Automated Detection and Segmentation of Table of Contents Page from Document Images

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Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1

Edinburgh, Scotland

August 03-August 06

ISBN: 0-7695-1960-1

	ASCII Text	x
	S. Mandal, S. P. Chowdhury, A. K. Das, Bhabatosh Chanda, "Automated Detection and Segmentation of Table of Contents Page from Document Images," Document Analysis and Recognition, International Conference on, vol. 1, pp. 398, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1, 2003.

	BibTex	x
	@article{ 10.1109/ICDAR.2003.1227697, author = {S. Mandal and S. P. Chowdhury and A. K. Das and Bhabatosh Chanda}, title = {Automated Detection and Segmentation of Table of Contents Page from Document Images}, journal ={Document Analysis and Recognition, International Conference on}, volume = {1}, year = {2003}, isbn = {0-7695-1960-1}, pages = {398}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227697}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Document Analysis and Recognition, International Conference on TI - Automated Detection and Segmentation of Table of Contents Page from Document Images SN - 0-7695-1960-1 SP EP A1 - S. Mandal, A1 - S. P. Chowdhury, A1 - A. K. Das, A1 - Bhabatosh Chanda, PY - 2003 KW - Document image segmentation KW - Table of contents detection KW - Digital document library VL - 1 JA - Document Analysis and Recognition, International Conference on ER -

S. Mandal, CST Department B. E. College (D.U.)

S. P. Chowdhury, CST Department B. E. College (D.U.)

A. K. Das, CST Department B. E. College (D.U.)

Bhabatosh Chanda, Indian Statistical Unit

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227697

With an aim to extract the structural information from the table of contents (TOC) to help develop digital document library the requirement of identifying/segmenting the TOC page is obvious. The objective to create digital document library is to provide a non-labour intensive, cheap and flexible way of storing, representing and managing the paper document in electronic form to facilitate indexing, viewing, printing and extracting the intended portions. Information from the TOC pages be extracted to use in document database for effective retrieval of the required pages. In this paper we present fully auotmatic identification and segmentation of table of contents (TOC) page from scanned document.

Index Terms:

Document image segmentation, Table of contents detection, Digital document library

Citation:

S. Mandal, S. P. Chowdhury, A. K. Das, Bhabatosh Chanda, "Automated Detection and Segmentation of Table of Contents Page from Document Images," icdar, vol. 1, pp.398, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1, 2003

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