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2013 12th International Conference on Document Analysis and Recognition (2013)
Washington, DC, USA USA
Aug. 25, 2013 to Aug. 28, 2013
ISSN: 1520-5363
pp: 135-139
Academic papers contain multiple figures (information graphics) representing important findings and experimental results. Automatic data extraction from such figures and classification of information graphics is not straightforward and a well studied problem in document analysis cite{4275059}. Also, very few digital library search engines index figures and/or associated metadata (figure caption) from PDF documents. We describe the very first step in indexing, classification and data extraction from figures in PDF documents - accurate automatic extraction of figures and associated metadata, a nontrivial task. Document layout, font information, lexical and linguistic features for figure caption extraction from PDF documents is considered for both rule based and machine learning based approaches. We also describe a digital library search engine that indexes figure captions and mentions from 150K documents, extracted by our custom built extractor.
Feature extraction, Portable document format, Accuracy, Data mining, Libraries, Search engines, Layout,metadata based figure search, information extraction
Sagnik Ray Choudhury, Prasenjit Mitra, Andi Kirk, Silvia Szep, Donald Pellegrino, Sue Jones, C. Lee Giles, "Figure Metadata Extraction from Digital Documents", 2013 12th International Conference on Document Analysis and Recognition, vol. 00, no. , pp. 135-139, 2013, doi:10.1109/ICDAR.2013.34
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