Segmentation and recognition of Korean vehicle license plate characters based on the global threshold method and the cross-correlation matching algorithm.

Sarker, Md. Mostafa Kamal; Song, Moon Kyou

Abstract

The vehicle license plate recognition (VLPR) system analyzes and monitors the speed of vehicles, theft of vehicles, the violation of traffic rules, illegal parking, etc., on the motorway. The VLPR consists of three major parts: license plate detection (LPD), license plate character segmentation (LPCS), and license plate character recognition (LPCR). This paper presents an efficient method for the LPCS and LPCR of Korean vehicle license plates (LPs). LP tilt adjustment is a very important process in LPCS. Radon transformation is used to correct the tilt adjustment of LP. The global threshold segmentation method is used for segmented LP characters from two different types of Korean LPs, which are a single row LP (SRLP) and double row LP (DRLP). The cross-correlation matching method is used for LPCR. Our experimental results show that the proposed methods for LPCS and LPCR can be easily implemented, and they achieved 99.35% and 99.85% segmentation and recognition accuracy rates, respectively for Korean LPs.

Citation

SARKER, M.M.K. and SONG, M.K. 2016. Segmentation and recognition of Korean vehicle license plate characters based on the global threshold method and the cross-correlation matching algorithm. Journal of information processing systems [online], 12(4), pages 661-680. Available from: https://doi.org/10.3745/JIPS.02.0050

• Journal Article Type: Article
• Acceptance Date: Sep 30, 2015
• Online Publication Date: Dec 31, 2016
• Publication Date: Dec 31, 2016
• Deposit Date: Dec 4, 2021
• Publicly Available Date: Mar 17, 2022
• Journal: Journal of Information Processing Systems
• Print ISSN: 1976-913X
• Electronic ISSN: 2092-805X
• Publisher: Korea Information Processing Society
• Peer Reviewed: Peer Reviewed
• Volume: 12
• Issue: 4
• Pages: 661-680
• DOI: https://doi.org/10.3745/JIPS.02.0050
• Keywords: Cross-correlation; Global threshold; License plate recognition; Radon transformation; Traffic surveillance
• Public URL: https://rgu-repository.worktribe.com/output/1542180