Hypercomplex extreme learning machine with its application in multispectral palmprint recognition

An extreme learning machine (ELM) is a novel training method for single-hidden layer feedforward neural networks (SLFNs) in which the hidden nodes are randomly assigned and fixed without iterative tuning. ELMs have earned widespread global interest due to their fast learning speed, satisfactory gene...

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Published inPloS one Vol. 14; no. 4; p. e0209083
Main Authors Lu, Longbin, Zhang, Xinman, Xu, Xuebin
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 15.04.2019
Public Library of Science (PLoS)
Subjects
Adult
Algorithms
Artificial intelligence
Artificial neural networks
Biology and Life Sciences
Biometric identification
Biometrics
Biometry
Classification
Computer and Information Sciences
Dermatoglyphics
Downloading
Engineering and Technology
Feedforward
Female
Fourier transforms
Humans
Learning
Learning algorithms
Machine Learning
Male
Methods
Middle Aged
Musical groups
Neural networks
Neural Networks, Computer
Novels
Object recognition
Pattern recognition (Computers)
Pattern Recognition, Automated - methods
Physical Sciences
Principal components analysis
Remote sensing
Research and Analysis Methods
Sensors
Source code
Spectral bands
Teaching methods
Theory
Young Adult
China
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Abstract An extreme learning machine (ELM) is a novel training method for single-hidden layer feedforward neural networks (SLFNs) in which the hidden nodes are randomly assigned and fixed without iterative tuning. ELMs have earned widespread global interest due to their fast learning speed, satisfactory generalization ability and ease of implementation. In this paper, we extend this theory to hypercomplex space and attempt to simultaneously consider multisource information using a hypercomplex representation. To illustrate the performance of the proposed hypercomplex extreme learning machine (HELM), we have applied this scheme to the task of multispectral palmprint recognition. Images from different spectral bands are utilized to construct the hypercomplex space. Extensive experiments conducted on the PolyU and CASIA multispectral databases demonstrate that the HELM scheme can achieve competitive results. The source code together with datasets involved in this paper can be available for free download at https://figshare.com/s/01aef7d48840afab9d6d.
AbstractList An extreme learning machine (ELM) is a novel training method for single-hidden layer feedforward neural networks (SLFNs) in which the hidden nodes are randomly assigned and fixed without iterative tuning. ELMs have earned widespread global interest due to their fast learning speed, satisfactory generalization ability and ease of implementation. In this paper, we extend this theory to hypercomplex space and attempt to simultaneously consider multisource information using a hypercomplex representation. To illustrate the performance of the proposed hypercomplex extreme learning machine (HELM), we have applied this scheme to the task of multispectral palmprint recognition. Images from different spectral bands are utilized to construct the hypercomplex space. Extensive experiments conducted on the PolyU and CASIA multispectral databases demonstrate that the HELM scheme can achieve competitive results. The source code together with datasets involved in this paper can be available for free download at https://figshare.com/s/01aef7d48840afab9d6d.
An extreme learning machine (ELM) is a novel training method for single-hidden layer feedforward neural networks (SLFNs) in which the hidden nodes are randomly assigned and fixed without iterative tuning. ELMs have earned widespread global interest due to their fast learning speed, satisfactory generalization ability and ease of implementation. In this paper, we extend this theory to hypercomplex space and attempt to simultaneously consider multisource information using a hypercomplex representation. To illustrate the performance of the proposed hypercomplex extreme learning machine (HELM), we have applied this scheme to the task of multispectral palmprint recognition. Images from different spectral bands are utilized to construct the hypercomplex space. Extensive experiments conducted on the PolyU and CASIA multispectral databases demonstrate that the HELM scheme can achieve competitive results. The source code together with datasets involved in this paper can be available for free download at
An extreme learning machine (ELM) is a novel training method for single-hidden layer feedforward neural networks (SLFNs) in which the hidden nodes are randomly assigned and fixed without iterative tuning. ELMs have earned widespread global interest due to their fast learning speed, satisfactory generalization ability and ease of implementation. In this paper, we extend this theory to hypercomplex space and attempt to simultaneously consider multisource information using a hypercomplex representation. To illustrate the performance of the proposed hypercomplex extreme learning machine (HELM), we have applied this scheme to the task of multispectral palmprint recognition. Images from different spectral bands are utilized to construct the hypercomplex space. Extensive experiments conducted on the PolyU and CASIA multispectral databases demonstrate that the HELM scheme can achieve competitive results. The source code together with datasets involved in this paper can be available for free download at https://figshare.com/s/01aef7d48840afab9d6d .
