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

Jayke Meijer b695b68048 Some small changes on report. пре 14 година
docs b695b68048 Some small changes on report. пре 14 година
images d282d498ec Removed useless image files. пре 14 година
src a6f929bcfd Removed header form GaussianFilter. пре 14 година
.gitignore 5690b9e039 Added script that runs a given classifier and savesthe faulty classified images. пре 14 година
README 452edfdb24 Added owner of license plate files to readme. пре 14 година
todo.txt 239b4ab81f Fixed typo in todo. пре 14 година

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