By Topic

Motorcycle and License Plate Detection Using Fixed-Size Vertical Projection and Multi-Part Mean Analysis

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

2 Author(s)
Phatanasrirat, W. ; Dept. of Comput. Eng., Chulalongkorn Univ., Bangkok ; Phiphobmongkol, S.

This paper proposed methods for motorcycle and license plate detection using fixed-size vertical projection and multi-part mean analysis. The method consisted of two parts: a motorcycle detection and a license plate detection. Fixed-size vertical projection and neural network were used in the motorcycle detection process. Vertical and horizontal scanning was used to extract features for the neural network. Later, a rough filter and a thorough filter were used to approximately locate and finally confirm a license plate, respectively. These methods were tested on both motorcycles with license plates and motorcycles without license plates. The experimental results gave accuracy of 93.20% for motorcycle detection, 93.33% for motorcycles with license plates, and 87.23% for motorcycles without license plates.

Published in:

Computer Engineering and Technology, 2009. ICCET '09. International Conference on  (Volume:2 )

Date of Conference:

22-24 Jan. 2009