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 …

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

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 …

Contactless palmprint recognition has recently made significant progress in palm-scanning
payment and social security. However, most existing methods are based on handcrafted …

Multimodal biometric systems are often used in a wide variety of applications where high
security is required. Such systems show several merits in terms of universality and …

Palmprint recognition provides a potential solution for noninvasive personal authentication
due to its excellent contactless property and user-security, and it has attracted tremendous …

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 …

In this article, we propose a collaborative palmprint-specific binary feature learning method
and a compact network consisting of a single convolution layer for efficient palmprint feature …

Most multi-modal biometric systems use multiple devices to capture different traits and
directly fuse multi-modal data while ignoring correlation information between modalities. In …

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 …