Research Article

An Improved EMD-Based Dissimilarity Metric for Unsupervised Linear Subspace Learning

Table 20

The recognition rates on pincushion distortion Extended Yale B face database over “F1” and “F2” features; recognition rates (dimensionality).

Face database Algorithms G6/P10 G7/P9 G8/P8 G9/P7 G10/P6

Pincushion distortionBaseline (F1)0.1317 (32256) 0.1387 (32256) 0.1506 (32256) 0.1579 (32256) 0.1622 (32256)
LPP (F1)0.2952 (90) 0.3333 (100) 0.3623 (110) 0.3833 (115) 0.4103 (110)
Algorithm 1 (F1)0.3625 (90)0.3937 (100) 0.4144 (105)0.4338 (115)0.4558 (120)

Pincushion distortion Baseline (F2)0.2425 (360)0.2476 (360)0.2637 (360)0.2798 (360)0.2864 (360)
LPP (F2)0.1772 (120) 0.1930 (135) 0.2012 (145) 0.2150 (130) 0.2256 (160)
Algorithm 1 (F2)0.2175 (110) 0.2281 (120) 0.2392 (130) 0.2564 (155) 0.2636 (155)