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

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

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