A method to Automatic license plate detectionby using fuzzy logic classifier

Automatic Number Plate Recognition is a mass surveillance system that captures the image of vehicles and recognizes their licence number. ANPR can be used in many applications, such as electronic payment systems (toll payment, parking fee payment), freeway, arterial monitoring systems for traffic surveillance and detection of stolen vehicles. In previous studies, there are so many methodologies were proposed to resolve the following challenges (location quantity, size, colour, font, occlusion, inclination etc) in extracting information from the captured image but every algorithm has their own draw back between accuracy of detection and processing speed. In the proposed multistyle detection method uses the fuzzy logic classifiers which help toidentify the plate and characters with better accuracy and processing speed

کلیدواژه ها:

Plate detection ، Character extraction and recognition ، Adaptation threshold ، Neural Networks ، Filtering ، Multiresolution