An improved recognition approach for noisy multispectral palmprint by robust L2 sparse representation with a tensor-based extreme learning machine

D Cheng, X Zhang, X Xu - Sensors, 2019 - mdpi.com
For the past decades, recognition technologies of multispectral palmprint have attracted
more and more attention due to their abundant spatial and spectral characteristics compared …

An improved multispectral palmprint recognition system using autoencoder with regularized extreme learning machine

A Gumaei, R Sammouda… - Computational …, 2018 - Wiley Online Library
Multispectral palmprint recognition system (MPRS) is an essential technology for effective
human identification and verification tasks. To improve the accuracy and performance of …

Multispectral palmprint recognition methodology based on multiscale representation

A Bouchemha, N Doghmane… - Journal of …, 2015 - spiedigitallibrary.org
The increasing demand to develop a palmprint biometric system with a low-error rate has
prompted scientists to use multispectral imaging to overcome the limits of the techniques that …

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 …

Multi-spectral palmprint recognition with deep multi-view representation learning

X Xu, N Xu, H Li, Q Zhu - … , MLICOM 2019, Nanjing, China, August 24–25 …, 2019 - Springer
With the widespread application of biometrics in identification systems, palmprint recognition
technology, as an emerging biometric technology, has received more and more attention in …

Multispectral image fusion for illumination-invariant palmprint recognition

L Lu, X Zhang, X Xu, D Shang - PloS one, 2017 - journals.plos.org
Multispectral palmprint recognition has shown broad prospects for personal identification
due to its high accuracy and great stability. In this paper, we develop a novel illumination …

Multispectral palmprint recognition using multiclass projection extreme learning machine and digital shearlet transform

X Xu, L Lu, X Zhang, H Lu, W Deng - Neural Computing and Applications, 2016 - Springer
A novel multispectral palmprint recognition method is proposed based on multiclass
projection extreme learning machine (MPELM) and digital shearlet transform. Extreme …

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 …

Multi-spectral palmprint recognition based on oriented multiscale log-Gabor filters

MD Bounneche, L Boubchir, A Bouridane, B Nekhoul… - Neurocomputing, 2016 - Elsevier
Among several palmprint recognition methods proposed recently, coding-based approaches
using multi-spectral palmprint images are attractive owing to their high recognition rates …

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 …