Research Article

Color Face Recognition Based on Steerable Pyramid Transform and Extreme Learning Machines

Table 5

Performance comparison in the color component images of LCSPT-ELM face recognition algorithm: the color FERET database.

ā€‰fb setdup1 set
ā€‰HS 0 HS 0

91.1993.1591.6889.7291.6873.3571.8874.8272.3773.35
91.1991.6894.1392.6693.6478.2572.3777.2769.4373.84
92.6692.6694.1393.6495.1170.9071.3971.3968.4574.82
91.7092.6695.6491.1993.6472.8670.9084.3975.3974.82
94.6292.1794.6295.1194.6269.9264.0373.3561.0973.84
93.6493.1593.1589.7292.6675.8075.3179.7267.4777.27
90.7095.6095.1194.1396.0970.4169.4370.9072.8677.27
92.6691.1991.6887.2793.1569.4362.5669.9255.7065.50
87.7692.6692.1790.2191.6869.4373.8474.8271.8874.82
89.7292.6694.6291.1994.1371.3972.3776.2974.8276.78
92.6693.6495.6493.1594.6276.2977.7680.2172.3782.17
73.0574.0376.9875.5076.9849.8253.2556.1952.7655.21
92.1792.1793.6491.6893.6473.3571.8870.9070.4173.35
93.6491.6890.2190.7093.6474.8269.4376.7863.0576.78
94.6291.6893.1593.1593.1566.4965.5071.8866.4972.86
93.1592.6693.6491.1994.1370.4169.4374.3366.4971.88
91.7092.6694.1392.1793.1568.9469.9270.4168.9475.31
91.6893.1593.6491.1992.1773.8470.9069.9269.4374.82
91.6889.2389.2389.7291.1971.3965.0170.4160.6069.92
92.1791.6894.6292.1795.1169.9268.4573.3568.4583.29
90.2193.6495.6491.1992.6669.4372.3776.7875.3776.78
88.7492.6694.1390.2193.1566.0067.4773.8469.9273.84
92.6692.1792.6690.7094.1374.8272.8676.7865.5077.27
96.5895.1194.1394.1393.6472.8574.3375.8071.8877.76

Bold values specify the color components and their subbands with high correctness.