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

Graph Clustering-Based Ensemble Method for Handwritten Text Line Segmentation

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

5 Author(s)
Manohar, V. ; Speech, Language, & Multimedia Bus. Unit, Raytheon BBN Technol., Cambridge, MA, USA ; Vitaladevuni, S.N. ; Huaigu Cao ; Prasad, R.
more authors

Handwritten text line segmentation on real-world data presents significant challenges that cannot be overcome by any single technique. Given the diversity of approaches and the recent advances in ensemble-based combination for pattern recognition problems, it is possible to improve the segmentation performance by combining the outputs from different line finding methods. In this paper, we propose a novel graph clustering-based approach to combine the output of an ensemble of text line segmentation algorithms. A weighted undirected graph is constructed with nodes corresponding to connected components and edge connecting pairs of connected components. Text line segmentation is then posed as the problem of minimum cost partitioning of the nodes in the graph such that each cluster corresponds to a unique line in the document image. Experimental results on a challenging Arabic field dataset using the ensemble method shows a relative gain of 18% in the F1 score over the best individual method within the ensemble.

Published in:

Document Analysis and Recognition (ICDAR), 2011 International Conference on

Date of Conference:

18-21 Sept. 2011

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.