Design of License Plate Recognition System with MATLAB Implementation

This article explores the design methodology for a MATLAB-based license plate recognition system. The system architecture comprises several key components: image acquisition, preprocessing, license plate detection, character recognition, and post-processing. We provide detailed implementation insights for each module, including algorithmic approaches such as edge detection for plate localization and optical character recognition (OCR) techniques for character segmentation. The accompanying source code demonstrates practical implementations using MATLAB's Image Processing Toolbox functions like imbinarize for thresholding and regionprops for feature extraction. Design documentation includes flowcharts illustrating the image processing pipeline and performance metrics evaluation. Additionally, we discuss real-world applications of license plate recognition systems and integration methodologies for combining this system with other platforms to enable broader application scenarios such as automated parking management and traffic monitoring solutions.