<div class="csl-bib-body">
<div class="csl-entry">Hollaus, F., Diem, M., & Sablatnig, R. (2018). MultiSpectral Image Binarization using GMMs. In <i>16th International Conference on Frontiers in Handwriting Recognition (ICFHR 2018)</i>. The Institute of Electrical and Electronics Engineers, Inc. https://doi.org/10.1109/ICFHR-2018.2018.00105</div>
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The final publication is available via <a href="https://doi.org/10.1109/ICFHR-2018.2018.00105" target="_blank">https://doi.org/10.1109/ICFHR-2018.2018.00105</a>.
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dc.description.abstract
MultiSpectral Imaging enhances the study of degraded historical documents. It allows for visualizing washed out or even invisible ink but also improves the automated analysis because of a denser spectral sampling. We present a new methodology for binarization of multispectral document images that groups spectral signatures of different sources by fitting two Gaussian Mixture Models (GMMs) with Expectation Maximization. Both GMMs assign cluster labels to the multispectral samples and the clustering results are combined for the identification of the handwriting regions. The method is evaluated on the ICDAR 2015 MS-TEx dataset. Results on this publicly available benchmarking set are encouraging.
en
dc.description.sponsorship
European Union's Horizon 2020
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dc.language
English
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
MSI
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dc.subject
Binarization
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dc.subject
GMM
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dc.title
MultiSpectral Image Binarization using GMMs
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dc.type
Inproceedings
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dc.type
Konferenzbeitrag
de
dc.rights.license
Urheberrechtsschutz
de
dc.rights.license
In Copyright
en
dc.relation.isbn
978-1-5386-5875-8
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dc.relation.grantno
674943
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dc.rights.holder
2018 IEEE
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
16th International Conference on Frontiers in Handwriting Recognition (ICFHR 2018)
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tuw.relation.publisher
The Institute of Electrical and Electronics Engineers, Inc.
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tuw.relation.publisherplace
Niagara Falls, New York
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tuw.version
am
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tuw.publication.orgunit
E193 - Institut für Visual Computing and Human-Centered Technology
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tuw.publisher.doi
10.1109/ICFHR-2018.2018.00105
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dc.identifier.libraryid
AC15148696
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dc.identifier.urn
urn:nbn:at:at-ubtuw:3-3784
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tuw.author.orcid
0000-0002-5708-3666
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tuw.author.orcid
0000-0002-5048-5128
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tuw.author.orcid
0000-0003-4195-1593
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dc.rights.identifier
Urheberrechtsschutz
de
dc.rights.identifier
In Copyright
en
item.openaccessfulltext
Open Access
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item.grantfulltext
open
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item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.languageiso639-1
en
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item.openairetype
conference paper
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item.fulltext
with Fulltext
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crisitem.author.dept
E193-01 - Forschungsbereich Computer Vision
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crisitem.author.dept
E193-01 - Forschungsbereich Computer Vision
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crisitem.author.dept
E193 - Institut für Visual Computing and Human-Centered Technology
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crisitem.author.orcid
0000-0002-5048-5128
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crisitem.author.orcid
0000-0003-4195-1593
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crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
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crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology