License plate recognition software, developed for UvA's Image Processing project
Taddeus Kroes
b3b2f8d30a
Reversed gaussian blur and image resizing for better results.
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14 gadi atpakaļ | |
|---|---|---|
| docs | 14 gadi atpakaļ | |
| images | 14 gadi atpakaļ | |
| src | 14 gadi atpakaļ | |
| .gitignore | 14 gadi atpakaļ | |
| README | 14 gadi atpakaļ |
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
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