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License plate localization using a Naive Bayes classifier

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...

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Main Authors: Abdul Halin, Alfian, Mohd. Sharef, Nurfadhlina, Jantan, Azrul Hazri, Abdullah, Lili Nurliyana
Format: Conference or Workshop Item
Published: IEEE (IEEE Xplore) 2013
Online Access:http://psasir.upm.edu.my/id/eprint/41301/
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spelling my.upm.eprints.413012015-11-03T03:12:50Z http://psasir.upm.edu.my/id/eprint/41301/ License plate localization using a Naive Bayes classifier Abdul Halin, Alfian Mohd. Sharef, Nurfadhlina Jantan, Azrul Hazri Abdullah, Lili Nurliyana 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. IEEE (IEEE Xplore) 2013 Conference or Workshop Item NonPeerReviewed 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). 10.1109/ICSIPA.2013.6707971
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description 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.
format Conference or Workshop Item
author Abdul Halin, Alfian
Mohd. Sharef, Nurfadhlina
Jantan, Azrul Hazri
Abdullah, Lili Nurliyana
spellingShingle Abdul Halin, Alfian
Mohd. Sharef, Nurfadhlina
Jantan, Azrul Hazri
Abdullah, Lili Nurliyana
License plate localization using a Naive Bayes classifier
author_facet Abdul Halin, Alfian
Mohd. Sharef, Nurfadhlina
Jantan, Azrul Hazri
Abdullah, Lili Nurliyana
author_sort Abdul Halin, Alfian
title License plate localization using a Naive Bayes classifier
title_short License plate localization using a Naive Bayes classifier
title_full License plate localization using a Naive Bayes classifier
title_fullStr License plate localization using a Naive Bayes classifier
title_full_unstemmed License plate localization using a Naive Bayes classifier
title_sort license plate localization using a naive bayes classifier
publisher IEEE (IEEE Xplore)
publishDate 2013
url http://psasir.upm.edu.my/id/eprint/41301/
_version_ 1643832958615814144
score 13.252575

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