As one promising branch of biometrics, palmprint recognition has received significant
attention and made extraordinary progress in the past decades. The crucial step of palmprint …

Cross-dataset palmprint recognition promotes the convenience and flexibility of palmprint
recognition. However, most of the current cross-dataset palmprint recognition methods need …

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

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

Palmprint contains rich unique features such as lines and textures for reliable personal
authentication. There have been a number of methods proposed for palmprint recognition in …

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

Deep learning-based palmprint recognition algorithms have obtained promising
performance. However, the previous methods require a large amount of labeled samples …

Palmprint has attracted increasing attention due to its several advantages in the biometrics
field. Deep learning has achieved remarkable performance in the computer vision area, so a …

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

Nowadays, many efficient palmprint recognition algorithms have emerged. However,
previous algorithms can only be used in a single domain. Furthermore, they also require a …