Few-shot learning is challenging in unconstrained palmprint recognition, where the
palmprint images are collected by unconstrained acquisitions, ie, different imaging sensors …

In recent years, palmprint-based recognition technology has become one of the hotspots in
biometrics research. The accuracy of traditional palmprint recognition algorithms mainly …

Palmprint is one of the discriminant biometric modalities of humans. Recently, deep learning-
based palmprint recognition algorithms have improved the accuracy and robustness of …

Unconstrained Palmprint Recognition (UPR) shows engaging potential owing to its high
hygiene and privacy. The unconstrained acquisition usually produces wide variations …

Palmprint recognition is one of the effective biometric technologies due to the advantages of
convenience and safety. Recently, many deep learning-based methods are utilized in …

Palmprint is one of the discriminant biometrical features of humans. Recognizing palmprints
in complex environments is a significant multimedia task, which is highly suitable for …

At present, palmprint recognition based on deep learning has been more and more widely
used in identity recognition due to its many advantages. However, these algorithms often …

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

Touchless biometrics has become significant in the wake of novel coronavirus 2019 (COVID-
19). Due to the convenience, user-friendly, and high-accuracy, touchless palmprint …

With the widespread application of biometrics in identification systems, palmprint recognition
technology, as an emerging biometric technology, has received more and more attention in …