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13 January 2003 Content features for logical document labeling
Jian Liang, David Scott Doermann
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Proceedings Volume 5010, Document Recognition and Retrieval X; (2003) https://doi.org/10.1117/12.476061
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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Jian Liang and David Scott Doermann "Content features for logical document labeling", Proc. SPIE 5010, Document Recognition and Retrieval X, (13 January 2003); https://doi.org/10.1117/12.476061
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KEYWORDS
Electronic imaging
Feature extraction
Model-based design
Statistical modeling
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