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Proceedings Paper

DOCLIB: a software library for document processing
Author(s): Stefan Jaeger; Guangyu Zhu; David Doermann; Kevin Chen; Summit Sampat
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Paper Abstract

Most researchers would agree that research in the field of document processing can benefit tremendously from a common software library through which institutions are able to develop and share research-related software and applications across academic, business, and government domains. However, despite several attempts in the past, the research community still lacks a widely-accepted standard software library for document processing. This paper describes a new library called DOCLIB, which tries to overcome the drawbacks of earlier approaches. Many of DOCLIB's features are unique either in themselves or in their combination with others, e.g. the factory concept for support of different image types, the juxtaposition of image data and metadata, or the add-on mechanism. We cherish the hope that DOCLIB serves the needs of researchers better than previous approaches and will readily be accepted by a larger group of scientists.

Paper Details

Date Published: 16 January 2006
PDF: 9 pages
Proc. SPIE 6067, Document Recognition and Retrieval XIII, 606709 (16 January 2006); doi: 10.1117/12.649731
Show Author Affiliations
Stefan Jaeger, Univ. of Maryland, College Park (United States)
Guangyu Zhu, Univ. of Maryland, College Park (United States)
David Doermann, Univ. of Maryland, College Park (United States)
Kevin Chen, Booz Allen Hamilton (United States)
Summit Sampat, Booz Allen Hamilton (United States)


Published in SPIE Proceedings Vol. 6067:
Document Recognition and Retrieval XIII
Kazem Taghva; Xiaofan Lin, Editor(s)

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