Commit bdadc313 authored by Taddeus Kroes's avatar Taddeus Kroes

Fixed double appendix in report.

parent ad483f62
......@@ -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}
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