention. However, previous methods are mainly …

A palmprint is a unique and reliable biometric feature with high usability. In the past
decades, many palmprint recognition systems have been successfully developed. However …

To alleviate the limitation that the recent texture based algorithms for palmprint recognition
yield unsatisfactory robustness to the variations of orientation, position and illumination in …

Palmprint trait is emerging as a new and practical biometric solution and a few systems
using full palmprints have been proposed. However, partial palmprints left at scenes of crime …

A practical palmprint recognition system should have high recognition accuracy, fast
matching speed, and high-security capabilities. In the past decades, most previous palmprint …

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 …

In the past few years, the need for accuracy and robustness against luminosity variations
has drawn a considerable share of the palmprint research toward coding-based …

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

In recent years several palmprint representations have been proposed for personal
authentication, but there is no agreement on which palmprint representation can provide …

Palmprint verification is an important tool for authentication of an individual and it can be of
significant value in security and e-commerce applications. Palmprint identification has …