Palmprint recognition with an efficient data driven ensemble classifier

I Rida, R Herault, GL Marcialis, G Gasso - Pattern Recognition Letters, 2019 - Elsevier
Palmprint recognition is an important and widely used modality in biometric systems. It has a
high reliability, stability and user acceptability. This paper proposes a new and effective …

An ensemble learning method based on random subspace sampling for palmprint identification

I Rida, S Al Maadeed, X Jiang, F Lunke… - … on acoustics, speech …, 2018 - ieeexplore.ieee.org
Palmprint recognition is an important and widely used biometric modality with high reliability,
stability and user acceptability. In this paper we propose a simple and effective ensemble …

Palmprint recognition based on the representation in the feature space

S Zhang, X Gu - Optik, 2013 - Elsevier
In this paper, we propose a palmprint recognition method based on the representation in the
feature space. The proposed method seeks to represent the test sample as a linear …

An automated palmprint recognition system

T Connie, ATB Jin, MGK Ong, DNC Ling - Image and Vision computing, 2005 - Elsevier
Recently, biometric palmprint has received wide attention from researchers. It is well-known
for several advantages such as stable line features, low-resolution imaging, low-cost …

Palmprint identification using an ensemble of sparse representations

I Rida, S Al-Maadeed, A Mahmood, A Bouridane… - IEEE …, 2018 - ieeexplore.ieee.org
Among various palmprint identification methods proposed in the literature, sparse
representation for classification (SRC) is very attractive offering high accuracy. Although …

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 …

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 …

Palmprint identification using sparse and dense hybrid representation

SA Maadeed, X Jiang, I Rida, A Bouridane - Multimedia Tools and …, 2019 - Springer
Among various palmprint identification methods proposed in the literature, Sparse
Representation for Classification (SRC) is very attractive, offering high accuracy. Although …

Multiscale multidirection binary pattern learning for discriminant palmprint identification

S Ma, Q Hu, S Zhao, W Wu, J Wu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Binary pattern learning has been achieved promising recognition performance in palmprint
identification. However, most of direction representation-based methods are hand-crafted …

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 …