Fusing Two Kinds of Virtual Samples for Small Sample Face Recognition

Table 2

Classification error rates of different algorithms on the ORL database.

The number of training samples	1	2	3
CRC-original	0.3194	0.1656	0.1393
CRC-mirror face	0.2944	0.1469	0.1321
CRC-symmetrical face	0.3056	0.1500	0.1286
CRC-the proposed scheme	0.2944	0.1437	0.1179
INNC	0.3194	0.2125	0.2179
INNC-mirror face	0.2944	0.2125	0.2000
INNC-symmetrical face	0.3000	0.2094	0.2000
INNC-the proposed scheme	0.2944	0.1938	0.1750
SFRFR	0.3194	0.1969	0.1750
SFRFR-mirror face only	0.2944	0.1750	0.1250
SFRFR-symmetrical face only	0.3000	0.1656	0.1179
SFRFR-the proposed scheme	0.2944	0.1656	0.0929
TPTSR	0.2861	0.1250	0.1000
TPTSR-mirror face only	0.2722	0.1219	0.0893
TPTSR-symmetrical face only	0.2806	0.1094	0.0821
TPTSR-the proposed scheme	0.2667	0.1094	0.0750