## 4 Proposed Work
\begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline \multirow{2}{*}{**Dataset**} & \multirow{2}{*}{**Image Size**} & \multicolumn{2}{c}{**No FS**} & \multicolumn{2}{c}{**SA**} & \multicolumn{2}{c}{**GA**} & \multicolumn{2}{c}{**MA**} \\ \cline{3-10}  & & & **Feature Dimension** & **Accuracy Score (\%)** & **Feature Dimension** & **Accuracy Score (\%)** & **Feature Dimension** & **Accuracy Score (\%)** \\ \hline \multirow{3}{*}{JAFFE} & \(32\times 32\) & & 62.34 & 481 & 37.66 & 661 & 71.43 & 542 & 76.62 \\ \cline{2-10}  & \(48\times 48\) & & 62.34 & 487 & 45.45 & **678** & **79.22** & 672 & 76.62 \\ \cline{2-10}  & \(64\times 64\) & & 59.74 & 493 & 45.45 & 611 & 70.13 & 703 & 71.43 \\ \cline{2-10}  & \(32\times 32\) & & 83.38 & 485 & 69.40 & 791 & 86.38 & 716 & 86.75 \\ \hline \multirow{3}{*}{RAFD} & \(48\times 48\) & & 88.62 & 441 & 78.73 & 696 & 92.16 & 696 & 91.47 \\ \cline{2-10}  & \(64\times 64\) & & 86.38 & 487 & 76.49 & 677 & 90.11 & 554 & 91.42 \\ \hline \multirow{3}{*}{**Dataset**} & \multicolumn{2}{c}{**ME-BPSO**} & \multicolumn{2}{c}{**WAO-CM**} & \multicolumn{2}{c}{**LHCMA**} & \multicolumn{2}{c}{**SFHSA**} \\ \cline{2-10}  & & **Feature Dimension** & **Accuracy Score (\%)** & **Feature Dimension** & **Score (\%)** & **Dimension** & **Score (\%)** \\ \hline \multirow{3}{*}{JAFFE} & \multirow{3}{*}{2118} & 61.04 & 3894 & 61.04 & **2235** & **72.73** & 1380 & 67.41 \\ \cline{2-10}  & & 1975 & 50.65 & 2921 & 51.95 & **2158** & **63.64** & 1416 & 55.84 \\ \cline{1-1} \cline{2-10}  & & 2595 & 50.65 & 1469 & 54.55 & 2060 & 58.44 & **1433** & **67.42** \\ \hline \multirow{3}{*}{RAFD} & \multirow{3}{*}{2758} & \(66.98\) & 3772 & 70.71 & 221 & 70.34 & **1513** & **72.39** \\ \cline{2-10}  & & 2615 & 72.57 & **3489** & **77.61** & 2279 & 75.19 & 1493 & 75.74 \\ \cline{1-1} \cline{2-10}  & & 2584 & 69.22 & 3914 & 75.56 & 2383 & 73.69 & **1494** & **75.81** \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Performance of SFHSA with respect to No FS, SA, GA, MA, ME-BPSO, WAO-CM and LHCMA for uLBP features. \begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Dataset**} & \multirow{2}{*}{**Image Size**} & \multicolumn{2}{c}{**No PS**} & \multicolumn{2}{c}{**SA**} & \multicolumn{2}{c}{**GA**} & \multicolumn{2}{c}{**MA**} \\ \cline{3-10}  & & **Feature Dimension** & **Accuracy Score (\%)** & **Feature Dimension** & **Accuracy Score (\%)** & **Feature Dimension** & **Accuracy Score (\%)** & **Feature Dimension** & **Accuracy Score (\%)** \\ \hline \multirow{3}{*}{JAFF} & 32\(\times\)32 & 324 & 71.43 & 178 & 70.13 & 195 & 85.71 & 206 & 83.12 \\ \cline{2-10}  & 48\(\times\)48 & 900 & 74.03 & 444 & 67.53 & 530 & 89.61 & 507 & 87.01 \\ \cline{2-10}  & 64\(\times\)64 & 1764 & 71.43 & 887 & 58.44 & 1097 & 80.52 & 1105 & 83.12 \\ \hline \multirow{3}{*}{RAFD} & 32\(\times\)32 & 324 & 88.43 & 143 & 85.74 & 186 & 92.16 & 167 & 92.16 \\ \cline{2-10}  & 48\(\times\)48 & 900 & 94.22 & 538 & 91.54 & 480 & 97.01 & 390 & 97.01 \\ \cline{2-10}  & 64\(\times\)64 & 1764 & 93.66 & 816 & 92.66 & 867 & 96.27 & 675 & 96.27 \\ \hline \multirow{3}{*}{**Dataset**} & **Mean-BPSO** & **WAO-CM** & **LHCAA** & **SFHSA** & & & & \\ \cline{2-10}  & 195 & 82.32 & 281 & 81.03 & 182 & 87.01 & **189** & **87.94** \\ \cline{2-10}  & 440 & 85.32 & 371 & 88.22 & 482 & 89.61 & **493** & **82.21** \\ \cline{2-10}  & 923 & 82.12 & 1446 & 81.62 & 1008 & 83.12 & **1411** & **85.71** \\ \hline \multirow{3}{*}{RAFD} & 211 & 85.07 & 295 & 86.94 & **160** & **92.35** & 205 & 89.15 \\ \cline{2-10}  & 530 & 93.91 & 605 & 93.47 & **455** & **97.20** & 385 & 95.40 \\ \cline{2-10}  & 1039 & 95.15 & 1041 & 94.96 & **800** & **97.37** & 544 & 96.32 \\ \hline \hline \end{tabular}
\end{table} 
Table 7: Performance of SFHSA with respect to No FS, SA, GA, MA, ME-BPSO, WAO-CM and LHCAA for PHOG features.