Complete MATLAB Algorithm Suite for License Plate Recognition

This article presents a complete MATLAB algorithm suite for license plate recognition with three accompanying research references. License plate recognition represents a critical technology that enables automated traffic management and surveillance systems. The implemented algorithm accurately identifies characters and numerals on vehicle license plates and matches them against database records through sophisticated pattern matching techniques. The algorithm leverages deep learning architectures and advanced image processing methods to achieve high accuracy and stability in various environmental conditions. Key implementation components include: - Preprocessing modules for image enhancement and noise reduction - License plate localization using edge detection and morphological operations - Character segmentation through connected component analysis - Optical character recognition (OCR) using convolutional neural networks The article provides detailed explanations of the algorithmic principles and implementation workflow, including MATLAB-specific function usage such as image processing toolbox functions and neural network training procedures. Three relevant research papers are included for readers seeking deeper understanding and further development of license plate recognition systems.