A Novel Methodology for Vehicle Number Plate Recognition using Artificial Neural Network

Abstract

Number plate recognition system is used for vehicle management, security, congestion control, access control and in the vehicle behavior monitoring system. This paper presents a real time number plate recognition system which is able to recognize the vehicle number plate in different illumination conditions, independent of orientation and scale of the plate. This research work begins by pre-processing, detecting plate region, segmentation, feature extraction and finally recognition of the character by using neural network. This system has been tested with other paper's data set that has different images with different illumination conditions and this system can recognize the number plates under different illumination conditions with a success rate of about 95%.