A Practical License Plate Recognition System for Real-Time Environments

Author

Cemil Oz, Missouri University of Science and TechnologyFollow
Fikret Erçal, Missouri University of Science and TechnologyFollow

Abstract

A computer vision system to recognize license plates of vehicles in real-time environments is presented in this study. The images of moving vehicles are taken with a digital camera and analyzed in real-time. An artificial neural network (ANN) system is used to locate the area and position of the license plate. The system has the following stages: (i) Image acquisition and determination of the location of the vehicle license plate (VLP), (ii) segmentation of the VLP into separate characters using image processing techniques, and (iii) recognition of each symbol in VLP using a feedforward artificial neural network (ANN) and assembly of the characters. Performance results are presented at the end.

Recommended Citation

C. Oz and F. Erçal, "A Practical License Plate Recognition System for Real-Time Environments," Lecture Notes in Computer Science, Springer Verlag, Jan 2005.

The definitive version is available at https://doi.org/10.1007/11494669_108

Department(s)

Mechanical and Aerospace Engineering

Second Department

Computer Science

Keywords and Phrases

Computer Vision System; Plates; Digital cameras; Vehicles

Document Type

Book - Chapter

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2005 Springer Verlag, All rights reserved.

Publication Date

01 Jan 2005