[PDF][PDF] Identifying humans by matching their left palmprint with right palmprint images using convolutional neural network

A Kumar, K Wang - First Int. Workshop on Deep Learning and …, 2016 - comp.polyu.edu.hk
Palmprint is increasingly adapted as one of the effective modalities for the biometrics
identification. There exists high degree of similarity (eg, spatial arrangement of major flexion …

[HTML][HTML] Palmprint and palmvein recognition based on DCNN and a new large-scale contactless palmvein dataset

L Zhang, Z Cheng, Y Shen, D Wang - Symmetry, 2018 - mdpi.com
Among the members of biometric identifiers, the palmprint and the palmvein have received
significant attention due to their stability, uniqueness, and non-intrusiveness. In this paper …

Palmprint recognition using deep scattering convolutional network

S Minaee, Y Wang - arXiv preprint arXiv:1603.09027, 2016 - arxiv.org
Palmprint recognition has drawn a lot of attention during the recent years. Many algorithms
have been proposed for palmprint recognition in the past, majority of them being based on …

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 …

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 …

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 …

Mobile Contactless Palmprint Recognition: Use of Multiscale, Multimodel Embeddings

SA Grosz, A Godbole, AK Jain - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Contactless palmprints are comprised of both global and local discriminative features. Most
prior work focuses on extracting global features or local features alone for palmprint …

AMGNet: Aligned Multilevel Gabor Convolution Network for Palmprint Recognition

D Fan, X Liang, C Zhang, W Jia… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Palmprint recognition has seen significant advancements and garnered considerable
attention recently. However, deep learning methods have yet to effectively incorporate …

[HTML][HTML] Deep region of interest and feature extraction models for palmprint verification using convolutional neural networks transfer learning

M Izadpanahkakhk, SM Razavi… - Applied Sciences, 2018 - mdpi.com
Palmprint verification is one of the most significant and popular approaches for personal
authentication due to its high accuracy and efficiency. Using deep region of interest (ROI) …

Palmprint recognition based on convolutional neural network-AlexNet

W Gong, X Zhang, B Deng, X Xu - 2019 Federated Conference …, 2019 - ieeexplore.ieee.org
In the classic algorithm, palmprint recognition requires extraction of palmprint features
before classification and recognition, which will affect the recognition rate. To solve this …