Master Thesis - Department of Computer Science
Master Thesis - Department of Computer Science
Master Thesis - Department of Computer Science
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Table 3.3: Peak Recognition Accuracy (PRA) and EER <strong>of</strong> subband face representa-<br />
tion integrated with PCA, LDA, 2D-PCA, 2D-LDA and DCV with subject-specific<br />
subbands obtained using four criteria on Yale database.<br />
Subband Face(C1) Subband Face(C2) Subband Face(C3) Subband Face(C4)<br />
Methods PRA EER PRA EER PRA EER PRA EER<br />
PCA 91.67 6.67 95.00 3.33 91.67 6.67 93.33 6.07<br />
LDA 96.67 2.26 96.67 2.26 96.67 2.26 100 0.47<br />
2D-PCA 98.33 5.00 96.67 5.00 98.33 5.00 93.33 5.36<br />
2D-LDA 91.67 5.00 93.33 5.00 93.33 5.00 91.67 6.67<br />
DCV 95.00 3.33 95.00 3.33 95.00 3.33 81.67 5.71<br />
Table 3.4: Peak Recognition Accuracy (PRA) and EER <strong>of</strong> subband face representa-<br />
tion integrated with PCA, LDA, 2D-PCA, 2D-LDA and DCV with subject-specific<br />
subbands obtained using four criteria on PIE database.<br />
Subband Face(C1) Subband Face(C2) Subband Face(C3) Subband Face(C4)<br />
Methods PRA EER PRA EER PRA EER PRA EER<br />
PCA 85.38 4.51 85.38 4.51 85.38 4.51 85.38 4.51<br />
LDA 93.27 2.55 92.76 2.76 92.63 2.88 91.86 3.09<br />
2D-PCA 92.31 2.03 92.24 2.03 92.05 2.18 92.76 1.94<br />
2D-LDA 87.88 4.29 86.15 4.76 86.92 4.55 87.56 4.33<br />
DCV 95.13 1.15 94.94 1.13 95.32 1.13 92.63 1.98<br />
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