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Towards Query by Text Example for pattern spotting in historical documents
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datalogi och datorsystemteknik. (BigData Project Profile)ORCID-id: 0000-0002-4390-411X
2016 (engelsk)Inngår i: Proceedings - CSIT 2016: 2016 7th International Conference on Computer Science and Information Technology, IEEE Computer Society, 2016, artikkel-id 7549479Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Historical documents are essentially formed of handwritten texts that exhibit a variety of perceptual environment complexities. The cursive and connected nature of text lines on one hand and the presence of artefacts and noise on the other hand hinder achieving plausible results using current image processing algorithm. In this paper, we present a new algorithm which we termed QTE (Query by Text Example) that allows for training-free and binarisation-free pattern spotting in scanned handwritten historical documents. Our algorithm gives promising results on a subset of our database revealing ∌83% success rate in locating word patterns supplied by the user.

sted, utgiver, år, opplag, sider
IEEE Computer Society, 2016. artikkel-id 7549479
Serie
International Conference on Computer Science and Information Technology, ISSN 2381-3458
Emneord [en]
Character recognition; History; Pattern recognition; Query processing, Binarisation; Current image; Environment complexity; handwritten; Handwritten texts; Hessian filter; Historical documents; SURF, Image processing
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-13085DOI: 10.1109/CSIT.2016.7549479ISI: 000390458000030Scopus ID: 2-s2.0-84987678228ISBN: 9781467389136 (tryckt)OAI: oai:DiVA.org:bth-13085DiVA, id: diva2:1033183
Konferanse
7th International Conference on Computer Science and Information Technology, CSIT 2016; Applied Science University (ASU) Conference PalaceAmman; Jordan
Merknad

Conference of 7th International Conference on Computer Science and Information Technology, CSIT 2016 ; Conference Date: 13 July 2016 Through 14 July 2016; Conference Code:123537

Tilgjengelig fra: 2016-10-06 Laget: 2016-10-03 Sist oppdatert: 2018-01-14bibliografisk kontrollert

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