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Title of Journal: J Cent South Univ

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Abbravation: Journal of Central South University

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Central South University

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10.1016/0377-0273(95)00041-0

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2227-5223

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2DPCA versus PCA for face recognition

Authors: Jianjun Hu Guanzheng Tan Fenggang Luan A S M Libda
Publish Date: 2015/05/08
Volume: 22, Issue: 5, Pages: 1809-1816
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Abstract

Dimensionality reduction methods play an important role in face recognition Principal component analysis PCA and twodimensional principal component analysis 2DPCA are two kinds of important methods in this field Recent research seems like that 2DPCA method is superior to PCA method To prove if this conclusion is always true a comprehensive comparison study between PCA and 2DPCA methods was carried out A novel concept called columnimage difference CID was proposed to analyze the difference between PCA and 2DPCA methods in theory It is found that there exist some restrictive conditions when 2DPCA outperforms PCA After theoretical analysis the experiments were conducted on four famous face image databases The experiment results confirm the validity of theoretical claim

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