Contactless personal identification using biometrics characteristics brings multifaceted
advantages with improved hygiene, user security, and the convenience. Such imaging also …

In the past years, deep convolutional neural networks (CNNs) have become extremely
popular in the computer vision and pattern recognition community. The computational power …

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

With the increasing needs in security systems, vein recognition is one of the important and
reliable solutions of identity security for biometrics-based identification systems. The obvious …

This paper introduces a generalized palmprint identification framework to unify several state-
of-art 2D and 3D palmprint methods. Through this framework, we argue that the methods …

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 is widely used in personal identification for an accurate and robust recognition. To
improve the existing palmprint systems, the proposed system, which is the first on-line …

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 has been found to possess distinct features for reliable person identification and
gender classification. Traditionally, the palmprint-based recognition approaches often rely …