Changed 93 to 93.2 procent.

docs/report.tex

@@ -558,11 +558,11 @@ According to Wikipedia \cite{wikiplate}, commercial license plate recognition
 that are currently on the market software score about $90\%$ to $94\%$, under
 optimal conditions and with modern equipment.
 
-Our program scores an average of $93\%$. However, this is for a single
+Our program scores an average of $93.2\%$. However, this is for a single
 character. That means that a full license plate should theoretically
-get a score of $0.93^6 = 0.647$, so $64.7\%$. That is not particularly
+get a score of $0.932^6 = 0.655$, so $65.5\%$. That is not particularly
 good compared to the commercial ones. However, our focus was on getting
-good scores per character. For us, $93\%$ is a very satisfying result.
+good scores per character. For us, $93.2\%$ is a very satisfying result.
 
 \subsubsection*{Faulty classified characters}