Research Article

Face Recognition Using Double Sparse Local Fisher Discriminant Analysis

Table 2

The top recognition rates (%) and the corresponding dimensions on ORL database by different methods (mean ± std).

2 trains3 trains4 trains5 trains6 trains

PCA71.63 ± 3.06
()
79.14 ± 1.91
()
83.87 ± 1.77
()
86.85 ± 2.01
()
89.94 ± 2.72
()
LDA75.87 ± 3.42
()
85.96 ± 2.61
()
91.54 ± 1.51
()
93.85 ± 1.63
()
95.63 ± 1.89
()
LPP78.78 ± 2.80
()
86.25 ± 2.93
()
90.46 ± 1.83
()
94.40 ± 1.71
()
95.94 ± 1.96
()
LFDA82.13 ± 3.19
()
87.00 ± 2.97
()
90.83 ± 1.73
()
94.50 ± 1.90
()
96.06 ± 2.74
()
SPCA71.16 ± 2.80
()
78.50 ± 2.42
()
84.04 ± 1.82
()
86.80 ± 2.28
()
90.56 ± 2.03
()
SLDA82.03 ± 2.82
()
90.21 ± 1.85
()
93.79 ± 1.26
()
96.05 ± 1.83
()
97.56 ± 1.12
()
SPP79.53 ± 2.22
()
83.50 ± 2.08
()
86.58 ± 2.10
()
87.40 ± 2.63
()
88.19 ± 3.19
()
DSNPE78.97 ± 3.47
()
86.43 ± 1.92
()
92.92 ± 1.59
()
94.60 ± 1.96
()
95.94 ± 2.29
()
DSLFDA81.16 ± 2.88
()
90.25 ± 2.51
()
94.38 ± 1.54
()
96.65 ± 1.20
()
97.88 ± 1.03
()