License Plate Recognition Using Wavelet Transform and Cluster-k-Nearest Neighbor Classifier

This project proposes an implementation of License Plate Recognition in improving the current system of control access for Universiti Teknologi PETRONAS (UTP). The Plate Recognition methods utilized in this project are Wavelet Feature Extraction and Cluster-k-Nearest Neighbours Classifier. All the programs are carried out in MATLAB. Generally, the project is carried out by creating image database and the database of vehicles and owners information.