Number Plate Recognition System Based on an Improved Segmentation Method
Shaimaa H. Mohammad
International Journal of Computational and Electronic Aspects in Engineering
Volume 6: Issue
1, March 2025, pp 42-50
Author's Information
Shaimaa H. Mohammad1
Corresponding Author
1Department of Communications Engineering, University of Sumer College of Engineering, Iraq
shma1910@gmail.com
Israa Z. Chyad Alrikabi2
2Ministry of Education, University of Sumer, Iraq
Hayder Rahm Dakheel Al-Fayyadh3
3Department of Computer Science, College of Computer Science and Information Technology, University of Sumer, Iraq
Abstract:-
Number Plate Recognition (NPR) is a group surveillance system that captures vehicle photos and differentiates license numbers. NPR can help in the discovery of stolen cars. On highways, NPR systems can efficiently detect stolen vehicles. This study primarily introduces a novel and active method for detecting and recognizing license number plates, as well as obtaining photos of automobiles from a reliable source. The license plate number recognition system is divided into two stages: the first is license number plate localization, which uses localization algorithms to reveal the license number from the entire image; the second is the recognition phase, which analyzes the vehicle number plate obtained and then uses the template matching style. Finally, to assess the effectiveness of the proposed technique, a set of 300 composite photos with vehicle plates from various countries are used to test localization accuracy. The localization of license plates was completed with 99.7% accuracy and a processing time of 0.21 seconds.Index Terms:-
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