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Second International Conference on Document Image Analysis for Libraries (DIAL'06)
Detection and Segmentation of Table of Contents and Index Pages from Document Images
Lyon, France
April 27-April 28
ISBN: 0-7695-2531-8
ASCII Text
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S. Mandal, S. P. Chowdhury, A. K. Das, Bhabatosh Chanda, "Detection and Segmentation of Table of Contents and Index Pages from Document Images," Document Image Analysis for Libraries, International Workshop on, pp. 70-81, Second International Conference on Document Image Analysis for Libraries (DIAL'06), 2006.
 
 
BibTex
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@article{ 10.1109/DIAL.2006.13,
author = {S. Mandal and S. P. Chowdhury and A. K. Das and Bhabatosh Chanda},
title = {Detection and Segmentation of Table of Contents and Index Pages from Document Images},
journal ={Document Image Analysis for Libraries, International Workshop on},
volume = {0},
year = {2006},
isbn = {0-7695-2531-8},
pages = {70-81},
doi = {http://doi.ieeecomputersociety.org/10.1109/DIAL.2006.13},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Document Image Analysis for Libraries, International Workshop on
TI - Detection and Segmentation of Table of Contents and Index Pages from Document Images
SN - 0-7695-2531-8
SP70
EP81
A1 - S. Mandal,
A1 - S. P. Chowdhury,
A1 - A. K. Das,
A1 - Bhabatosh Chanda,
PY - 2006
KW - null
VL - 0
JA - Document Image Analysis for Libraries, International Workshop on
ER -
 
S. Mandal, CST Dept., B. E. & Science University, India
S. P. Chowdhury, CST Dept., B. E. & Science University, India
A. K. Das, CST Dept., B. E. & Science University, India
Bhabatosh Chanda, ECS Unit, Indian Statistical Unit Calcutta, India
Identification and segmentation of the table of contents (TOC) and index pages for the development a of digital library is an obvious task. A digital document library is created to provide a non-labour intensive, cheap and flexible way of storage, representation and management of paper documents in electronic form to facilitate indexing, viewing, printing and extracting the intended portions. Using document image analysis techniques information from the TOC and index pages may be extracted to use in a document database for effective retrieval of the required pieces of information. In this paper, we present fully auotmatic identification and segmentation of TOC and index pages from scanned documents.
Citation:
S. Mandal, S. P. Chowdhury, A. K. Das, Bhabatosh Chanda, "Detection and Segmentation of Table of Contents and Index Pages from Document Images," dial, pp.70-81, Second International Conference on Document Image Analysis for Libraries (DIAL'06), 2006
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