License Plate Extraction and Recognition of a Thai Vehicle Based on MSER and BPNN

This research aims to present and discuss the vehicle license plate recognition of a Thai vehicle license pla te based on MSER (Maximally Stable Extremal Region) and BPNN (Back Propagation Neural Network). License plate recognition technology is the core technology of intelligent transportation systems. With the development of computer vision and digital image pro cessing capabilities, license plate recognition has been widely used now. The license plate area is in a maximally stable extremal region of a car image. It can be effectively extracted from MSERs by multiple classifications. The feature extraction of char acters from the license plate is based on Zernike moment. The feature is used as a training dataset for the BPNN to recognize the characters. The experimental results indicate that the proposed approach is an effective method for the extraction and recogni tion of a Thai license plate.