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: | , , , |
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| Format: | Conference or Workshop Item |
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IEEE (IEEE Xplore)
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/41301/ |
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| _version_ | 1832520900405100544 |
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| author | Abdul Halin, Alfian Mohd. Sharef, Nurfadhlina Jantan, Azrul Hazri Abdullah, Lili Nurliyana |
| author_facet | Abdul Halin, Alfian Mohd. Sharef, Nurfadhlina Jantan, Azrul Hazri Abdullah, Lili Nurliyana |
| author_sort | Abdul Halin, Alfian |
| building | UPM Library |
| collection | Institutional Repository |
| content_provider | Universiti Putra Malaysia |
| content_source | UPM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.upm.eprints-41301 |
| institution | Universiti Putra Malaysia |
| publishDate | 2013 |
| publisher | IEEE (IEEE Xplore) |
| record_format | eprints |
| 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 |
| spellingShingle | Abdul Halin, Alfian Mohd. Sharef, Nurfadhlina Jantan, Azrul Hazri Abdullah, Lili Nurliyana License plate localization using a Naive Bayes classifier |
| title | 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_short | License plate localization using a Naive Bayes classifier |
| title_sort | license plate localization using a naive bayes classifier |
| url | http://psasir.upm.edu.my/id/eprint/41301/ |
| url_provider | http://psasir.upm.edu.my/ |