Research Article

Jointly Learning the Discriminative Dictionary and Projection for Face Recognition

Table 5

The recognition accuracies (the top average recognition accuracy ± standard deviation %) of methods on the CMU PIE database under various feature dimensions.

Methoddim = 50dim = 100dim = 150dim = 200dim = 250

PCA + SRC89.55 ± 0.7291.44 ± 0.7092.08 ± 0.6092.26 ± 0.6292.23 ± 0.59
DRSRC89.04 ± 0.8491.38 ± 0.5791.89 ± 0.6292.08 ± 0.5992.11 ± 0.70
LCK-SVD74.80 ± 1.8488.12 ± 1.1088.91 ± 0.9989.31 ± 0.8989.16 ± 1.03
FDDL78.52 ± 1.4289.47 ± 0.8691.72 ± 0.5892.54 ± 0.4492.90 ± 0.61
LSD76.98 ± 0.5189.43 ± 0.6990.97 ± 0.5592.37 ± 0.7193.12 ± 0.93
JDDRDL83.75 ± 2.2791.59 ± 0.6592.94 ± 0.6593.34 ± 0.7093.30±0.71
DSRC84.42 ± 1.5488.37 ± 1.2891.24 ± 0.9791.65 ± 0.6392.44 ± 0.53
JNPDL86.63 ± 1.1991.23 ± 1.3593.18 ± 0.6992.64 ± 0.7792.15 ± 0.64
JLDDP90.09±1.3692.87±0.9994.07±0.8293.89±0.8793.23 ± 0.79