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Vehicle plate number localization using a modified GrabCut algorithm.
- Source :
- Journal of King Saud University - Computer & Information Sciences; May2021, Vol. 33 Issue 4, p399-407, 9p
- Publication Year :
- 2021
-
Abstract
- Vehicle plate number recognition plays an important role in traffic control and surveillance systems. A key stage in any vehicle plate number recognition system is to first locate the vehicle plate number. In this paper, we present a modified GrabCut algorithm for localizing vehicle plate numbers. In contrast with the traditional interactive GrabCut technique, a modified GrabCut algorithm was designed to identify and extract vehicle plate numbers in a completely automatic manner. Our approach extends the use of the traditional GrabCut algorithm with addition of a feature extraction method which uses geometric information to give accurate foreground extraction. Finally, to evaluate the performance of the proposed technique, the localization accuracy is tested with a dataset of 500 vehicle images with vehicle plates from different countries. An accuracy of 99.8% was achieved for the localization of vehicle plates. Comparative analysis is also reported. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13191578
- Volume :
- 33
- Issue :
- 4
- Database :
- Supplemental Index
- Journal :
- Journal of King Saud University - Computer & Information Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 150641060
- Full Text :
- https://doi.org/10.1016/j.jksuci.2019.01.011