Abstract: Recognizing number plate, using image processing techniques, is indicating new ways of capturing traffic data. Recent advances in computer vision technology and the falling prices of the related devices encourage the use of video/ closed circuit television cameras by making it practical to automatically identify vehicles visually on-line or off-line. Automatic vehicle identification system could be achieved using automated number-plate reading with high accuracy and low processing time. The objective of this project is to explore the potential of using the neural network for numberplate reading. Image processing techniques are used to extract the location of each included character, and the neural network is applied to the character recognition process.
Title: TOLL PLAZA AUTOMATION
Author: Keerthi.R, Dhivya.M, Divya.K, Mausami Gowsami
International Journal of Computer Science and Information Technology Research
ISSN 2348-120X (online), ISSN 2348-1196 (print)
Research Publish Journals
