Share Email Print

Proceedings Paper

Robust line segmentation for handwritten documents
Author(s): Kamal Kuzhinjedathu; Harish Srinivasan; Sargur Srihari
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Line segmentation is the first and the most critical pre-processing step for a document recognition/analysis task. Complex handwritten documents with lines running into each other impose a great challenge for the line segmentation problem due to the absence of online stroke information. This paper describes a method to disentangle lines running into each other, by splitting and associating the correct character strokes to the appropriate lines. The proposed method can be used along with the existing algorithm1 that identifies such overlapping lines in documents. A stroke tracing method is used to intelligently segment the overlapping components. The method uses slope and curvature information of the stroke to disambiguate the course of the stroke at cross points. Once the overlapping components are segmented into strokes, a statistical method is used to associate the strokes with appropriate lines.

Paper Details

Date Published: 28 January 2008
PDF: 9 pages
Proc. SPIE 6815, Document Recognition and Retrieval XV, 68150C (28 January 2008); doi: 10.1117/12.766701
Show Author Affiliations
Kamal Kuzhinjedathu, Univ. at Buffalo (United States)
Harish Srinivasan, Univ. at Buffalo (United States)
Sargur Srihari, Univ. at Buffalo (United States)

Published in SPIE Proceedings Vol. 6815:
Document Recognition and Retrieval XV
Berrin A. Yanikoglu; Kathrin Berkner, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?