
Proceedings Paper
A classification-free word-spotting systemFormat | Member Price | Non-Member Price |
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Paper Abstract
In this paper, a classification-free Word-Spotting system, appropriate for the retrieval of printed historical document
images is proposed. The system skips many of the procedures of a common approach. It does not include segmentation,
feature extraction or classification. Instead it treats the queries as compact shapes and uses image processing techniques
in order to localize a query in the document images. Our system was tested on a historical document collection with
many problems and a Google book, printed in 1675. Moreover, some comparative results are given for a traditional word
spotting system.
Paper Details
Date Published: 4 February 2013
PDF: 10 pages
Proc. SPIE 8658, Document Recognition and Retrieval XX, 86580F (4 February 2013); doi: 10.1117/12.2002975
Published in SPIE Proceedings Vol. 8658:
Document Recognition and Retrieval XX
Richard Zanibbi; Bertrand Coüasnon, Editor(s)
PDF: 10 pages
Proc. SPIE 8658, Document Recognition and Retrieval XX, 86580F (4 February 2013); doi: 10.1117/12.2002975
Show Author Affiliations
Nikos Vasilopoulos, Univ. of the Aegean (Greece)
Ergina Kavallieratou, Univ. of the Aegean (Greece)
Published in SPIE Proceedings Vol. 8658:
Document Recognition and Retrieval XX
Richard Zanibbi; Bertrand Coüasnon, Editor(s)
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