Towards an omnilingual word retrieval system for ancient manuscripts

In this article, we introduce the first method that allows the indexation of ancient manuscripts of any language and alphabet. We describe a word retrieval engine inspired by recent word-spotting advances on ancient manuscripts. Our approach does not need any layout segmentation and makes use of fea...

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Veröffentlicht in:	Pattern recognition 2009-09, Vol.42 (9), p.2089-2105
Hauptverfasser:	Leydier, Yann, Ouji, Asma, LeBourgeois, Frank, Emptoz, Hubert
Format:	Artikel
Sprache:	eng
Schlagworte:	Ancient documents Applied sciences Artificial intelligence Computer Science Computer science control theory systems Document indexing Exact sciences and technology Information theory Information, signal and communications theory Miscellaneous Omnilingual Pattern recognition Pattern recognition. Digital image processing. Computational geometry Segmentation-free Signal processing Telecommunications and information theory Word retrieval Word-spotting
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Beschreibung
Zusammenfassung:	In this article, we introduce the first method that allows the indexation of ancient manuscripts of any language and alphabet. We describe a word retrieval engine inspired by recent word-spotting advances on ancient manuscripts. Our approach does not need any layout segmentation and makes use of features fitted to any type of alphabet (Latin, Arabic, Chinese, etc.) and writing. The engine is tested on numerous documents and in several use-cases.
ISSN:	0031-3203 1873-5142
DOI:	10.1016/j.patcog.2009.01.026