A Fourier-LDA approach for image recognition
Jing X.-Y.3; Tang Y.-Y.2; Zhang D.1
Source PublicationPattern Recognition
AbstractFourier transform and linear discrimination analysis (LDA) are two commonly used techniques of image processing and recognition. Based on them, we propose a Fourier-LDA approach (FLA) for image recognition. It selects appropriate Fourier frequency bands with favorable linear separability by using a two-dimensional separability judgment. Then it extracts two-dimensional linear discriminative features to perform the classification. Our experimental results on different image data prove that FLA obtains better classification performance than other linear discrimination methods. © 2004 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
KeywordFourier transform Fourier-LDA approach (FLA) Frequency-band selection Linear discrimination analysis (LDA) Two-dimensional separability judgment
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Cited Times [WOS]:35   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.Hong Kong Polytechnic University
2.Hong Kong Baptist University
3.Harbin Institute of Technology
Recommended Citation
GB/T 7714
Jing X.-Y.,Tang Y.-Y.,Zhang D.. A Fourier-LDA approach for image recognition[J]. Pattern Recognition,2005,38(3):453-457.
APA Jing X.-Y.,Tang Y.-Y.,&Zhang D..(2005).A Fourier-LDA approach for image recognition.Pattern Recognition,38(3),453-457.
MLA Jing X.-Y.,et al."A Fourier-LDA approach for image recognition".Pattern Recognition 38.3(2005):453-457.
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