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

The challenge posed by the template-based reconstruction attack significantly impacts the
security and privacy of biometric systems. Current reconstruction techniques rely on …

Palmprint as biometrics has gained increasing attention recently due to its discriminative
ability and robustness. However, existing methods mainly improve palmprint verification …

Recently, contactless bimodal palmprint recognition technology has attracted increased
attention due to the COVID-19 pandemic. Many dual-camera-based sensors have been …

Cross-dataset palmprint recognition is an important and popular topic, which has attracted
more and more attention. In previous study, researchers are mainly focused on the …

Palmprint recognition is one of the most popular biometric technologies. Recent researches
mainly focus on the recognition performance, while pay less attention to the data protection …

Cooperative palmprint recognition, pivotal for civilian and commercial uses, stands as the
most essential and broadly demanded branch in biometrics. These applications, often tied to …

In recent years, palmprints have been extensively utilized for individual verification. The
abundance of sensitive information in palmprint data necessitates robust protection to …

Palmprint is a promising biometric modality and has several advantages. However, many
serious challenges severely restrict the development of palmprint recognition in mobile …