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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM46828
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
â With rising industrialization, the demand for vehicles has risen proportionally, which has introduced various challenges in vehicle management and traffic control. An efficient system for vehicle monitoring and safety has become essential to resolve these issues. Hence, an automated license plate detection system using OCR plays a vital role in improving security and accurate vehicle identification. The proposed system utilizes advanced image processing techniques to detect vehicle license plates and extract plate information efficiently. This system ensures fast and accurate identification, capturing vehicle details as they enter a monitored area. With the growing demand for smart and automated solutions, the implementation of such technology can significantly enhance traffic management, security enforcement, and transportation efficiency. In this paper, we focus on various aspects of image processing implemented in our system to simplify processing. This system efficiently detects vehicle license plates and extracts the plate information. The system is based on MATLAB software to improve detection accuracy. Our proposed system covers applications related to security and law enforcement. It is particularly useful at places where vehicle monitoring is essential. By using cameras and software, the system ensures accurate vehicle detection and enhances security.
KEYWORDS
Publication Date
5/3/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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