فهرست منبع

Added some text to plan.tex.

Taddeus Kroes 14 سال پیش
والد
کامیت
40b201214e
2فایلهای تغییر یافته به همراه36 افزوده شده و 16 حذف شده
  1. 5 1
      .gitignore
  2. 31 15
      docs/plan.tex

+ 5 - 1
.gitignore

@@ -1,4 +1,8 @@
 *.swp
 *.swp
+*~
 *.pyc
 *.pyc
 *.pdf
 *.pdf
-*~
+*.aux
+*.log
+*.synctex.gz
+*.toc

+ 31 - 15
plan.tex → docs/plan.tex

@@ -3,6 +3,10 @@
 \title{Teaching a computer to learn, find and read licence plates}
 \title{Teaching a computer to learn, find and read licence plates}
 \date{November 17th, 2011}
 \date{November 17th, 2011}
 
 
+% Paragraph indentation
+\setlength{\parindent}{0pt}
+\setlength{\parskip}{1ex plus 0.5ex minus 0.2ex}
+
 \begin{document}
 \begin{document}
 \maketitle
 \maketitle
 
 
@@ -15,50 +19,62 @@ Gijs van der Voort\\Richard Torenvliet\\Jayke Meijer\\Tadde\"us Kroes\\Fabi\'en
 \section{Introduction}
 \section{Introduction}
 
 
 Licence plates are used all over the world. The plates are, usually, attached to the front and rear
 Licence plates are used all over the world. The plates are, usually, attached to the front and rear
-of a motorised vehicle and used for indentifying this vehicle. Every
+of a motorised vehicle and used for identifying this vehicle. Every
 country can have more or less its own version of a licence plate, but all these systems do not 
 country can have more or less its own version of a licence plate, but all these systems do not 
-differ greatly. We will be focusing on the dutch system for licence plates.
+differ greatly. We will be focusing on the Dutch system for licence plates.
 
 
 \section{Problem Description}
 \section{Problem Description}
 
 
-License plates are used for indentification and thus made to recognize from great
+License plates are used for identification and thus made to recognize from great
 distances and still be seen in many weather conditions. Our learning set of photos contains
 distances and still be seen in many weather conditions. Our learning set of photos contains
-''' ik weet niet precies wat voor camera ''. The angle in which these pictures are taken or the angle 
+'' ik weet niet precies wat voor camera ''. The angle in which these pictures are taken or the angle 
 of the approaching vehicles are always different and some licence plates are a bit dirty,
 of the approaching vehicles are always different and some licence plates are a bit dirty,
-but for a human they are still pretty easy to indentify. A computer or perhaps a small
-chipset will need to be thourougly practiced. In short our program must be able to
+but for a human they are still pretty easy to identify. A computer or perhaps a small
+chipset will need to be thoroughly practiced. In short our program must be able to
 do the following:
 do the following:
 
 
-\begin{itemize}
+\begin{enumerate}
 \item Find the location of the license plate.
 \item Find the location of the license plate.
-\item Use transformations so it gets an upfront view.
+\item Use perspective transformations to obtain an upfront view.
 \item Reduce noise where possible.
 \item Reduce noise where possible.
-\item Get the locations of each letter and extracting it.
-\item Apply a local binary pattern algorithm on each letter.
-\item Matching the found patterns with found results and return the best match.
-\end{itemize}
+\item Find the locations of each letter and extract it.
+\item Apply a Local Binary Pattern algorithm on each letter.
+\item Match the found patterns with results from the learning set and return the best match for each letter.
+\end{enumerate}
 
 
 \section{Solution}
 \section{Solution}
 
 
 Now that we know the problem we can start with stating our solution. This will
 Now that we know the problem we can start with stating our solution. This will
-come in a few steps aswell.
+come in a few steps as well.
 
 
 \subsection{Localizing the plate}
 \subsection{Localizing the plate}
 
 
 The photos are of very high contrast. Most of the time only the lights of a vehicle
 The photos are of very high contrast. Most of the time only the lights of a vehicle
-are visible in addition to the license plate. We can first crop the image untill
+are visible in addition to the license plate. We can first crop the image until
 it finds brighter pixel values in a row or column. Then we can apply ''?? weet niet hoor'' local histogram
 it finds brighter pixel values in a row or column. Then we can apply ''?? weet niet hoor'' local histogram
 matching to find out whether we have a light or license plate.
 matching to find out whether we have a light or license plate.
 
 
 \subsection{Transformations}
 \subsection{Transformations}
 
 
-Affine transformations will do the trick
+Once the locations of the four corner points of the license plate have been
+found, a simple perspective transformation will be sufficient to transform and
+resize the plate to a normalized format.
 
 
 \subsection{Reducing noise}
 \subsection{Reducing noise}
 
 
 Weet niet precies hoe, maar van die kleine rondjes / vlekjes / stipjes moeten
 Weet niet precies hoe, maar van die kleine rondjes / vlekjes / stipjes moeten
 we wel een beetje weghalen want die maken het wel een beetje lelijk
 we wel een beetje weghalen want die maken het wel een beetje lelijk
 
 
+Taddeus: Ik brainstorm hier een beetje...:
+
+Small amounts of noise will probably be suppressed by usage of a Gaussian
+filter. A real problem occurs in very dirty licence plates, where branches and
+dirt over a letter could radically change the local binary pattern. A question
+we can ask ourselves here, is whether we want to concentrate ourselves on
+these exceptional cases. By law, license plates have to be readable.
+Therefore, we will first direct our attention at getting a higher score in the
+'regular' test set before addressing these cases.
+
 \subsection{Extracting a letter}
 \subsection{Extracting a letter}
 
 
 De karakteristiek bepalen van het dash/streepje (-) dan heb je in elk geval al
 De karakteristiek bepalen van het dash/streepje (-) dan heb je in elk geval al