TY - JOUR
T1 - Face recognition by regularized discriminant analysis
AU - Dai, Dao Qing
AU - YUEN, Pong Chi
N1 - Funding Information:
Manuscript received December 9, 2005; revised June 14, 2006. This work was supported in part by the National Science Foundation (NSF) of China under Grants 60175031, 60575004, and 10231040, by the NSF of GuangDong under Grant 05101817, by the Ministry of Education of China under Grant NCET-04-0791, and by the Research Grant Council (RGC) Earmarked Research Grant HKBU-2119/03E. This paper was recommended by Associate Editor N. K. Ratha.
PY - 2007/8
Y1 - 2007/8
N2 - When the feature dimension is larger than the number of samples the small sample-size problem occurs. There is great concern about it within the face recognition community. We point out that optimizing the Fisher index in linear discriminant analysis does not necessarily give the best performance for a face recognition system. We propose a new regularization scheme. The proposed method is evaluated using the Olivetti Research Laboratory database, the Yale database, and the Feret database.
AB - When the feature dimension is larger than the number of samples the small sample-size problem occurs. There is great concern about it within the face recognition community. We point out that optimizing the Fisher index in linear discriminant analysis does not necessarily give the best performance for a face recognition system. We propose a new regularization scheme. The proposed method is evaluated using the Olivetti Research Laboratory database, the Yale database, and the Feret database.
KW - Face recognition
KW - Optimization
KW - Regularized discriminant analysis (RDA)
KW - Small sample-size problem
UR - http://www.scopus.com/inward/record.url?scp=34547112821&partnerID=8YFLogxK
U2 - 10.1109/TSMCB.2007.895363
DO - 10.1109/TSMCB.2007.895363
M3 - Article
C2 - 17702305
AN - SCOPUS:34547112821
VL - 37
SP - 1080
EP - 1085
JO - IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
JF - IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
SN - 1083-4419
IS - 4
ER -