Merge branch 'master' of github.com:taddeus/licenseplates

docs/report.tex

@@ -547,11 +547,11 @@ 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 $94.0\%$. However, this is for a single
+Our program scores an average of $94.3\%$. However, this is for a single
 character. That means that a full license plate should theoretically
-get a score of $0.940^6 = 0.690$, so $69.0\%$. That is not particularly
+get a score of $0.943^6 = 0.703$, so $70.3\%$. That is not particularly
 good compared to the commercial ones. However, our focus was on getting
-good scores per character. For us, $94\%$ is a very satisfying result.
+good scores per character. For us, $94.3\%$ is a very satisfying result.
 
 \subsubsection*{Faulty classified characters}