Compnet: Competitive neural network for palmprint recognition using learnable gabor kernels

X Liang, J Yang, G Lu, D Zhang - IEEE Signal Processing …, 2021 - ieeexplore.ieee.org
Contactless palmprint recognition has recently made significant progress in palm-scanning
payment and social security. However, most existing methods are based on handcrafted …

PalmNet: Gabor-PCA convolutional networks for touchless palmprint recognition

A Genovese, V Piuri, KN Plataniotis… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Touchless palmprint recognition systems enable high-accuracy recognition of individuals
through less-constrained and highly usable procedures that do not require the contact of the …

Contactless palmprint identification using deeply learned residual features

Y Liu, A Kumar - … on Biometrics, Behavior, and Identity Science, 2020 - ieeexplore.ieee.org
Contactless and online palmprint identification offers improved user convenience, hygiene,
user-security and is highly desirable in a range of applications. This paper proposes an …

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 …

Touchless palmprint recognition based on 3D Gabor template and block feature refinement

X Liang, Z Li, D Fan, J Li, W Jia, D Zhang - Knowledge-Based Systems, 2022 - Elsevier
With the growing demand for hand hygiene, touchless palmprint recognition has made great
strides recently, providing an effective solution for personal identification. Despite many …

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 …

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 …

Mobilenet convolutional neural networks and support vector machines for palmprint recognition

A Michele, V Colin, DD Santika - Procedia Computer Science, 2019 - Elsevier
Due to the ease of handling with low resolution images, low cost hardware and high
recognition accuracy, palmprint recognition has been attracting in the recent years. Many …

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 …

Comprehensive competition mechanism in palmprint recognition

Z Yang, H Huangfu, L Leng, B Zhang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Palmprint has gained popularity as a biometric modality and has recently attracted
significant research interest. The competition-based method is the prevailing approach for …