Paper
13 March 1996 DocBrowse: a system for information retrieval from document image data
Mysore Y. Jaisimha, Andrew G. Bruce, Thien Nguyen
Author Affiliations +
Proceedings Volume 2670, Storage and Retrieval for Still Image and Video Databases IV; (1996) https://doi.org/10.1117/12.234774
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mysore Y. Jaisimha, Andrew G. Bruce, and Thien Nguyen "DocBrowse: a system for information retrieval from document image data", Proc. SPIE 2670, Storage and Retrieval for Still Image and Video Databases IV, (13 March 1996); https://doi.org/10.1117/12.234774
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Databases

Visualization

Human-machine interfaces

Image retrieval

Optical character recognition

Document image analysis

Image segmentation

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