Automated data entry system: performance issues

George R. Thoma; Glenn Ford

doi:10.1117/12.450734

18 December 2001 Automated data entry system: performance issues

George R. Thoma, Glenn Ford

Author Affiliations +

Proceedings Volume 4670, Document Recognition and Retrieval IX; (2001) https://doi.org/10.1117/12.450734
Event: Electronic Imaging, 2002, San Jose, California, United States

Abstract

This paper discusses the performance of a system for extracting bibliographic fields from scanned pages in biomedical journals to populate MEDLINE, the flagship database of the national Library of Medicine (NLM), and heavily used worldwide. This system consists of automated processes to extract the article title, author names, affiliations and abstract, and manual workstations for the entry of other required fields such as pagination, grant support information, databank accession numbers and others needed for a completed bibliographic record in MEDLINE. Labor and time data are given for (1) a wholly manual keyboarding process to create the records, (2) an OCR-based system that requires all fields except the abstract to be manually input, and (3) a more automated system that relies on document image analysis and understanding techniques for the extraction of several fields. It is shown that this last, most automated, approach requires less than 25% of the labor effort in the first, manual, process.

Citation Download Citation

George R. Thoma and Glenn Ford "Automated data entry system: performance issues", Proc. SPIE 4670, Document Recognition and Retrieval IX, (18 December 2001); https://doi.org/10.1117/12.450734

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE