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Ground Truth Data for Document Image Analysis
The ground truth data described here is collected from the production operation of MARS (Medical Article Records System), a system combining scanning, OCR, document image analysis and lexical analysis techniques. Developed by an R&D division of the National Library of Medicine (NLM), MARS automatically extracts bibliographic data from paper-based biomedical journals to populate the Library's flagship database, MEDLINE , used worldwide by biomedical researchers and clinicians. The bibliographic data extracted include the article title, author names, institutional affiliations and abstracts. This ground truth data includes document images, OCR output and operator-verified data at the page, zone, line, word, and character levels. It is accessible online via a public website to enable researchers to develop innovative and efficient algorithms for automatic zoning (page segmentation), labeling (field identification), lexical analysis techniques to correct OCR errors, and techniques for reformatting syntax to adhere to established conventions. In addition, we offer a tool (Rover) to visually compare the results of such programs to the ground truth data. The ground truth and results data are in XML, and Rover is written in Java. The overall website development uses MacroMedia Dreamweaver UltradDev 4 to provide a rich interface and extensive database connectivity.