Locality preserving partial least squares discriminant analysis for face recognition

We propose a locality preserving partial least squares discriminant analysis (LPPLSDA) which adds a locality preserving feature to the conventional partial least squares discriminant analysis(PLS-DA). The locality preserving feature captures the within group structural information via a similarity g...

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Main Authors: Muhammad Aminu, Noor Atinah Ahmad
Format: Article
Language:English
Published: Springer 2022-02-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157819309759
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author Muhammad Aminu
Noor Atinah Ahmad
author_facet Muhammad Aminu
Noor Atinah Ahmad
author_sort Muhammad Aminu
collection DOAJ
description We propose a locality preserving partial least squares discriminant analysis (LPPLSDA) which adds a locality preserving feature to the conventional partial least squares discriminant analysis(PLS-DA). The locality preserving feature captures the within group structural information via a similarity graph. The ability of LPPLS-DA to capture local structures allows it to be better suited for face recognition. We evaluate the performance of our proposed method on several benchmarked face databases which offer different levels of complexity in terms of sample size as well as image acquisition conditions. The experimental results indicate that, for each database used, the proposed method consistently outperformed the conventional PLS-DA method.
format Article
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institution Kabale University
issn 1319-1578
language English
publishDate 2022-02-01
publisher Springer
record_format Article
series Journal of King Saud University: Computer and Information Sciences
spelling doaj-art-6656b046edf34bc3b7ab3780d8d16dd52025-08-20T03:51:59ZengSpringerJournal of King Saud University: Computer and Information Sciences1319-15782022-02-0134215316410.1016/j.jksuci.2019.10.007Locality preserving partial least squares discriminant analysis for face recognitionMuhammad Aminu0Noor Atinah Ahmad1School of Mathematical Sciences, Universiti Sains Malaysia, 11800 Minden, Pulau Pinang, MalaysiaCorresponding author.; School of Mathematical Sciences, Universiti Sains Malaysia, 11800 Minden, Pulau Pinang, MalaysiaWe propose a locality preserving partial least squares discriminant analysis (LPPLSDA) which adds a locality preserving feature to the conventional partial least squares discriminant analysis(PLS-DA). The locality preserving feature captures the within group structural information via a similarity graph. The ability of LPPLS-DA to capture local structures allows it to be better suited for face recognition. We evaluate the performance of our proposed method on several benchmarked face databases which offer different levels of complexity in terms of sample size as well as image acquisition conditions. The experimental results indicate that, for each database used, the proposed method consistently outperformed the conventional PLS-DA method.http://www.sciencedirect.com/science/article/pii/S1319157819309759Partial least squares discriminant analysisLinear discriminant analysisLocality preserving projectionManifold structureMachine learning
spellingShingle Muhammad Aminu
Noor Atinah Ahmad
Locality preserving partial least squares discriminant analysis for face recognition
Journal of King Saud University: Computer and Information Sciences
Partial least squares discriminant analysis
Linear discriminant analysis
Locality preserving projection
Manifold structure
Machine learning
title Locality preserving partial least squares discriminant analysis for face recognition
title_full Locality preserving partial least squares discriminant analysis for face recognition
title_fullStr Locality preserving partial least squares discriminant analysis for face recognition
title_full_unstemmed Locality preserving partial least squares discriminant analysis for face recognition
title_short Locality preserving partial least squares discriminant analysis for face recognition
title_sort locality preserving partial least squares discriminant analysis for face recognition
topic Partial least squares discriminant analysis
Linear discriminant analysis
Locality preserving projection
Manifold structure
Machine learning
url http://www.sciencedirect.com/science/article/pii/S1319157819309759
work_keys_str_mv AT muhammadaminu localitypreservingpartialleastsquaresdiscriminantanalysisforfacerecognition
AT nooratinahahmad localitypreservingpartialleastsquaresdiscriminantanalysisforfacerecognition