Eigenvector Weighting Function in Face Recognition

Table 3

Performance comparison in terms of average error rate.

Approach	Feature dimension	Error rate of 1st fold test (%)	Error rate of 2nd fold test (%)	Error rate of 3rd fold test (%)	Error rate of 4th fold test (%)	Average error ± std deviation (%)
FRGC database
PCA	200	52.624	51.569	44.681	47.155	49.007 ± 3.73
NPE	130	45.587	43.078	39.062	40.378	42.026 ± 2.90
EWF_NPE	110	44.409	40.424	36.969	39.686	40.372 ± 3.07
LPP	190	41.127	38.063	38.957	35.679	38.456 ± 2.25
EWF_LPP	70	41.300	38.919	36.684	36.621	38.381 ± 2.22
FERET database
PCA	80	46.823	38.971	31.514	44.811	40.530 ± 6.87
NPE	70	44.169	37.883	32.538	45.737	40.082 ± 6.06
EWF_NPE	30	43.644	37.998	33.029	38.561	38.308 ± 4.33
LPP	70	44.631	38.657	32.516	46.358	40.541 ± 6.28
EWF_LPP	20	43.351	36.924	32.948	39.719	38.235 ± 4.39