Palmprint biometrics garner heightened attention in palm-scanning payment and social
security due to their distinctive attributes. However, prevailing methodologies singularly …

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

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

Palmprint-based biometric recognition has received tremendous attention due to its several
advantages such as high security, non-invasive and good hygiene propensities. Recent …

Unconstrained palmprint images have shown great potential for recognition applications
due to their lower restrictions regarding hand poses and backgrounds during contactless …

As a relatively new biometric modality, palmprint attracts much attention for its rich intrinsic
features and high commercial prospects. Most existing palmprint recognition methods only …

Deep learning-based palmprint recognition algorithms have shown great potential. Most of
them are mainly focused on identifying samples from the same dataset. However, they may …

Palmprint recognition has seen significant advancements and garnered considerable
attention recently. However, deep learning methods have yet to effectively incorporate …

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

State-of-the-art palmprint recognition methods have achieved significant performances.
However, most of the existing methods are focused on particular scenarios such as a …