Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000 · 33 citations · 6 references
ComputingBiomedical InformaticsComputer ScienceBiomedical Text MiningInformation RetrievalNatural Language ProcessingDocument Image AnalysisInformation ExtractionLiterature MiningMedical Image AnalysisOptical Character RecognitionPattern RecognitionAutomated Image LabelingBiomedical Text RetrievalDocument Layout AnalysisInformation Extraction From Biomedical TextLabelingMedical Document AnalysisRule-based DetectionRule-based Matching
The National Library of Medicine (NLM) is developing an automated system to produce bibliographic records for its MEDLINE<SUP>R</SUP> 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%.
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George Nagy · Proceedings of the IEEE · 1992 · 112 citations
Major components of a complete text reading system
Shuichi Tsujimoto, H. Harry Asada · Proceedings of the IEEE · 1992 · 111 citations
Layout extraction of mixed mode documents
Frank H�nes, J�rgen Lichter · Machine Vision and Applications · 1994 · 45 citations
Computing, Design, Documentation +10