Towards palmprint verification on smartphones

Y Zhang, L Zhang, R Zhang, S Li, J Li… - arXiv preprint arXiv …, 2020 - arxiv.org
With the rapid development of mobile devices, smartphones have gradually become an
indispensable part of people's lives. Meanwhile, biometric authentication has been …

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 …

Towards efficient unconstrained palmprint recognition via deep distillation hashing

H Shao, D Zhong, X Du - arXiv preprint arXiv:2004.03303, 2020 - arxiv.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 …

RPG-Palm: Realistic Pseudo-data Generation for Palmprint Recognition

L Shen, J Jin, 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 …

Physics-Driven Spectrum-Consistent Federated Learning for Palmprint Verification

Z Yang, ABJ Teoh, B Zhang, L Leng… - International Journal of …, 2024 - Springer
Palmprint as biometrics has gained increasing attention recently due to its discriminative
ability and robustness. However, existing methods mainly improve palmprint verification …

Deep region of interest and feature extraction models for palmprint verification using convolutional neural networks transfer learning

M Izadpanahkakhk, SM Razavi… - Applied Sciences, 2018 - mdpi.com
Palmprint verification is one of the most significant and popular approaches for personal
authentication due to its high accuracy and efficiency. Using deep region of interest (ROI) …

Pilot comparative study of different deep features for palmprint identification in low-quality images

AS Tarawneh, D Chetverikov, AB Hassanat - arXiv preprint arXiv …, 2018 - arxiv.org
Deep Convolutional Neural Networks (CNNs) are widespread, efficient tools of visual
recognition. In this paper, we present a comparative study of three popular pre-trained CNN …

Bézierpalm: A free lunch for palmprint recognition

K Zhao, L Shen, Y Zhang, C Zhou, T Wang… - … on Computer Vision, 2022 - Springer
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 …

Efficient deep palmprint recognition via distilled hashing coding

H Shao, D Zhong, X Du - … of the IEEE/CVF conference on …, 2019 - openaccess.thecvf.com
Efficient deep palmprint recognition has become an urgent issue for the demand of personal
identification on mobile/wearable devices. Compared to other biometrics, palmprint …

Boosting unconstrained palmprint recognition with adversarial metric learning

J Zhu, D Zhong, K Luo - IEEE Transactions on Biometrics …, 2020 - ieeexplore.ieee.org
With great potential and prospects in the market, palmprint recognition has also aroused
wide concern in the academic community. However, there are yet some burning issues …