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 …
Palmprint recognition has been widely applied to security authentication due to its rich characteristics, ie, local direction, wrinkle, and texture. However, different types of palmprint …
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 …
Palmprint is one of the discriminant biometric modalities of humans. Recently, deep learning- based palmprint recognition algorithms have improved the accuracy and robustness of …
W Jia, J Gao, W Xia, Y Zhao, H Min, JT Lu - International Journal of …, 2021 - Springer
Palmprint recognition and palm vein recognition are two emerging biometrics technologies. In the past two decades, many traditional methods have been proposed for palmprint …
Linear discriminant analysis (LDA) as a classical supervised dimensionality reduction method has shown powerful capability in various image classification tasks. The purpose of …
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 …
Recently, finger-based multimodal biometrics, due to its high security and stability, has received considerable attention compared with unimodal biometrics. However, existing …
S Li, B Zhang - IEEE Transactions on Information Forensics …, 2021 - ieeexplore.ieee.org
Multimodal biometrics recognition has recently attracted much interest for its higher security and effectiveness compared with unimodal biometrics recognition. However, most of the …