Face recognition using wavelet transform and non-negative matrix factorization

This paper demonstrates a novel subspace projection technique via Non-Negative Matrix Factorization (NMF) to represent human facial image in low frequency subband, which is able to realize through the wavelet transform. Wavelet transform (WT), is used to reduce the noise and produce a representation...

Full description

Bibliographic Details
Main Authors: Foon, , NH, Ling, , DNC, Jin, , ATB
Format: Article
Published: 2004
Subjects:
Online Access:http://shdl.mmu.edu.my/2517/
_version_ 1848790077023453184
author Foon, , NH
Ling, , DNC
Jin, , ATB
author_facet Foon, , NH
Ling, , DNC
Jin, , ATB
author_sort Foon, , NH
building MMU Institutional Repository
collection Online Access
description This paper demonstrates a novel subspace projection technique via Non-Negative Matrix Factorization (NMF) to represent human facial image in low frequency subband, which is able to realize through the wavelet transform. Wavelet transform (WT), is used to reduce the noise and produce a representation in the low frequency domain, and hence making the facial images insensitive to facial expression and small occlusion. After wavelet decomposition, NMF is performed to produce region or part-based representations of the images. Non-negativity is a useful constraint to generate expressiveness in the reconstruction of faces. The simulation results on Essex and ORL database show that the hybrid of NMF and the best wavelet filter will yield better verification rate and shorter training time. The optimum results of 98.5% and 95.5% are obtained from Essex and ORL Database, respectively. These results are compared with our baseline method, Principal Component Analysis (PCA).
first_indexed 2025-11-14T18:06:52Z
format Article
id mmu-2517
institution Multimedia University
institution_category Local University
last_indexed 2025-11-14T18:06:52Z
publishDate 2004
recordtype eprints
repository_type Digital Repository
spelling mmu-25172011-08-22T06:49:38Z http://shdl.mmu.edu.my/2517/ Face recognition using wavelet transform and non-negative matrix factorization Foon, , NH Ling, , DNC Jin, , ATB QA75.5-76.95 Electronic computers. Computer science This paper demonstrates a novel subspace projection technique via Non-Negative Matrix Factorization (NMF) to represent human facial image in low frequency subband, which is able to realize through the wavelet transform. Wavelet transform (WT), is used to reduce the noise and produce a representation in the low frequency domain, and hence making the facial images insensitive to facial expression and small occlusion. After wavelet decomposition, NMF is performed to produce region or part-based representations of the images. Non-negativity is a useful constraint to generate expressiveness in the reconstruction of faces. The simulation results on Essex and ORL database show that the hybrid of NMF and the best wavelet filter will yield better verification rate and shorter training time. The optimum results of 98.5% and 95.5% are obtained from Essex and ORL Database, respectively. These results are compared with our baseline method, Principal Component Analysis (PCA). 2004 Article NonPeerReviewed Foon, , NH and Ling, , DNC and Jin, , ATB (2004) Face recognition using wavelet transform and non-negative matrix factorization. AI 2004: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 3339 . pp. 192-202. ISSN 0302-9743
spellingShingle QA75.5-76.95 Electronic computers. Computer science
Foon, , NH
Ling, , DNC
Jin, , ATB
Face recognition using wavelet transform and non-negative matrix factorization
title Face recognition using wavelet transform and non-negative matrix factorization
title_full Face recognition using wavelet transform and non-negative matrix factorization
title_fullStr Face recognition using wavelet transform and non-negative matrix factorization
title_full_unstemmed Face recognition using wavelet transform and non-negative matrix factorization
title_short Face recognition using wavelet transform and non-negative matrix factorization
title_sort face recognition using wavelet transform and non-negative matrix factorization
topic QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/2517/