Historical Document Analysis

Baloun, Josef

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DC Field	Value	Language
dc.contributor.author	Baloun, Josef
dc.date.accessioned	2023-01-30T06:17:17Z
dc.date.available	2023-01-30T06:17:17Z
dc.date.issued	2022
dc.identifier.uri	https://www.kiv.zcu.cz/cz/vyzkum/publikace/technicke-zpravy/
dc.identifier.uri	http://hdl.handle.net/11025/51145
dc.format	63 s.	cs
dc.format.mimetype	application/pdf
dc.language.iso	en	en
dc.publisher	University of West Bohemia	en
dc.rights	© University of West Bohemia	en
dc.subject	naskenované dokumenty	cs
dc.subject	analýza	cs
dc.subject	strojové učení	cs
dc.subject	počítačové vidění	cs
dc.subject	zpracování přirozeného jazyka	cs
dc.title	Historical Document Analysis	en
dc.type	zpráva	cs
dc.type	report	en
dc.rights.access	openAccess	en
dc.type.version	publishedVersion	en
dc.description.abstract-translated	Scanned documents are a rich source of various information that can be processed utilizing a document analysis system. Such a system covers the areas of Machine Learning, Computer Vision and Natural Language Processing. In the thesis, these areas are covered with a focus on common and state-of-the-art approaches applicable to historical document analysis, which is still challenging due to several difficulties such as handwritten text. Finally, the current research results and aims of the future doctoral thesis are presented.	en
dc.subject.translated	scanned documents	en
dc.subject.translated	analyses	en
dc.subject.translated	machine learning	en
dc.subject.translated	computer vision	en
dc.subject.translated	natural language processing	en
Appears in Collections:	Zprávy / Reports (KIV)

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/51145

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