NDLI: Learning-Free Text-Image Alignment for Medieval Manuscripts

Content Provider	IEEE Xplore Digital Library
Author	Leydier, Y. Eglin, V. Bres, S. Stutzmann, D.
Copyright Year	2014
Description	Author affiliation: Inst. de Rech. et d'Histoire des Textes, Paris, France (Stutzmann, D.) \|\| LIRIS, Univ. de Lyon, Lyon, France (Leydier, Y.; Eglin, V.; Bres, S.)
Abstract	In this paper, we describe a new approach for text-image alignment of middle-age documents. The method is dedicated to word-to-word alignment in a segmentation-free and learning-free way. The best word-to-word matching lies on an adapted editing cost between signatures extracted on Unicode characters and on the images. The results are evaluated on the "Queste del saint Graal" (13th c.) by palaeographers through an intuitive validation interface that also offers a very fast interactive correction process. The gain of time resulting from the absence of learning stage offers the opportunity to pay more attention to the integration of different specificities and variations in middle-age handwritten documents (presence of typical abbreviations, allographs).
Starting Page	363
Ending Page	368
File Size	746680
Page Count	6
File Format	PDF
ISBN	9781479943357
ISSN	21676445
e-ISBN	9781479943340
DOI	10.1109/ICFHR.2014.67
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-01
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Writing Image segmentation Training Shape Streaming media Robustness XML dynamic programming text-image alignment medieval manuscript
Content Type	Text
Resource Type	Article

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