MATLAB Implementation of License Plate Detection Algorithm for Vehicle Recognition Systems

This article explores how to implement license plate detection algorithms for vehicle recognition systems using MATLAB. Vehicle license plate recognition systems remain a significant research focus in computer vision due to their applications in traffic management, security surveillance, and various other domains. The detection algorithm serves as the critical component in the entire recognition system, enabling the identification of license plate locations within images and laying the foundation for subsequent character recognition and information extraction. This paper presents MATLAB-based implementation approaches for license plate detection algorithms, detailing their fundamental principles, implementation processes, and relevant technologies. The implementation typically involves key image processing techniques such as edge detection using Sobel or Canny operators, color space analysis for plate region identification, and morphological operations for noise removal and region enhancement. Through studying this article, readers will gain understanding of fundamental concepts in vehicle license plate recognition systems and acquire practical methods and techniques for implementing license plate detection algorithms using MATLAB's Image Processing Toolbox functions like imread, edge, imfill, and regionprops for feature extraction and bounding box determination.