The palmprint images contains a multitude of unique characteristics for human identity
recognition, making it the most potential and influential research content in biometric …

Palmprint recognition has drawn increasingly attentions in the past decade due to its
uniqueness and reliability. Traditional palmprint recognition methods usually use high …

Deep palmprint recognition has become an emerging issue with great potential for personal
authentication on handheld and wearable consumer devices. Previous studies of palmprint …

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 …

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

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

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 …

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

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