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Proceedings Paper

Address extraction using hidden Markov models
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Paper Abstract

This paper presents the implementation and evaluation of a Hidden Markov Model to extract addresses from OCR text. Although Hidden Markov Models discover addresses with high precision and recall, this type of Information Extraction task seems to be affected negatively by the presence of OCR text.

Paper Details

Date Published: 17 January 2005
PDF: 8 pages
Proc. SPIE 5676, Document Recognition and Retrieval XII, (17 January 2005); doi: 10.1117/12.587799
Show Author Affiliations
Kazem Taghva, Univ. of Nevada/Las Vegas (United States)
Jeffrey S. Coombs, Univ. of Nevada/Las Vegas (United States)
Ray Pereda, Univ. of Nevada/Las Vegas (United States)
Thomas A. Nartker, Univ. of Nevada/Las Vegas (United States)

Published in SPIE Proceedings Vol. 5676:
Document Recognition and Retrieval XII
Elisa H. Barney Smith; Kazem Taghva, Editor(s)

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