UM
Gabor-based tensor local discriminant embedding and its application on palmprint recognition
Cui L.2; Wei Y.1; Tang Y.Y.2; Li H.1
2010-03-01
Source PublicationInternational Journal of Wavelets, Multiresolution and Information Processing
ISSN02196913
Volume8Issue:2Pages:327-342
AbstractIn this paper, a novel feature extraction method called Gabor-based tensor local discriminant embedding (GTLDE) is proposed. GTLDE first gets the high-order statistic information by using a biologically inspired hierarchical model, and then tensor local discriminant embedding (TLDE) is carried out to extract the discriminant features of the image for recognition task. The method we proposed is not only robust to local translation and scale variations, but also has high distinguishing ability. More importantly, our method can achieve high accuracy with a small number of training samples. Experimental results on PolyU-II palmprint database demonstrate the effectiveness of the method we proposed. © 2010 World Scientific Publishing Company.
KeywordDimensionality reduction Gabor filter Tensor
DOI10.1142/S0219691310003468
URLView the original
Language英語
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Cited Times [WOS]:12   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.Huazhong University of Science and Technology
2.Hong Kong Baptist University
Recommended Citation
GB/T 7714
Cui L.,Wei Y.,Tang Y.Y.,et al. Gabor-based tensor local discriminant embedding and its application on palmprint recognition[J]. International Journal of Wavelets, Multiresolution and Information Processing,2010,8(2):327-342.
APA Cui L.,Wei Y.,Tang Y.Y.,&Li H..(2010).Gabor-based tensor local discriminant embedding and its application on palmprint recognition.International Journal of Wavelets, Multiresolution and Information Processing,8(2),327-342.
MLA Cui L.,et al."Gabor-based tensor local discriminant embedding and its application on palmprint recognition".International Journal of Wavelets, Multiresolution and Information Processing 8.2(2010):327-342.
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