By Topic

A Fast License Plate Segmentation and Recognition Method Based on the Modified Template Matching

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
$31 $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

4 Author(s)
Jin Quan ; Dept. of Electr. & Comput. Eng., Univ. of Cincinnati, Cincinnati, OH, USA ; Quan Shuhai ; Shi Ying ; Xue Zhihua

Character segmentation is an important step in a LPR system, this paper presents a new method for character segmentation and recognition, correcting the image of license plate which uses the improved method of Hough transform, then employs the normalization method to segment the characters of the license plate and finally utilizes a modified template matching method to recognize the characters of the license plate. The result of the experiment shows that the method presented in the paper is easy and feasible, faster in recognizable speed, performs well in segmentation, and is valuable in practical application.

Published in:

Image and Signal Processing, 2009. CISP '09. 2nd International Congress on

Date of Conference:

17-19 Oct. 2009