An extreme learning machine (ELM) is a novel training method for single-hidden layer feedforward neural networks (SLFNs) in which the hidden nodes are randomly assigned and fixed without iterative tuning. ELMs have earned widespread global interest due to their fast learning speed, satisfactory generalization ability and ease of implementation. In this paper, we extend this theory to hypercomplex space and attempt to simultaneously consider multisource information using a hypercomplex representation. To illustrate the performance of the proposed hypercomplex extreme learning machine (HELM), we have applied this scheme to the task of multispectral palmprint recognition. Images from different spectral bands are utilized to construct the hypercomplex space. Extensive experiments conducted on the PolyU and CASIA multispectral databases demonstrate that the HELM scheme can achieve competitive results. The source code together with datasets involved in this paper can be available for free download at https://figshare.com/s/01aef7d48840afab9d6d.An extreme learning machine (ELM) is a novel training method for single-hidden layer feedforward neural networks (SLFNs) in which the hidden nodes are randomly assigned and fixed without iterative tuning. ELMs have earned widespread global interest due to their fast learning speed, satisfactory generalization ability and ease of implementation. In this paper, we extend this theory to hypercomplex space and attempt to simultaneously consider multisource information using a hypercomplex representation. To illustrate the performance of the proposed hypercomplex extreme learning machine (HELM), we have applied this scheme to the task of multispectral palmprint recognition. Images from different spectral bands are utilized to construct the hypercomplex space. Extensive experiments conducted on the PolyU and CASIA multispectral databases demonstrate that the HELM scheme can achieve competitive results. The source code together with datasets involved in this paper can be available for free download at https://figshare.com/s/01aef7d48840afab9d6d.
Audience Academic
Author Zhang, Xinman
Lu, Longbin
Xu, Xuebin
AuthorAffiliation 2 Guangdong Xi'an Jiaotong University Academy, Foshan, Guangdong, China
The University of Memphis, UNITED STATES
1 MOE Key Lab for Intelligent Networks and Network Security, School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, China
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Cites_doi 10.3390/s120404633
10.1109/5.58323
10.1371/journal.pone.0178432
10.1016/j.eswa.2010.08.052
10.1109/TCYB.2014.2363492
10.1016/j.eswa.2013.06.070
10.1109/TNNLS.2012.2202289
10.1109/TIP.2009.2035882
10.1002/wics.101
10.1007/s00521-012-0851-3
10.1016/j.eswa.2016.07.009
10.1109/TGRS.2014.2381602
10.1109/TIP.2006.884955
10.1016/j.neucom.2015.10.070
10.1016/j.neucom.2005.12.126
10.3390/s18051575
10.1109/TNNLS.2012.2218616
10.1109/TNN.2006.880583
10.1109/TIM.2009.2028772
10.1016/j.neucom.2010.02.019
10.1109/TSMCB.2011.2168604
10.1007/s00521-014-1570-8
10.1016/0893-6080(92)90008-7
10.1016/j.neucom.2012.12.063
10.1109/TCYB.2015.2511149
10.1109/TNN.2003.809401
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References Y Chen (ref20) 2016; 64
D Zhang (ref30) 2011; 38
D Han (ref32) 2008
W Li (ref21) 2015; 53
Y Yang (ref9) 2012; 23
Q He (ref10) 2014; 128
ref33
GB Huang (ref3) 2003; 14
J Tang (ref18) 2015
A. Meraoumia (ref2) 2017
A Gumaei (ref26) 2018
WY Deng (ref13) 2009
NY Liang (ref14) 2006; 17
R Hecht-Nielsen (ref6) 1992
LB Lu (ref24) 2017; 12
GB Huang (ref12) 2012; 42
D Lam (ref11) 2017; 47
TA Ell (ref23) 2007; 16
XB Xu (ref25) 2016; 27
B Zhang (ref35) 2010; 19
D Zhang (ref29) 2010; 59
B Widrow (ref5) 2002; 78
GB Huang (ref4) 2006; 70
H Zhou (ref16) 2015; 45
A Gumaei (ref28) 2018
JF Sun (ref36) 2005; 5985
JL Song (ref19) 2016; 175
A Van Ooyen (ref7) 1992; 5
J Tang (ref17) 2016; 27
S Koike (ref38) 2008
I Fister (ref22) 2013; 40
A Gumaei (ref27) 2018; 18
GB Huang (ref8) 2010; 74
X Xu (ref39) 2012; 12
Y Zhou (ref1) 2017
Q Zhu (ref37) 2013; 23
D Zhang (ref31) 2010; 32
H Abdi (ref34) 2010; 2
Z Man (ref15) 2012; 23
References_xml – start-page: 175
  year: 2015
  ident: ref18
– volume: 12
  start-page: 4633
  issue: 4
  year: 2012
  ident: ref39
  article-title: Multispectral palmprint recognition using a quaternion matrix
  publication-title: Sensors
  doi: 10.3390/s120404633
– volume: 78
  start-page: 1415
  issue: 9
  year: 2002
  ident: ref5
  article-title: 30 years of adaptive neural networks: perceptron, madaline, and backpropagation
  publication-title: Proceedings of the IEEE
  doi: 10.1109/5.58323
– volume: 5985
  start-page: 739
  year: 2005
  ident: ref36
  article-title: A study of PCA image fusion techniques on remote sensing
  publication-title: Proceedings of SPIE
– start-page: 395
  year: 2008
  ident: ref38
– start-page: 389
  year: 2009
  ident: ref13
– year: 2017
  ident: ref2
  article-title: Biometric Security and Privacy.
