[HTML][HTML] Palmprint recognition based on gating mechanism and adaptive feature fusion

K Zhang, G Xu, YK Jin, G Qi, X Yang… - Frontiers in …, 2023 - frontiersin.org
As a type of biometric recognition, palmprint recognition uses unique discriminative features
on the palm of a person to identify his/her identity. It has attracted much attention because of …

Novel mobile palmprint databases for biometric authentication

M Izadpanahkakhk, SM Razavi… - … Journal of Grid …, 2019 - inderscienceonline.com
Mobile palmprint biometric authentication has attracted a lot of attention as an interesting
analytics tool for representing discriminative features. Despite the advances in this …

[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 …

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 …

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 …

[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) …

[PDF][PDF] Hybrid Deep Learning Model Based on Autoencoder and CNN for Palmprint Authentication.

FM Bachay, MH Abdulameer - International Journal of Intelligent …, 2022 - researchgate.net
Palmprint authentication has received a lot of attention as one of the most prevalent
biometric methods. A palmprint is a portion of the palm's surface that has special …

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 …

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 …