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

Jayke Meijer 368157b862 Added description on fautly classifications. il y a 14 ans
docs 368157b862 Added description on fautly classifications. il y a 14 ans
images b063255e0a woops the image was not needed so deleted it again il y a 14 ans
src 51d98fd3b7 Debugged performance test script. il y a 14 ans
.gitignore f2cbff113d removed *.dvi il y a 14 ans
README 452edfdb24 Added owner of license plate files to readme. il y a 14 ans
todo.txt 239b4ab81f Fixed typo in todo. il y a 14 ans

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