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Proceedings Paper

Content features for logical document labeling
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Paper Abstract

The use of content feature extracted from recognized text is valuable in labeling logical elements in documents without rigid layout structure, like business letters. This paper discusses a model-based approach to combining content features with other geometrical and presentation features for logical labeling. Models are automatically initialized and adaptively improved using training samples. Satisfactory experiment results are presented.

Paper Details

Date Published: 13 January 2003
PDF: 8 pages
Proc. SPIE 5010, Document Recognition and Retrieval X, (13 January 2003); doi: 10.1117/12.476061
Show Author Affiliations
Jian Liang, Univ. of Maryland/College Park (United States)
David Scott Doermann, Univ. of Maryland/College Park (United States)


Published in SPIE Proceedings Vol. 5010:
Document Recognition and Retrieval X
Tapas Kanungo; Elisa H. Barney Smith; Jianying Hu; Paul B. Kantor, Editor(s)

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