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

Text localization using image cues and text line information

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)
Toan Nguyen Dinh ; Dept. of Electron. & Comput. Eng., Chonnam Nat. Univ., Gwangju, South Korea ; Jonghyun Park ; Gueesang Lee

Text localization is an important task in text understanding systems. In this paper, an efficient connected component based text localization method is proposed. Two image cues, edge and color, are combined to extract candidate text regions. The non-text regions in these candidate text regions are then removed by the text line information generated from 2D tensor voting. The images in ICDAR 2003 competition dataset are used to evaluate the proposed method. The experimental results show that the proposed method extracts more text regions with a low false positive rate.

Published in:

Image Processing (ICIP), 2010 17th IEEE International Conference on

Date of Conference:

26-29 Sept. 2010

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.