This paper builds upon a previously proposed automatic palmprint alignment and
classification system. The proposed system was geared towards palmprints acquired from …

As a relatively new biometric modality, palmprint attracts much attention for its rich intrinsic
features and high commercial prospects. Most existing palmprint recognition methods only …

Due to security imperatives, biometrics has attracted a lot of attention in recent decades.
Biometric recognition refers to the identification of individuals based on their physiological …

Unconstrained palmprint images have shown great potential for recognition applications
due to their lower restrictions regarding hand poses and backgrounds during contactless …

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 …

As an effective method of biometrics, palmprint recognition allows the safe identity
recognition of humans without spatial and temporal limitations. To build a more robust …

This paper presents a comprehensive study of deep learning methods and datasets used for
solving the palmprint recognition problem. The quality of image embeddings provided by …

Palm image acquisition without contact has advantages in user convenience and hygienic
issues, but such images generally display more image variations than those acquired …

As a type of biometric recognition, palmprint recognition uses unique discriminative features
on the palm of a person to identify his/her identity. It has attracted much attention because of …

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