A novel license plate character segmentation method for different types of vehicle license plates.

Sarker, Md. Mostafa Kamal; Song, Moon Kyou

doi:10.1109/ictc.2014.6983089

A novel license plate character segmentation method for different types of vehicle license plates.

Sarker, Md. Mostafa Kamal; Song, Moon Kyou

Authors

Md. Mostafa Kamal Sarker

Moon Kyou Song

Abstract

License plate character segmentation (LPCS) is a very important part of vehicle license plate recognition (LPR) system. The accuracy of LPR system widely depends on two parts; namely license plate detection (LPD) and LPCS. Different country has different types and shapes of LPs are available. Based on character position on LP, we can find two types of LPs over the world, single row (SR) and double rows (DR) LP. Most of the LPCS methods are generally used for SRLP. This paper proposed a novel LPCS method for SR and DR types of LPs. Experimental results shows the real-time effectiveness of our proposed method. The accuracy of our proposed LPCS method is 99.05% and the average computational time is 27ms which is higher than other existing methods.

Citation

SARKER, M.M.K. and SONG, M.K. 2014. A novel license plate character segmentation method for different types of vehicle license plates. In Proceedings of 2014 International conference on Information and communication technology convergence (ICTC 2014): ICT convergence towards hyper-connected society, 22-24 October 2014, Busan, South Korea. Piscataway: IEEE [online], pages 84-88. Available from: https://doi.org/10.1109/ictc.2014.6983089

Conference Name	2014 International conference on Information and communication technology convergence (ICTC 2014): ICT convergence towards hyper-connected society
Conference Location	Busan, South Korea
Start Date	Oct 22, 2014
End Date	Oct 24, 2014
Acceptance Date	Sep 3, 2014
Online Publication Date	Oct 24, 2014
Publication Date	Dec 15, 2014
Deposit Date	Dec 4, 2021
Publicly Available Date	Aug 25, 2022
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	84-88
ISBN	9781479967865
DOI	https://doi.org/10.1109/ictc.2014.6983089
Keywords	Traffic surveillance; Image processing; License plate verification; Character segmentation; Region of interest
Public URL	https://rgu-repository.worktribe.com/output/1542189

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