Low-rank representation integrated with principal line distance for contactless palmprint recognition

L Fei, Y Xu, B Zhang, X Fang, J Wen - Neurocomputing, 2016 - Elsevier
Contactless palmprint recognition has recently begun to draw attention of researchers.
Different from conventional palmprint images, contactless palmprint images are captured …

Palmprint recognition across different devices

W Jia, RX Hu, J Gui, Y Zhao, XM Ren - Sensors, 2012 - mdpi.com
In this paper, the problem of Palmprint Recognition Across Different Devices (PRADD) is
investigated, which has not been well studied so far. Since there is no publicly available …

A novel hierarchical approach for multispectral palmprint recognition

D Hong, W Liu, J Su, Z Pan, G Wang - Neurocomputing, 2015 - Elsevier
Palmprint is one important biometric feature with uniqueness, stability and high
distinguishability, and its study has attracted much attention in the past decades. Although …

Palmprint recognition with deep convolutional features

Q Sun, J Zhang, A Yang, Q Zhang - … , IGTA 2017, Beijing, China, June 30 …, 2018 - Springer
Palmprint recognition has become popular and significant in many fields because of its high
efficiency and accuracy in personal identification. In this paper, we present a scheme for …

[PDF][PDF] Palmprint Recognition Based on Local Fisher Discriminant Analysis.

J Guo, H Chen, Y Li - J. Softw., 2014 - jsoftware.us
A new palmprint recognition method based on local Fisher discriminant analysis (LFDA) is
proposed. In order to solve the singularity of the eigenvalue equation matrix in small-size …

CO3Net: Coordinate-Aware Contrastive Competitive Neural Network for Palmprint Recognition

Z Yang, W Xia, Y Qiao, Z Lu, B Zhang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Palmprint recognition achieves high discrimination for identity verification. Compared with
handcrafted local texture descriptors, convolutional neural networks (CNNs) can …

A comparative study of palmprint recognition algorithms

D Zhang, W Zuo, F Yue - ACM computing surveys (CSUR), 2012 - dl.acm.org
Palmprint images contain rich unique features for reliable human identification, which makes
it a very competitive topic in biometric research. A great many different low resolution …

Learning with partners to improve the multi-source cross-dataset palmprint recognition

H Shao, D Zhong - IEEE Transactions on Information Forensics …, 2021 - ieeexplore.ieee.org
Benefiting from the advantages of safety and reliability, deep learning-based palmprint
recognition has attracted widespread attention. However, previous methods are mainly …

[HTML][HTML] Palm print identification using improved histogram of oriented lines

M Arunkumar, S Valarmathy - Circuits and Systems, 2016 - scirp.org
Automatic palmprint identification has received much attention in security applications and
law enforcement. The performance of a palmprint identification system is improved by …

Robust features fusion utilization for supervised palmprint recognition

MM Ata, KM Elgamily… - … and Computation: Practice …, 2022 - Wiley Online Library
This article proposes robust features fusion methodology for supervised palmprint
recognition. The process of features fusion has been formulated according to the …