MATLAB License Plate Recognition Source Code

Resource Overview

This MATLAB program implements license plate recognition using neural networks for processing 6 segmented images of size 16×8. The implementation includes image preprocessing and neural network classification, though sample datasets are not provided due to their large size - users need to extract their own training samples.

Detailed Documentation

This project provides MATLAB source code for license plate recognition system. The program is designed to process 6 segmented license plate images with dimensions of 16×8 pixels each. The core implementation utilizes neural network algorithms for character recognition and classification. Key components include image normalization, feature extraction, and neural network training modules. Due to the substantial volume of training samples required, the dataset is not included in this release. However, users can extract their own sample data from license plate images to train and test the neural network model. The code structure follows modular design principles, separating image preprocessing, neural network initialization, and recognition phases for maintainability.