Palmprint recognition has been widely applied to security authentication due to its rich
characteristics, ie, local direction, wrinkle, and texture. However, different types of palmprint …

In this article, we propose a joint multiview feature learning (JMvFL) method for hand-print
recognition including both finger-knuckle-print (FKP) and palmprint recognition. Unlike most …

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 …

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

This paper proposes a finger-knuckle-print based authentication system by fusing multiple
texture features. It contains new algorithms for extracting region of interest (ROI) with the …

The lack of large-scale data seriously hinders the development of palmprint recognition.
Recent approaches address this issue by generating large-scale realistic pseudo palmprints …

Palmprint recognition has received tremendous research interests due to its outstanding
user-friendliness such as non-invasive and good hygiene properties. Most recent palmprint …

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

Multibiometric recognition has become one of the most important solutions for enhancing
overall personal recognition performance due to several inherent limitations of unimodal …

Biometric-based authentication is widely deployed on multimedia systems currently;
however, biometric systems are vulnerable to image-level attacks for impersonation …