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January 24, 2010 | History

Application of statistical pattern recognition to document segmentation and labelling 1 edition

Application of statistical pattern recognition to document segmentatio ...
Kevin Laven

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Application of statistical pattern recognition to document segmentation and labelling.

Published 2005 .
Written in English.

About the Book

In the field of computer analysis of document images, the problems of physical and logical layout analysis have been approached through a variety of heuristic, rule-based, and grammar-based techniques. In this paper we investigate the effectiveness of statistical pattern recognition algorithms for solving these two problems. Using a new software environment for manual page image segmentation and labelling, a dataset containing 932 page images from academic journals has been created. Several physical layout analysis algorithms have been implemented, including a new algorithm based on a logistic regression classifier. Three statistical classifiers were applied to the logical layout analysis problem, with encouraging results. A new model for how ink is laid out on a page was used to develop a prototype combined segmentation and labeling system. Finally, several applications have been investigated, and rudimentary implementations demonstrated. Results indicate that statistical pattern recognition approaches to these problems will be very fruitful.

Edition Notes

Source: Masters Abstracts International, Volume: 44-02, page: 0936.

Advisor: S. Roweis.

Thesis (M.Sc.)--University of Toronto, 2005.

Electronic version licensed for access by U. of T. users.

GERSTEIN MICROTEXT copy on microfiche (2 microfiches).

The Physical Object

145 leaves.
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History Created December 11, 2009 · 2 revisions Download catalog record: RDF / JSON

January 24, 2010 Edited by WorkBot add more information to works
December 11, 2009 Created by WorkBot add works page