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Journal of Electronic Imaging

New public dataset for spotting patterns in medieval document images
Author(s): Sovann En; Stéphane Nicolas; Caroline Petitjean; Frédéric Jurie; Laurent Heutte
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Paper Abstract

With advances in technology, a large part of our cultural heritage is becoming digitally available. In particular, in the field of historical document image analysis, there is now a growing need for indexing and data mining tools, thus allowing us to spot and retrieve the occurrences of an object of interest, called a pattern, in a large database of document images. Patterns may present some variability in terms of color, shape, or context, making the spotting of patterns a challenging task. Pattern spotting is a relatively new field of research, still hampered by the lack of available annotated resources. We present a new publicly available dataset named DocExplore dedicated to spotting patterns in historical document images. The dataset contains 1500 images and 1464 queries, and allows the evaluation of two tasks: image retrieval and pattern localization. A standardized benchmark protocol along with ad hoc metrics is provided for a fair comparison of the submitted approaches. We also provide some first results obtained with our baseline system on this new dataset, which show that there is room for improvement and that should encourage researchers of the document image analysis community to design new systems and submit improved results.

Paper Details

Date Published: 23 November 2016
PDF: 15 pages
J. Electron. Imaging. 26(1) 011010 doi: 10.1117/1.JEI.26.1.011010
Published in: Journal of Electronic Imaging Volume 26, Issue 1
Show Author Affiliations
Sovann En, Institut National des Sciences Appliquées de Rouen (France)
Stéphane Nicolas, Institut National des Sciences Appliquées de Rouen (France)
Caroline Petitjean, Institut National des Sciences Appliquées de Rouen (France)
Frédéric Jurie, Univ. de Caen Basse-Normandie (France)
Laurent Heutte, Univ. de Rouen (France)

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