– volume: 12
  start-page: e0178432
  issue: 5
  year: 2017
  ident: ref24
  article-title: Multispectral image fusion for illumination-invariant paimprint recognition
  publication-title: PLOS ONE
  doi: 10.1371/journal.pone.0178432
– volume: 38
  start-page: 2621
  issue: 3
  year: 2011
  ident: ref30
  article-title: Online joint palmprint and palmvein verification
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2010.08.052
– year: 2018
  ident: ref26
  article-title: An improved multispectral palmprint recognition system using autoencoder with regularized extreme learning machine
  publication-title: Computational Intelligence and Neuroscience
– volume: 45
  start-page: 2013
  issue: 9
  year: 2015
  ident: ref16
  article-title: Stacked extreme learning machines
  publication-title: IEEE Transactions on Cybernetics
  doi: 10.1109/TCYB.2014.2363492
– start-page: 1
  issue: 3
  year: 2017
  ident: ref1
  article-title: Predicting movie box-office revenues using deep neural networks
  publication-title: Neural Computing & Applications
– year: 1992
  ident: ref6
  article-title: Neural networks for perception
– year: 2018
  ident: ref28
  article-title: Anti-spoofing cloud-based multi-spectral biometric identification system for enterprise security and privacy-preservation
  publication-title: Journal of Parallel and Distributed Computing
– volume: 40
  start-page: 7220
  issue: 18
  year: 2013
  ident: ref22
  article-title: Modified firefly algorithm using quaternion representation
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2013.06.070
– volume: 23
  start-page: 1498
  issue: 9
  year: 2012
  ident: ref9
  article-title: Bidirectional extreme learning machine for regression problem and its learning effectiveness
  publication-title: IEEE Transactions on Neural Networks and Learning Systems
  doi: 10.1109/TNNLS.2012.2202289
– volume: 19
  start-page: 533
  issue: 2
  year: 2010
  ident: ref35
  article-title: Local derivative pattern versus local binary pattern: face recognition with high-order local pattern descriptor
  publication-title: IEEE transactions on image processing
  doi: 10.1109/TIP.2009.2035882
– volume: 2
  start-page: 433
  issue: 4
  year: 2010
  ident: ref34
  article-title: Principal component analysis
  publication-title: Wiley interdisciplinary reviews: computational statistics
  doi: 10.1002/wics.101
– volume: 23
  start-page: 169
  issue: 1
  year: 2013
  ident: ref37
  article-title: Multi-directional two-dimensional pca with matching score level fusion for face recognition
  publication-title: Neural Computing & Applications
  doi: 10.1007/s00521-012-0851-3
– start-page: 2074
  year: 2008
  ident: ref32
– volume: 64
  year: 2016
  ident: ref20
  article-title: Multimodal biometrics recognition based on local fusion visual features and variational bayesian extreme learning machine
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2016.07.009
– volume: 53
  start-page: 3681
  issue: 7
  year: 2015
  ident: ref21
  article-title: Local binary patterns and extreme learning machine for hyperspectral imagery classification
  publication-title: IEEE Transactions on Geoscience and Remote Sensing
  doi: 10.1109/TGRS.2014.2381602
– volume: 16
  start-page: 22
  issue: 1
  year: 2007
  ident: ref23
  article-title: Hypercomplex Fourier transforms of color images
  publication-title: IEEE Transactions on image processing
  doi: 10.1109/TIP.2006.884955
– volume: 175
  start-page: 383
  year: 2016
  ident: ref19
  article-title: Automated detection of epileptic EEGs using a novel fusion feature and extreme learning machine
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2015.10.070
– volume: 70
  start-page: 489
  issue: 1
  year: 2006
  ident: ref4
  article-title: Extreme learning machine: Theory and applications
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2005.12.126
– volume: 18
  start-page: 1575
