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

Sarker, Md. Mostafa Kamal; Song, Moon Kyou

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

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2014 International conference on Information and communication technology convergence (ICTC 2014): ICT convergence towards hyper-connected society
• 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)
• Peer Reviewed: Peer Reviewed
• 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