Automated zone correction in bitmapped document images

Susan E. Hauser; Daniel X. Le; George R. Thoma

doi:10.1117/12.373499

22 December 1999 Automated zone correction in bitmapped document images

Susan E. Hauser, Daniel X. Le, George R. Thoma

Proceedings Volume 3967, Document Recognition and Retrieval VII; (1999) https://doi.org/10.1117/12.373499
Event: Electronic Imaging, 2000, San Jose, CA, United States

Abstract

The optical character recognition system (OCR) selected by the National Library of Medicine (NLM) as part of its system for automating the production of MEDLINE^R records frequently segments the scanned page images into zones which are inappropriate for NLM's application. Software has been created in-house to correct the zones using character coordinate and character attribute information provided as part of the OCR output data. The software correctly delineates over 97% of the zones of interest tested to date.

Citation Download Citation

Susan E. Hauser, Daniel X. Le, and George R. Thoma "Automated zone correction in bitmapped document images", Proc. SPIE 3967, Document Recognition and Retrieval VII, (22 December 1999); https://doi.org/10.1117/12.373499

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