The Scientific World Journal / 2014 / Article / Tab 1

Research Article

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

Table 1

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

ex1ex2
HS 0 HS 0

90.9795.1394.4487.50 94.4491.9691.0791.3686.3091.36
91.6694.44 93.0590.9793.0590.7791.6691.6685.7191.07
91.6691.6693.1392.6494.1193.7593.1593.7591.0794.04
93.7594.4493.0591.6694.4494.0493.7594.6490.4794.04
86.11 90.97 90.97 86.1191.67 85.7189.2890.1787.2092.26
86.80 92.3693.7588.1993.0586.9092.5591.6688.3992.26
89.5891.6695.8390.9794.4490.1794.3494.9489.5894.94
85.4182.6384.0275.0090.2787.2085.4186.3077.0886.90
90.97 93.0590.97 87.5090.97 88.0986.6086.9083.6388.09
90.9793.0593.7587.5092.3691.3692.2692.8588.6992.26
88.8990.2795.1390.2791.6687.2094.0493.7588.0991.36
74.3077.7782.6374.3081.2571.4274.1080.9574.7076.78
91.6695.1393.0590.9793.7591.0794.0493.15 89.8893.75
82.6390.2792.3686.8090.9783.6388.9891.66 84.5287.50
93.6290.6892.1592.1592.1585.7189.2891.3684.8290.47
90.9792.3693.7588.8894.4491.3692.5592.2688.3992.26
93.0592.3696.5291.6693.7592.8593.4594.6490.4793.15
92.3694.4494.4490.2794.4494.0493.7594.0490.7793.75
87.5089.5890.9786.8088.1989.2888.9891.6686.9089.88
90.9792.3696.5292.3694.4493.4593.1594.0490.4794.04
89.5894.4493.7586.8090.9790.4792.5592.2688.6992.85
92.3693.0595.1388.1993.7592.8592.5592.2688.0993.45
85.4192.3694.4487.5092.3682.7393.7590.1786.3089.28
89.5892.3692.3688.8894.4487.7991.3693.4587.7994.94

Bold values mean the color components with correctness over 90% for all subbands and the subbands with the highest correctness.

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