Explorar o código

Fixed double appendix in report.

Taddeus Kroes %!s(int64=14) %!d(string=hai) anos
pai
achega
bdadc31333
Modificáronse 1 ficheiros con 18 adicións e 27 borrados
  1. 18 27
      docs/report.tex

+ 18 - 27
docs/report.tex

@@ -635,14 +635,14 @@ were instantaneous! A crew to remember.
 \section{Discussion}
 We had some good results but of course there are more things to explore.
 For instance we did a research on three different patterns. There are more patterns
-to try. For instane we only tried (8,3)-, (8,5)- and (12,5). The interesting to 
+to try. For instane we only tried (8,3)-, (8,5)- and (12,5). The interesting to
 do is to test which pattern gives the best result. This is also done by grid-
-searching, changing the size of circle and the amount of neighbours. 
+searching, changing the size of circle and the amount of neighbours.
 
 One important feature of our framework is that the LBP class can be changed by
 an other technique. This may be a different algorithm than LBP. Also the classifier
 can be changed in an other classifier. By applying these kind of changes we can
-find the best way to recognize licence plates. 
+find the best way to recognize licence plates.
 
 We don't do assumption when a letter is recognized. For instance dutch licence plates
 exist of three blocks, two digits or two characters. Or for the new licence plates
@@ -651,30 +651,6 @@ two digits. The assumption we can do is when there is have a case when one digit
 is moste likely to follow by a second digit and not a character. Maybe these assumption
 can help in future research to achieve a higher accuracy rate.
 
- 
-\appendix
-\section{Faulty Classifications}
-\begin{figure}[H]
-\center
-\includegraphics[scale=0.5]{faulty.png}
-\caption{Faulty classifications of characters}
-\end{figure}
-\end{document}
-
-\begin{thebibliography}{9}
-\bibitem{lbp1}
-  Matti Pietik\"ainen, Guoyin Zhao, Abdenour hadid,
-  Timo Ahonen.
-  \emph{Computational Imaging and Vision}.
-  Springer-Verlag, London,
-  1st Edition,
-  2011.
-\bibitem{wikiplate}
-  \emph{Automatic number-plate recognition}. (2011, December 17).\\
-  Wikipedia.
-  Retrieved from http://en.wikipedia.org/wiki/Automatic\_number\_plate\_recognition
-\end{thebibliography}
-
 \appendix
 
 \section{Faulty Classifications}
@@ -685,4 +661,19 @@ can help in future research to achieve a higher accuracy rate.
     \caption{Faulty classifications of characters}
 \end{figure}
 
+\begin{thebibliography}{9}
+    \bibitem{lbp1}
+        Matti Pietik\"ainen, Guoyin Zhao, Abdenour hadid,
+        Timo Ahonen.
+        \emph{Computational Imaging and Vision}.
+        Springer-Verlag, London,
+        1st Edition,
+        2011.
+    \bibitem{wikiplate}
+        \emph{Automatic number-plate recognition}. (2011, December 17). \\
+        Wikipedia.
+        Retrieved from
+        \url{http://en.wikipedia.org/wiki/Automatic_number_plate_recognitiona}
+\end{thebibliography}
+
 \end{document}