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 …

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 …

Palmprint recognition using siamese network

D Zhong, Y Yang, X Du - … : 13th Chinese Conference, CCBR 2018, Urumqi …, 2018 - Springer
Recently, palmprint representation using different descriptors under the incorporation of
deep neural networks, always achieves significant recognition performance. In this paper …

Multi-spectral palmprint recognition with deep multi-view representation learning

X Xu, N Xu, H Li, Q Zhu - … , MLICOM 2019, Nanjing, China, August 24–25 …, 2019 - Springer
With the widespread application of biometrics in identification systems, palmprint recognition
technology, as an emerging biometric technology, has received more and more attention in …

Channel group-wise drop network with global and fine-grained-aware representation learning for palm recognition

W Rong, Z Yang, L Leng - 2022 IEEE International Joint …, 2022 - ieeexplore.ieee.org
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 …

Cross-dataset image matching network for heterogeneous palmprint recognition

Y Zou, D Zhong, H Shao - Chinese Conference on Biometric Recognition, 2022 - Springer
Palmprint recognition is one of the promising biometric technologies. Many palmprint
recognition methods have excellent performance in recognition within a single dataset …

Learning with partners to improve the multi-source cross-dataset palmprint recognition

H Shao, D Zhong - IEEE Transactions on Information Forensics …, 2021 - ieeexplore.ieee.org
Benefiting from the advantages of safety and reliability, deep learning-based palmprint
recognition has attracted widespread attention. However, previous methods are mainly …

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 …

SYEnet: Simple yet effective network for palmprint recognition

S Ma, Q Hu, S Zhao, S Chen, L Jiang - Information Sciences, 2024 - Elsevier
Palmprint recognition techniques have been widely applied in security authentication. As a
typical image processing method, convolutional neural network (CNN) has been applied to …

Centralized large margin cosine loss for open-set deep palmprint recognition

D Zhong, J Zhu - IEEE Transactions on Circuits and Systems …, 2019 - ieeexplore.ieee.org
As one promising branch of biometrics, palmprint recognition has received significant
attention and made extraordinary progress in the past decades. The crucial step of palmprint …