Siamese-hashing network for few-shot palmprint recognition

C Liu, H Shao, D Zhong, J Du - 2019 IEEE Symposium Series …, 2019 - ieeexplore.ieee.org
In recent years, palmprint-based recognition technology has become one of the hotspots in
biometrics research. The accuracy of traditional palmprint recognition algorithms mainly …

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 …

Few-shot palmprint recognition based on similarity metric hashing network

C Liu, D Zhong, H Shao - Neurocomputing, 2021 - Elsevier
Palmprint recognition is one of the effective biometric technologies due to the advantages of
convenience and safety. Recently, many deep learning-based methods are utilized in …

Low-shot palmprint recognition based on meta-siamese network

X Du, D Zhong, P Li - 2019 IEEE International Conference on …, 2019 - ieeexplore.ieee.org
Palmprint is one of the discriminant biometrical features of humans. Recognizing palmprints
in complex environments is a significant multimedia task, which is highly suitable for …

Feature augmentation learning for few-shot palmprint image recognition with unconstrained acquisition

K Jing, X Zhang, Z Yang, B Wen - ICASSP 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Few-shot learning is challenging in unconstrained palmprint recognition, where the
palmprint images are collected by unconstrained acquisitions, ie, different imaging sensors …

Prototype Correction via Contrastive Augmentation for Few-Shot Unconstrained Palmprint Recognition

K Jing, X Zhang, C Zhang, W Lin, H Ma… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Unconstrained Palmprint Recognition (UPR) shows engaging potential owing to its high
hygiene and privacy. The unconstrained acquisition usually produces wide variations …

Few‐shot palmprint recognition via graph neural networks

H Shao, D Zhong - Electronics Letters, 2019 - Wiley Online Library
At present, palmprint recognition based on deep learning has been more and more widely
used in identity recognition due to its many advantages. However, these algorithms often …

Joint feature fusion and optimization via deep discriminative model for mobile palmprint verification

M Izadpanahkakhk, SM Razavi… - Journal of …, 2019 - spiedigitallibrary.org
With recent advances in pattern recognition and computer vision, mobile palmprint
authentication has become an emerging field to provide better facilities and ubiquitous …

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 …

Effective deep ensemble hashing for open-set palmprint recognition

H Shao, D Zhong, X Du - Journal of Electronic Imaging, 2020 - spiedigitallibrary.org
Recently, palmprint recognition has made huge progress and attracted the attention of more
and more researchers. However, current research rarely involves open-set palmprint …