## 4 Results
### Arabic-Hindi Classification
\begin{table}
\begin{tabular}{c c c c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Numeral**} & \multicolumn{8}{c}{**Number of Times Recognized As**} & \multicolumn{8}{c}{**Number of Missrecognized**} & \multicolumn{2}{c}{**Recognition Rate (\%)**} \\ \cline{2-13}  & **\(\bullet\)** & \(\blacktriangledown\)** & \(\blacktriangledown\)** & \(\blacktriangledown\)** & \(\blacktriangledown\)** & \(\blacktriangledown\)** & \(\blacktriangledown\)** & \(\blacktriangledown\)** & **A** & **\(\blacktriangle\)** & **\(\blacktriangledown\)** \\ \hline \(\bullet\) & 685 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 100 \\ \hline \(\blacktriangledown\) & 0 & 686 & 2 & 0 & 1 & 0 & 0 & 0 & 0 & 1 & 4 & 99.42 \\ \hline \(\blacktriangledown\) & 0 & 2 & 686 & 7 & 0 & 1 & 0 & 0 & 0 & 0 & 10 & 98.56 \\ \hline \(\blacktriangledown\) & 0 & 0 & 0 & 715 & 0 & 0 & 0 & 1 & 0 & 0 & 1 & 99.86 \\ \hline \(\blacktriangle\) & 0 & 1 & 1 & 0 & 714 & 0 & 0 & 0 & 0 & 0 & 2 & 99.72 \\ \hline \(\blacktriangle\) & 0 & 0 & 0 & 0 & 0 & 707 & 0 & 0 & 1 & 1 & 2 & 99.72 \\ \hline \(\blacktriangledown\) & 0 & 0 & 0 & 0 & 0 & 0 & 720 & 0 & 0 & 0 & 0 & 100 \\ \hline \(\blacktriangledown\) & 0 & 0 & 0 & 0 & 0 & 4 & 0 & 718 & 1 & 0 & 5 & 99.31 \\ \hline \(\blacktriangle\) & 0 & 0 & 0 & 0 & 0 & 2 & 1 & 0 & 720 & 0 & 3 & 99.59 \\ \hline \(\blacktriangle\) & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 711 & 0 & 100 \\ \hline \multicolumn{13}{c}{Total Number of Misrecognized} & \multicolumn{8}{c}{27} \\ \hline \hline \multicolumn{13}{c}{Total Number of Correctly Recognized} & \multicolumn{8}{c}{7062} \\ \hline \hline \end{tabular}
\end{table} 
Table 29: Recognition rates for Hindi numerals classification using _RMSProp_ training algorithm. \begin{table}
\begin{tabular}{c c c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Numeral**} & \multicolumn{8}{c}{**Number of Times Recognized As**} & \multicolumn{8}{c}{**Number of Missrecognized**} & \multicolumn{2}{c}{**Recognition Rate (\%)**} \\ \cline{2-13}  & **\(\bullet\)** & \(\blacktriangledown\)** & \(\blacktriangledown\)** & \(\blacktriangledown\)** & \(\blacktriangledown\)** & \(\blacktriangledown\)** & \(\blacktriangledown\)** & **A** & **\(\blacktriangle\)** & **\(\blacktriangledown\)** \\ \hline \(\bullet\) & 685 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 100 \\ \hline \(\blacktriangledown\) & 0 & 686 & 2 & 0 & 1 & 0 & 0 & 0 & 0 & 1 & 4 & 99.42 \\ \hline \(\blacktriangledown\) & 0 & 2 & 686 & 7 & 0 & 1 & 0 & 0 & 0 & 0 & 10 & 98.56 \\ \hline \(\blacktriangledown\) & 0 & 0 & 0 & 715 & 0 & 0 & 0 & 1 & 0 & 0 & 1 & 99.86 \\ \hline \(\blacktriangle\) & 0 & 1 & 1 & 0 & 714 & 0 & 0 & 0 & 0 & 0 & 2 & 99.72 \\ \hline \(\blacktriangle\) & 0 & 0 & 0 & 0 & 0 & 707 & 0 & 0 & 1 & 1 & 2 & 99.72 \\ \hline \(\blacktriangledown\) & 0 & 0 & 0 & 0 & 0 & 0 & 720 & 0 & 0 & 0 & 0 & 100 \\ \hline \(\blacktriangledown\) & 0 & 0 & 0 & 0 & 0 & 4 & 0 & 718 & 1 & 0 & 5 & 99.31 \\ \hline \(\blacktriangle\) & 0 & 0 & 0 & 0 & 0 & 2 & 1 & 0 & 720 & 0 & 3 & 99.59 \\ \hline \(\blacktriangle\) & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 711 & 0 & 100 \\ \hline \multicolumn{13}{c}{Total Number of Misrecognized} & \multicolumn{8}{c}{27} \\ \hline \hline \multicolumn{13}{c}{Total Number of Correctly Recognized} & \multicolumn{8}{c}{7062} \\ \hline \hline \end{tabular}
\end{table} 
Table 30: Misrecognized images for Hindi numerals classification using _RMSProp_ training algorithm. recognition rate was for numeral \"\(\gamma\)\". It was misrecognized four times; two of them as \"\(\tau\)\". This happened because of the way that number was written, which is sometimes can be misleading. Table 32 shows all the misrecognized images for Hindi classification using this setup. It is obvious from this table that some of the images were misrecognized due to unclear and misleading handwriting.