Detection of figure and caption pairs based on disorder measurements

Claudie Faure; Nicole Vincent

doi:10.1117/12.838592

18 January 2010 Detection of figure and caption pairs based on disorder measurements

Claudie Faure, Nicole Vincent

Proceedings Volume 7534, Document Recognition and Retrieval XVII; 75340S (2010) https://doi.org/10.1117/12.838592
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

Abstract

Figures inserted in documents mediate a kind of information for which the visual modality is more appropriate than the text. A complete understanding of a figure often necessitates the reading of its caption or to establish a relationship with the main text using a numbered figure identifier which is replicated in the caption and in the main text. A figure and its caption are closely related; they constitute single multimodal components (FC-pair) that Document Image Analysis cannot extract with text and graphics segmentation. We propose a method to go further than the graphics and text segmentation in order to extract FC-pairs without performing a full labelling of the page components. Horizontal and vertical text lines are detected in the pages. The graphics are associated with selected text lines to initiate the detector of FC-pairs. Spatial and visual disorders are introduced to define a layout model in terms of properties. It enables to cope with most of the numerous spatial arrangements of graphics and text lines. The detector of FC-pairs performs operations in order to eliminate the layout disorder and assigns a quality value to each FC-pair. The processed documents were collected in medic@, the digital historical collection of the BIUM (Bibliothèque InterUniversitaire Médicale). A first set of 98 pages constitutes the design set. Then 298 pages were collected to evaluate the system. The performances are the result of a full process, from the binarisation of the digital images to the detection of FC-pairs.

Citation Download Citation

Claudie Faure and Nicole Vincent "Detection of figure and caption pairs based on disorder measurements", Proc. SPIE 7534, Document Recognition and Retrieval XVII, 75340S (18 January 2010); https://doi.org/10.1117/12.838592

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