License plate recognition software, developed for UvA's Image Processing project

Taddeus Kroes fc356e10ff Finishing touch to presentation. %!s(int64=14) %!d(string=hai) anos
docs fc356e10ff Finishing touch to presentation. %!s(int64=14) %!d(string=hai) anos
images b063255e0a woops the image was not needed so deleted it again %!s(int64=14) %!d(string=hai) anos
src b3b2f8d30a Reversed gaussian blur and image resizing for better results. %!s(int64=14) %!d(string=hai) anos
.gitignore f2cbff113d removed *.dvi %!s(int64=14) %!d(string=hai) anos
README 452edfdb24 Added owner of license plate files to readme. %!s(int64=14) %!d(string=hai) anos

README

Summary of project:
This code is an implementation of a classifier for License Plate
Recognition, using Local Binary Patterns as features for a Support Vector
Machine.

A number of scripts are provided to execute tests with this code, and to
see how well the code performs, both when considering accuracy and speed.
There is also a script that automises the search for proper parameters for
the SVM.

In the docs folder, a report can be found with a more extensive description
of the theory, the implementation and the results.

The images folder contains a sorted dataset of characters, cut out from
real life images of license plates, provided by Parkingware Schiphol.

Authors:
Taddeüs Kroes
Jayke Meijer
Fabiën Tesselaar
Richard Torenvliet
Gijs van der Voort.

Date:
December 2011

Dependencies:
matplotlib
numpy
scipy
python-libsvm