Fusing Two Kinds of Virtual Samples for Small Sample Face Recognition

Table 4

Classification error rates of different algorithms on the FERET database.

The number of training samples	1	2	3
CRC-original	0.5567	0.4160	0.5563
CRC-mirror face	0.5550	0.4050	0.5012
CRC-symmetrical face	0.5492	0.3950	0.4975
CRC-the proposed scheme	0.5417	0.3950	0.4625
INNC	0.5567	0.4170	0.4950
INNC-mirror face	0.5550	0.4240	0.4875
INNC-symmetrical face	0.5492	0.4100	0.4900
INNC-the proposed scheme	0.5408	0.4080	0.4713
SFRFR	0.5692	0.3840	0.4625
SFRFR-mirror face only	0.5550	0.3700	0.4150
SFRFR-symmetrical face only	0.5492	0.3630	0.4138
SFRFR-the proposed scheme	0.5492	0.3400	0.3987
TPTSR	0.5133	0.3700	0.4250
TPTSR-mirror face only	0.4942	0.3430	0.3713
TPTSR-symmetrical face only	0.4842	0.3390	0.3588
TPTSR-the proposed scheme	0.4692	0.3200	0.3400