Authors : Sanjay Dhekwar; Deepesh Dewangan; Reena Sahu

Volume/Issue : Volume 10 - 2025, Issue 5 - May

Google Scholar : https://tinyurl.com/5djvp4ph

DOI : https://doi.org/10.38124/ijisrt/25may2245

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : License Number Plate Recognition (LNPR) is a computer vision-based technique designed to automatically identify vehicle registration numbers from images or video frames. This technology is increasingly used in traffic monitoring, toll collection, and law enforcement for enhancing road safety and operational efficiency. The primary objective of this research is to develop an LNPR system capable of recognizing license plates in real time using image processing and Optical Character Recognition (OCR). The proposed system involves several stages, including image acquisition through a real-time camera, license plate localization, character segmentation, and text recognition. Techniques such as grayscale conversion, noise reduction, edge detection, and contour analysis are utilized to enhance the accuracy of detection. OCR is then applied to extract alphanumeric characters from the identified license plate region. The system is tested under different lighting and environmental conditions to evaluate its robustness. Results indicate that the system achieves a high level of accuracy in controlled scenarios, demonstrating its potential for integration into smart traffic systems and automated vehicle monitoring solutions.

Keywords : License Plate Recognition (LPR), Number Plate Detection, Optical Character Recognition (OCR), Image Processing, Vehicle Identification, Intelligent Transportation Systems, Real-Time Surveillance, Computer Vision, Pattern Recognition, Traffic Monitoring.

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