Real Time Anpr for Vehicle Identification Using Neural Network

This paper deals with problematic from field of artificial intelligence, machine vision and neural networks in construction of an automatic number plate recognition system (ANPR). This paper includes brief introduction of automatic number plate recognition, which ensure a process of number plate detection, processes of proper characters segmentation, normalization and recognition. Automatic Number Plate Recognition (ANPR) is a real time embedded system which automatically recognizes the license number of vehicles. In this paper, the task of recognizing number plate is considered. First the image of number plate is captured by camera. Number plate is segmented by using horizontal and vertical projection. After that feature extraction techniques are used to extract the characters from segmented data. Neural Network algorithms are used to recognize the characters which improve the color and brightness. ANPR project is very much useful in applications like, automated traffic surveillance and tracking system, automated high-way/parking toll collection systems, automation of petrol stations, travelling time monitoring.. In this paper, introduction of number plate segmentation, feature extraction, recognition of character based on Neural Network and syntax checking analysis of recognized characters is described.