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License plate localization using a Naive Bayes classifier


Citation

Abdul Halin, Alfian and Mohd. Sharef, Nurfadhlina and Jantan, Azrul Hazri and Abdullah, Lili Nurliyana (2013) License plate localization using a Naive Bayes classifier. In: 2013 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 8-10 Oct. 2013, Melaka, Malaysia. (pp. 20-24).

Abstract / Synopsis

This paper presents a probabilistic technique to localize license plates regions for cars adhering to the standard set by the Malaysian Road Transport Department. Images of the front/rear-view of cars displaying their license plates are firstly preprocessed, followed by features extraction generated from connected components analysis. These features are then used to train a Naïve Bayes classifier for the final task of license plates localization. Experimental results conducted on 144 images have shown that considering two candidates with the highest posterior probabilities better guarantees license plates regions are properly localized, with a recall of 0.98.


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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Computer Science and Information Technology
DOI Number: 10.1109/ICSIPA.2013.6707971
Publisher: IEEE (IEEE Xplore)
Keywords: Bayes methods; Character recognition; Feature extraction; Image classification; Traffic engineering computing
Depositing User: Nursyafinaz Mohd Noh
Date Deposited: 03 Nov 2015 11:12
Last Modified: 03 Nov 2015 11:12
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ICSIPA.2013.6707971
URI: http://psasir.upm.edu.my/id/eprint/41301
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