Automated labeling in document images

Jongwoo Kim; Daniel X. Le; George R. Thoma

doi:10.1117/12.410828

21 December 2000 Automated labeling in document images

Jongwoo Kim, Daniel X. Le, George R. Thoma

Proceedings Volume 4307, Document Recognition and Retrieval VIII; (2000) https://doi.org/10.1117/12.410828
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

The National Library of Medicine (NLM) is developing an automated system to produce bibliographic records for its MEDLINE^R database. This system, named Medical Article Record System (MARS), employs document image analysis and understanding techniques and optical character recognition (OCR). This paper describes a key module in MARS called the Automated Labeling (AL) module, which labels all zones of interest (title, author, affiliation, and abstract) automatically. The AL algorithm is based on 120 rules that are derived from an analysis of journal page layouts and features extracted from OCR output. Experiments carried out on more than 11,000 articles in over 1,000 biomedical journals show the accuracy of this rule-based algorithm to exceed 96%.

Citation Download Citation

Jongwoo Kim, Daniel X. Le, and George R. Thoma "Automated labeling in document images", Proc. SPIE 4307, Document Recognition and Retrieval VIII, (21 December 2000); https://doi.org/10.1117/12.410828

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