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taddeus/licenseplates
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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
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License plate recognition software, developed for UvA's Image Processing project.
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