A Hierarchical Method for Automated Identification and Segmentation of Forms

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	Similar Articles Articles by S. Mandal Articles by S. P. Chowdhury Articles by A. K. Das Articles by Bhabatosh Chanda

Eighth International Conference on Document Analysis and Recognition (ICDAR'05)

Seoul, Korea

August 31-September 01

ISBN: 0-7695-2420-6

	ASCII Text	x
	S. Mandal, S. P. Chowdhury, A. K. Das, Bhabatosh Chanda, "A Hierarchical Method for Automated Identification and Segmentation of Forms," Document Analysis and Recognition, International Conference on, pp. 705-709, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005.

	BibTex	x
	@article{ 10.1109/ICDAR.2005.17, author = {S. Mandal and S. P. Chowdhury and A. K. Das and Bhabatosh Chanda}, title = {A Hierarchical Method for Automated Identification and Segmentation of Forms}, journal ={Document Analysis and Recognition, International Conference on}, volume = {0}, year = {2005}, issn = {1520-5263}, pages = {705-709}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.17}, 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 - A Hierarchical Method for Automated Identification and Segmentation of Forms SN - 1520-5263 SP705 EP709 A1 - S. Mandal, A1 - S. P. Chowdhury, A1 - A. K. Das, A1 - Bhabatosh Chanda, PY - 2005 KW - null VL - 0 JA - Document Analysis and Recognition, International Conference on ER -

S. Mandal, B. E. & Sc. University, Shibpur, India

S. P. Chowdhury, B. E. & Sc. University, Shibpur, India

A. K. Das, B. E. & Sc. University, Shibpur, India

Bhabatosh Chanda, ECS Unit Indian Statistical Institute, Calcutta, INDIA

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.17

In this paper we propose a fully automatic hierarchical method for identification of forms using global as well as local features. Moments of certain orders are considered as global shape features and are utilised to reduce the search space by selecting a subset of forms present in the database. The type of the candidate form is then identified within this subset through detail analysis using local geometrical and topological features. The candidate form is then segmented to extract the user-filled information.

Citation:

S. Mandal, S. P. Chowdhury, A. K. Das, Bhabatosh Chanda, "A Hierarchical Method for Automated Identification and Segmentation of Forms," icdar, pp.705-709, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005

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