Toward unconstrained palmprint recognition on consumer devices: A literature review

AS Ungureanu, S Salahuddin, P Corcoran - IEEE Access, 2020 - ieeexplore.ieee.org
As a biometric modality, palmprints have been largely under-utilized, but they offer some
advantages over fingerprints and facial biometrics. Recent improvements in imaging …

Few-shot learning for palmprint recognition via meta-siamese network

H Shao, D Zhong, X Du, S Du… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Palmprint is one of the discriminant biometric modalities of humans. Recently, deep learning-
based palmprint recognition algorithms have improved the accuracy and robustness of …

Rpg-palm: Realistic pseudo-data generation for palmprint recognition

L Shen, J **, R Zhang, H Li, K Zhao… - Proceedings of the …, 2023 - openaccess.thecvf.com
Palmprint recently shows great potential in recognition applications as it is a privacy-friendly
and stable biometric. However, the lack of large-scale public palmprint datasets limits further …

Towards open-set touchless palmprint recognition via weight-based meta metric learning

H Shao, D Zhong - Pattern Recognition, 2022 - Elsevier
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 …

Contactless palmprint identification using deeply learned residual features

Y Liu, A Kumar - … on Biometrics, Behavior, and Identity Science, 2020 - ieeexplore.ieee.org
Contactless and online palmprint identification offers improved user convenience, hygiene,
user-security and is highly desirable in a range of applications. This paper proposes an …

Deep distillation hashing for unconstrained palmprint recognition

H Shao, D Zhong, X Du - IEEE Transactions on Instrumentation …, 2021 - ieeexplore.ieee.org
Deep palmprint recognition has become an emerging issue with great potential for personal
authentication on handheld and wearable consumer devices. Previous studies of palmprint …

Learning Frequency-Aware Common Feature for VIS-NIR Heterogeneous Palmprint Recognition

L Fei, L Su, B Zhang, S Zhao, J Wen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Palmprint recognition has shown great value for biometric recognition due to its advantages
of good hygiene, semi-privacy and low invasiveness. However, most existing palmprint …

Learning modality-invariant binary descriptor for crossing palmprint to palm-vein recognition

L Su, L Fei, S Zhao, J Wen, J Zhu, S Teng - Pattern recognition letters, 2023 - Elsevier
Palmprint has shown promising potential for biometrics recognition due to its excellent
contactless and hygienic properties. However, most existing methods focus only on feature …

Towards cross-dataset palmprint recognition via joint pixel and feature alignment

H Shao, D Zhong - IEEE Transactions on Image Processing, 2021 - ieeexplore.ieee.org
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 …

LSFM: Light Style and Feature Matching for Efficient Cross-Domain Palmprint Recognition

S Ruan, Y Li, H Qin - IEEE Transactions on Information …, 2024 - ieeexplore.ieee.org
The exceptional feature extraction capabilities of deep neural networks (DNNs) have
significantly advanced palmprint recognition. However, DNNs typically require training and …