Keyword spotting in historical handwritten documents based on graph matching

dc.contributor.authorStauffer, Michael
dc.contributor.authorFischer, Andreas
dc.contributor.authorRiesen, Kaspar
dc.date.accessioned2018-04-25T09:23:10Z
dc.date.issued2018-09
dc.description.abstractIn the last decades historical handwritten documents have become increasingly available in digital form. Yet, the accessibility to these documents with respect to browsing and searching remained limited as full automatic transcription is often not possible or not sufficiently accurate. This paper proposes a novel reliable approach for template-based keyword spotting in historical handwritten documents. In particular, our framework makes use of different graph representations for segmented word images and a sophisticated matching procedure. Moreover, we extend our method to a spotting ensemble. In an exhaustive experimental evaluation on four widely used benchmark datasets we show that the proposed approach is able to keep up or even outperform several state-of-the-art methods for template- and learning-based keyword spotting.en_ZA
dc.description.departmentInformaticsen_ZA
dc.description.embargo2019-09-01
dc.description.librarianhj2018en_ZA
dc.description.sponsorshipThe Hasler Foundation Switzerlanden_ZA
dc.description.urihttp://www.elsevier.com/locate/patcogen_ZA
dc.identifier.citationStauffer, M., Fischer, A. & Riesen, K. 2018, 'Keyword spotting in historical handwritten documents based on graph matching', Pattern Recognition, vol. 81, pp. 240-253.en_ZA
dc.identifier.issn0031-3203
dc.identifier.other10.1016/j.patcog.2018.04.001
dc.identifier.urihttp://hdl.handle.net/2263/64716
dc.language.isoenen_ZA
dc.publisherElsevieren_ZA
dc.rights© 2018 Elsevier Ltd. All rights reserved.Notice : this is the author’s version of a work that was accepted for publication in Pattern Recognition. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Pattern Recognition, vol. 81, pp. 240-253, 2018. doi : 10.1016/j.patcog.2018.04.001.en_ZA
dc.subjectHandwritten keyword spottingen_ZA
dc.subjectEnsemble methodsen_ZA
dc.subjectBipartite graph matchingen_ZA
dc.subjectGraph representationen_ZA
dc.subjectPattern recognitionen_ZA
dc.subjectState-of-the-art methodsen_ZA
dc.subjectSoftware engineeringen_ZA
dc.subjectExperimental evaluationen_ZA
dc.subjectAutomatic transcriptionen_ZA
dc.titleKeyword spotting in historical handwritten documents based on graph matchingen_ZA
dc.typePostprint Articleen_ZA

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Stauffer_Keyword_2018.pdf
Size:
14.15 MB
Format:
Adobe Portable Document Format
Description:
Postprint Article

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: