22 December 1999 Automated zone correction in bitmapped document images
Author Affiliations +
Proceedings Volume 3967, Document Recognition and Retrieval VII; (1999); doi: 10.1117/12.373499
Event: Electronic Imaging, 2000, San Jose, CA, United States
The optical character recognition system (OCR) selected by the National Library of Medicine (NLM) as part of its system for automating the production of MEDLINER 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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Susan E. Hauser, Daniel X. Le, George R. Thoma, "Automated zone correction in bitmapped document images", Proc. SPIE 3967, Document Recognition and Retrieval VII, (22 December 1999); doi: 10.1117/12.373499; http://dx.doi.org/10.1117/12.373499

Optical character recognition

Image segmentation


Biomedical optics

Algorithm development


Image processing

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