Multi-scale discriminant representation for generic palmprint recognition

L Yu, Q Yi, K Zhou - Neural Computing and Applications, 2023 - Springer
Palmprint shows great potential in biometric-based security due to its advantages of great
stability, easy collection, and high accuracy. However, with insufficient training samples, how …

Multi-orientation and multi-scale features discriminant learning for palmprint recognition

F Ma, X Zhu, C Wang, H Liu, XY Jing - Neurocomputing, 2019 - Elsevier
Palmprint contains stable and effective features, especially the orientation and scale
features of palm lines, and has now become an important identity recognition technique for …

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 …

Learning complete and discriminative direction pattern for robust palmprint recognition

S Zhao, B Zhang - IEEE Transactions on Image Processing, 2020 - ieeexplore.ieee.org
Palmprint direction patterns have been widely and successfully used in palmprint
recognition methods. Most existing direction-based methods utilize the pre-defined filters to …

[HTML][HTML] 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 …

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 …

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 …

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 …

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 …

Compact double attention module embedded CNN for palmprint recognition

Y Zheng, L Fei, W Jia, J Wen, S Teng, I Rida - Advances in Computer …, 2021 - Springer
Palmprint-based biometric recognition has received tremendous attention due to its several
advantages such as high security, non-invasive and good hygiene propensities. Recent …