Title :
SVD-based projection for face recognition
Author :
Hsu, Chou-Hao ; Chen, Chaur-Chin
Author_Institution :
Nat. Tsing Hua Univ., Hsinchu
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);
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
DOI :
10.1109/EIT.2007.4374514
