This paper presents a comprehensive survey examining the prevailing feature extraction
methodologies employed within biometric palmprint recognition models. It encompasses a …

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 …

Hand or Palm print recognition systems are one of the efficient people recognition and
authentication systems that provide high-security levels by approving the entering and …

Palmprint recently shows great potential in recognition applications as it is a privacy-friendly
and stable biometric. However, the lack of large-scale public palmprint datasets limits further …

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

Palmprints are private and stable information for biometric recognition. In the deep learning
era, the development of palmprint recognition is limited by the lack of sufficient training data …

Contactless palmprint recognition, an emerging biometric technology, has attracted
increasing attention due to its noninvasive and high practicability characteristics. Although it …

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 …

With the development of IoT and mobile devices, cross-device palmprint recognition is
becoming an emerging research topic in multimedia for its great application potential. Due to …

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