Cart (Loading....) | Create Account
Close category search window

Identification of Degraded Traffic Sign Symbols Using Multi-class Support Vector Machines

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

3 Author(s)
Lunbo Li ; Harbin Inst. of Technol., Harbin ; Guangfu Ma ; Shuyan Ding

We present a novel classification method for recognizing traffic sign symbols undergoing image degradations. In order to cope with the degradations, it is desirable to use combined blur-affine invariants (CBAIs) of traffic sign symbols as the feature vectors. Combined invariants allow to recognize objects in the degraded scene without any restoration. In this research, multi-class support vector machines (M-SVMs) is applied to traffic sign classification and compared with backpropagation (BP) algorithm, which has been commonly used in neural network. Experimental results indicate that M-SVMs algorithm is superior to BP algorithm both on the classification accuracy and generalization performance of the classifier.

Published in:

Mechatronics and Automation, 2007. ICMA 2007. International Conference on

Date of Conference:

5-8 Aug. 2007

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.