By Topic

Vehicle license plate character recognition

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Lu Xiaobo ; Res. Center of Intelligent Transp. Syst., Southeast Univ., Nanjing, China ; Ling Xiaojing ; Huang Wei

In this paper a system for the recognition of Chinese vehicle license plates is present. Images acquired under real conditions are often anamorphic. A method is designed to adjust the anamorphic vehicle license plates. Images are also influenced by weather and rays, which often make gray scale inhomogeneous. A preprocessing operation is used to solve this problem. Using pattern matching for character recognition, we can avoid isolating the characters and enhance the correctness of character extracting. To the question that few characters are easy to be confused, we construct BP neural networks to complete effective character recognition.

Published in:

Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on  (Volume:2 )

Date of Conference:

14-17 Dec. 2003