Computational Intelligence and Neuroscience / 2012 / Article / Tab 1

Research Article

A Gabor-Block-Based Kernel Discriminative Common Vector Approach Using Cosine Kernels for Human Face Recognition

Table 1

Average recognition results using FRAV2D database.

Recognition accuracy (%)
MethodNo. of training samplesAverage recognition rates (%)
34

GWT85.589.587.5
KDCV79.58280.75
GWT-LDA88.390.3389.33
GWT-KDCV (RBF)879088.5
GWT-KDCV (Cosine)889089
GWT-KDCV (RBF, low-energized)9092.591.25
GWT-KDCV (Cosine, low-energized)96.12597.7596.9