Joint constrained least-square regression with deep convolutional feature for palmprint recognition

S Zhao, B Zhang - IEEE Transactions on Systems, Man, and …, 2020 - ieeexplore.ieee.org
Various palmprint recognition methods have been proposed and applied in security,
particularly authentication. However, improving the performance of palmprint recognition …

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 …

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 …

EEPNet: An efficient and effective convolutional neural network for palmprint recognition

W Jia, Q Ren, Y Zhao, S Li, H Min, Y Chen - Pattern Recognition Letters, 2022 - Elsevier
Palmprint recognition is an important biometrics technology. In recent years, a lot of
palmprint recognition methods based on convolution neural networks (CNNs) have been …

Learning salient and discriminative descriptor for palmprint feature extraction and identification

S Zhao, B Zhang - IEEE transactions on neural networks and …, 2020 - ieeexplore.ieee.org
Palmprint recognition has been widely applied in security and, particularly, authentication. In
the past decade, various palmprint recognition methods have been proposed and achieved …

Double-cohesion learning based multiview and discriminant palmprint recognition

S Zhao, J Wu, L Fei, B Zhang, P Zhao - Information Fusion, 2022 - Elsevier
Palmprint recognition has been widely used in security authentication. However, most of the
existing palmprint representation methods are focused on a special application scenario …

Deep discriminative representation for generic palmprint recognition

S Zhao, B Zhang - Pattern Recognition, 2020 - Elsevier
State-of-the-art palmprint recognition methods have achieved significant performances.
However, most of the existing methods are focused on particular scenarios such as a …

Triple-type feature extraction for palmprint recognition

L Wu, Y Xu, Z Cui, Y Zuo, S Zhao, L Fei - Sensors, 2021 - mdpi.com
Palmprint recognition has received tremendous research interests due to its outstanding
user-friendliness such as non-invasive and good hygiene properties. Most recent 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 …

Palmprint recognition based on deep learning

ZDP Xin, P Xin, L Xiaoling, G Xiaojing - 2015 - IET
Deep learning method has been considered as a breakthrough in computer vision,
successfully aplied in many domains, including biometrics. Palmprint recognition has been …