Complete MATLAB Implementation for License Plate Recognition System

Resource Overview

Full source code for license plate recognition using MATLAB, featuring plate localization, image binarization, noise filtering, character segmentation, and BP neural network-based character recognition with detailed implementation algorithms

Detailed Documentation

This comprehensive license plate recognition source code is implemented entirely in MATLAB. The codebase includes crucial processing stages such as license plate localization using edge detection and morphological operations, image binarization with adaptive thresholding techniques, noise filtering through median and Gaussian filters, precise character segmentation employing projection methods and connected component analysis. For the recognition phase, the system utilizes a Backpropagation (BP) Neural Network trained on character datasets, achieving high accuracy and stability in final identification. This implementation provides a complete workflow for automated license plate recognition with well-documented algorithmic approaches and modular function design.