Fusing Two Kinds of Virtual Samples for Small Sample Face Recognition

Table 5

Classification error rates of different algorithms on the FLW database.

The number of training samples	1	2	3
CRC-original	0.8437	0.7660	0.7641
CRC-mirror face	0.8282	0.7485	0.7276
CRC-symmetrical face	0.8359	0.7558	0.7359
CRC-the proposed scheme	0.8178	0.7485	0.7209
INNC	0.8437	0.7718	0.7674
INNC-mirror face	0.8282	0.7747	0.7425
INNC-symmetrical face	0.8359	0.7631	0.7425
INNC-the proposed scheme	0.8178	0.7631	0.7342
SFRFR	0.8437	0.7922	0.7724
SFRFR-mirror face only	0.8282	0.7631	0.7392
SFRFR-symmetrical face only	0.8359	0.7645	0.7409
SFRFR-the proposed scheme	0.8178	0.7456	0.7209
TPTSR	0.8346	0.7442	0.7276
TPTSR-mirror face only	0.8217	0.7413	0.7010
TPTSR-symmetrical face only	0.8140	0.7311	0.7010
TPTSR-the proposed scheme	0.8127	0.7311	0.6910