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

2-Level-Wavelet-Based License Plate Edge Detection

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)
Ming-Kan Wu ; Dept. of Electr. Eng., Nat. Yunlin Univ. of Sci. & Technol., Douliou, Taiwan ; Jing-Siang Wei ; Hao-Chung Shih ; Ho, C.C.

Against well-known vertical Sobel operator adopted by most license plate detection (LPD) algorithms, this paper presents a robust and real-time method to enhance both edge density and intensity of license plates under various outdoor environments. The proposed method applies HL subband feature of 2D discrete wavelet transform (DWT) twice to significantly highlight the vertical edges of license plates and suppress the surrounding background noise. Then, license plates can easily be extracted and located by the orthogonal projection histogram analysis with local recursive Otsu segmentation and morphological closing operator. Experimental results show LPD system based on the proposed 2-level 2D Haar DWT is better than that based on conventional vertical Sobel operator or 1-level 2D Haar DWT in terms of the detection rate.

Published in:

Information Assurance and Security, 2009. IAS '09. Fifth International Conference on  (Volume:2 )

Date of Conference:

18-20 Aug. 2009

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.