Geometric Synthesis: A Free lunch for Large-scale Palmprint Recognition Model Pretraining

K Zhao, L Shen, Y Zhang, C Zhou, T Wang… - arXiv preprint arXiv …, 2022 - arxiv.org
Palmprints are private and stable information for biometric recognition. In the deep learning
era, the development of palmprint recognition is limited by the lack of sufficient training data …

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 …

[HTML][HTML] Efficient palmprint biometric identification systems using deep learning and feature selection methods

S Trabelsi, D Samai, F Dornaika, A Benlamoudi… - Neural Computing and …, 2022 - Springer
Over the past two decades, several studies have paid great attention to biometric palmprint
recognition. Recently, most methods in literature adopted deep learning due to their high …

Palmprint recognition in uncontrolled and uncooperative environment

WM Matkowski, T Chai… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Online palmprint recognition and latent palmprint identification are two branches of
palmprint studies. The former uses middle-resolution images collected by a digital camera in …

Active Contour Based Segmentation and CNN for Palmprint Recognition

WM Cherif, TB Stambouli - 2022 2nd International Conference …, 2022 - ieeexplore.ieee.org
Biometric authentication has proven to be a successful strategy for correctly recognizing a
person's identification. in particular, palmprint-based biometric systems have received …

Palmprint recognition with deep convolutional features

Q Sun, J Zhang, A Yang, Q Zhang - … , IGTA 2017, Beijing, China, June 30 …, 2018 - Springer
Palmprint recognition has become popular and significant in many fields because of its high
efficiency and accuracy in personal identification. In this paper, we present a scheme for …

Performance Comparison of PCANet-Based Deep Learning Techniques for Palmprint Recognition

N Mukahar - 2023 IEEE International Conference on Applied …, 2023 - ieeexplore.ieee.org
Palmprint recognition is one the hand-based biometric technology that utilizes the unique
patterns of palmprint image for recognition or identification tasks. The recognition accuracy …

Pay by showing your palm: A study of palmprint verification on mobile platforms

Y Zhang, L Zhang, X Liu, S Zhao… - … on Multimedia and …, 2019 - ieeexplore.ieee.org
With the fast development of smart mobile devices, mobile phones have gradually become
an indispensable part of people's lives. Many biometric technologies based on mobile …

A Self-Attention CycleGAN for Cross-Domain Semi-Supervised Contactless Palmprint Recognition

G Xin, M Zhu, Y Zhou, G Jiang, Z Cai… - International Journal of …, 2024 - World Scientific
Nowadays, there is a growing concern about contactless palmprint recognition because of
its high-recognition rate, efficiency, and convenience. With the development of image …

[HTML][HTML] An effective recognition approach for contactless palmprint

N Xu, Q Zhu, X Xu, D Zhang - The Visual Computer, 2021 - Springer
The biometrics character has been widely used for individual identification and verification.
Palmprint as one of biological features contains abundant discriminative features, which has …