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Proceedings Paper

DocBrowse: a system for information retrieval from document image data
Author(s): Mysore Y. Jaisimha; Andrew G. Bruce; Thien Nguyen
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Paper Abstract

This paper presents the software architecture for DocBrowse: a system for mixed text/graphics document image analysis and retrieval. DocBrowse is an open and extensible environment that permits the user to visually manage and perform queries on highly degraded document image databases. DocBrowse also serves as a research environment for developing document image analysis and query by image example (QBIE) algorithms. The system consists of a user interface, an object-relational document database and a variety of document image analysis engines. Using DocBrowse, it is possible to perform queries that retrieve documents based on both graphical and textual content. We describe the graphical user interface and visual image browser that is used to perform such queries. We also describe our approach to QBIE, the database structure, and the analysis engines incorporated in DocBrowse.

Paper Details

Date Published: 13 March 1996
PDF: 12 pages
Proc. SPIE 2670, Storage and Retrieval for Still Image and Video Databases IV, (13 March 1996); doi: 10.1117/12.234774
Show Author Affiliations
Mysore Y. Jaisimha, MathSoft, Inc. (United States)
Andrew G. Bruce, MathSoft, Inc. (United States)
Thien Nguyen, MathSoft, Inc. (United States)


Published in SPIE Proceedings Vol. 2670:
Storage and Retrieval for Still Image and Video Databases IV
Ishwar K. Sethi; Ramesh C. Jain, Editor(s)

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