As an important biometric trait, palmprint has been widely studied in individual identification.
With the popularity of palmprint recognition, many palmprint acquisition devices with …

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

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

Recently, excellent palmprint recognition algorithms have emerged and achieved
satisfactory performance. However, cross-domain palmprint recognition is rarely considered …

In this paper, we present a novel bidirectional aggregated features representation from
convolutional neural networks (CNNs) with score-level fusion for palmprint recognition. Our …

Cross-dataset palmprint recognition promotes the convenience and flexibility of palmprint
recognition. However, most of the current cross-dataset palmprint recognition methods need …

Heterogeneous palmprint recognition has attracted considerable research attention in
recent years because it has the potential to greatly improve the recognition performance for …

Various palmprint recognition methods have been proposed and applied in security,
particularly authentication. However, improving the performance of palmprint recognition …

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 …

Nowadays, palmprint recognition has been well developed since plenty of promising
algorithms have emerged. Palmprints have also been applied under various authentication …