SVD-based projection for face recognition

Author

Hsu, Chou-Hao ; Chen, Chaur-Chin

Author_Institution

Nat. Tsing Hua Univ., Hsinchu

fYear

2007

fDate

17-20 May 2007

Firstpage

600

Lastpage

603

Abstract

Projection-based face recognition has been widely studied during the past two decades. One of the problems is to require a huge storage space to save the face features obtained from training faces. This paper proposes an SVD-based face retrieval system which requires less memory than the PCA, 2DPCA, Fisher, and 2DFisher approaches. The algorithm tested on the famous ORL (AT&T) face database, consisted of 400 112 x 92 gray level face images equally contributed by 40 subjects, achieves 97.5% recognition rate of retrievals.

Keywords

face recognition; feature extraction; image retrieval; singular value decomposition; visual databases; ORL face database; SVD-based projection; face recognition; face retrieval system; feature extraction; gray level face images; singular value decomposition; Face recognition; Image databases; Image recognition; Image retrieval; Independent component analysis; Principal component analysis; Singular value decomposition; Spatial databases; Testing; Tomography; Eigenface; Fisherface; Singular Value Decomposition (SVD);

fLanguage

English

Publisher

ieee

Conference_Titel

Electro/Information Technology, 2007 IEEE International Conference on

Conference_Location

Chicago, IL

Print_ISBN

978-1-4244-0941-9

Electronic_ISBN

978-1-4244-0941-9

Type

conf

DOI

10.1109/EIT.2007.4374514

Filename

4374514

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1971644