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

Taddeus Kroes b5f8ca8af2 Updated results section in report. 14 лет назад
docs b5f8ca8af2 Updated results section in report. 14 лет назад
images b063255e0a woops the image was not needed so deleted it again 14 лет назад
src 26c8385b29 .. xml helper functies WEER terug 14 лет назад
.gitignore f2cbff113d removed *.dvi 14 лет назад
README 452edfdb24 Added owner of license plate files to readme. 14 лет назад
todo.txt 239b4ab81f Fixed typo in todo. 14 лет назад

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