  issue: 5
  year: 2018
  ident: ref27
  article-title: An effective palmprint recognition approach for visible and multispectral sensor images
  publication-title: Sensors
  doi: 10.3390/s18051575
– volume: 23
  start-page: 1974
  issue: 12
  year: 2012
  ident: ref15
  article-title: Robust single-hidden layer feedforward network-based pattern classifier
  publication-title: IEEE Transactions on Neural Networks & Learning Systems
  doi: 10.1109/TNNLS.2012.2218616
– volume: 27
  start-page: 809
  issue: 4
  year: 2016
  ident: ref17
  article-title: Extreme learning machine for multilayer perceptron. IEEE Transactions on Neural Networks &
  publication-title: Learning Systems
– volume: 17
  start-page: 1411
  issue: 6
  year: 2006
  ident: ref14
  article-title: A fast and accurate online sequential learning algorithm for feedforward networks
  publication-title: IEEE Transactions on Neural Networks
  doi: 10.1109/TNN.2006.880583
– volume: 59
  start-page: 480
  issue: 2
  year: 2010
  ident: ref29
  article-title: An online system of multispectral palmprint verification
  publication-title: IEEE Transactions on Instrumentation and Measurement
  doi: 10.1109/TIM.2009.2028772
– volume: 74
  start-page: 155
  issue: 1–3
  year: 2010
  ident: ref8
  article-title: Optimization method based extreme learning machine for classification.
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2010.02.019
– volume: 42
  start-page: 513
  issue: 2
  year: 2012
  ident: ref12
  article-title: Extreme learning machine for regression and multiclass classification
  publication-title: IEEE Transactions on Systems Man & Cybernetics Part B Cybernetics
  doi: 10.1109/TSMCB.2011.2168604
– volume: 27
  start-page: 143
  issue: 1
  year: 2016
  ident: ref25
  article-title: Multispectral palmprint recognition using multiclass projection extreme learning machine and digital shearlet transform
  publication-title: Neural Computing and Applications
  doi: 10.1007/s00521-014-1570-8
– volume: 32
  start-page: 120
  issue: 2
  year: 2010
  ident: ref31
  article-title: Empirical study of light source selection for palmprint recognition
  publication-title: Pattern Recognition Letters
– volume: 5
  start-page: 465
  issue: 3
  year: 1992
  ident: ref7
  article-title: Improving the convergence of the back-propagation algorithm
  publication-title: Neural Networks
  doi: 10.1016/0893-6080(92)90008-7
– volume: 128
  start-page: 88
  issue: 5
  year: 2014
  ident: ref10
  article-title: Clustering in extreme learning machine feature space
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2012.12.063
– volume: 47
  start-page: 224
  issue: 1
  year: 2017
  ident: ref11
  article-title: Unsupervised feature learning classification with radial basis function extreme learning machine using graphic processors
  publication-title: IEEE Transactions on Cybernetics
  doi: 10.1109/TCYB.2015.2511149
– ident: ref33
– volume: 14
  start-page: 274
  issue: 2
  year: 2003
  ident: ref3
  article-title: Learning capability and storage capacity of two-hidden-layer feedforward networks
  publication-title: IEEE Transactions on Neural Networks
  doi: 10.1109/TNN.2003.809401
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Snippet An extreme learning machine (ELM) is a novel training method for single-hidden layer feedforward neural networks (SLFNs) in which the hidden nodes are randomly...
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Title Hypercomplex extreme learning machine with its application in multispectral palmprint recognition
URI https://www.ncbi.nlm.nih.gov/pubmed/30986209
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https://www.proquest.com/docview/2210212244
https://pubmed.ncbi.nlm.nih.gov/PMC6464184
https://doaj.org/article/c2963dcca320445992980465d6b70db2
http://dx.doi.org/10.1371/journal.pone.0209083
Volume 14
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