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Proceedings Paper

Author name recognition in degraded journal images
Author(s): Aliette de Bodard de la Jacopière; Laurence Likforman-Sulem
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Paper Abstract

A method for extracting names in degraded documents is presented in this article. The documents targeted are images of photocopied scientific journals from various scientific domains. Due to the degradation, there is poor OCR recognition, and pieces of other articles appear on the sides of the image. The proposed approach relies on the combination of a low-level textual analysis and an image-based analysis. The textual analysis extracts robust typographic features, while the image analysis selects image regions of interest through anchor components. We report results on the University of Washington benchmark database.

Paper Details

Date Published: 16 January 2006
PDF: 9 pages
Proc. SPIE 6067, Document Recognition and Retrieval XIII, 60670L (16 January 2006); doi: 10.1117/12.643043
Show Author Affiliations
Aliette de Bodard de la Jacopière, École Nationale Supérieure des Télécommunications (France)
Laurence Likforman-Sulem, École Nationale Supérieure des Télécommunications (France)

Published in SPIE Proceedings Vol. 6067:
Document Recognition and Retrieval XIII
Kazem Taghva; Xiaofan Lin, Editor(s)

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