Computational Intelligence and Neuroscience / 2012 / Article / Tab 6

Research Article

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

Table 6

Comparison of recognition accuracy of various methods with the proposed method.

MethodHighest recognition accuracy

GDA78.04%
Elastic graph matching (EGM) [9]80.00%
DCT-LDA80.87%
GWT81.1%
DCT-GDA82.84%,
GWT-LDA84.1%
DCT-KDCV85.13%
Gabor fusion KDCV 91.22%
Proposed approach94.25%