Smart License Plate Recognition System Based on Image Processing using Neural Network
Abstract
We describe the smart vehicle screening system, which can be installed into a tollbooth for automated recognition of vehicle license plate information using a photograph of a vehicle. An automated system could then be implemented to control the payment of fees, parking areas, highways, bridges or tunnels, etc. There are considered an approach to identify vehicle through recognizing of it license plate using image fusion, neural networks and threshold techniques as well as some experimental results to recognize the license plate successfully.
Recommended Citation
V. Koval et al., "Smart License Plate Recognition System Based on Image Processing using Neural Network," Proceedings of the 2nd IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (2003, Lviv, Ukraine), pp. 123 - 127, Institute of Electrical and Electronics Engineers (IEEE), Sep 2003.
The definitive version is available at https://doi.org/10.1109/IDAACS.2003.1249531
Meeting Name
2nd IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2003 (2003: Sep. 8-10, Lviv, Ukraine)
Department(s)
Computer Science
Keywords and Phrases
Advanced vehicle control systems; Automation; Bridges; Computer networks; Control; Control systems; Data acquisition; Highway bridges; Image fusion; Image processing; Image recognition; Intelligent vehicle highway systems; Neural networks; Optical character recognition; Vehicles; Automated recognition; Automated systems; License plate recognition systems; Licenses; Screening system; Smart vehicles; Threshold techniques; Vehicle license plates; License plates (automobile); Automated highways; Automatic control; Intelligent vehicles
International Standard Book Number (ISBN)
978-0780381384
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2003 Institute of Electrical and Electronics Engineers Inc., All rights reserved.
Publication Date
01 Sep 2003