Vision system for licence plate recognition based on neural networks

The paper presents an important example of using artificial neural networks in computer vision. Vehicle Number Plate Recognition is a special form of optical character recognition (OCR). Vehicle number plate recognition is a type of technology, mainly software, which enables computer systems to read automatically the registration number of vehicles from digital pictures. We proposed developed methods based on multilayer feed-forward back-propagation algorithm using one hidden layer that is able to recognize numbers and letters in a plate. We also proposed method that is able to find some area with a number plate, which is cut out from the input image and forwarded to neural network application. The performance of the proposed system has been tested on real images.