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Access:https://doi.org/10.25354/nls2020.08.26 (downloaded 16-10-2020)
(part of the Digital Archive for Chinese Studies - to gain access please refer to http://www.uni-heidelberg.de/dachs/access_de.html!)
Material:Computer file
Title:RDCL2019 : ICDAR Competition on Recognition of Documents with Complex Layout / Pattern Recognition and Imags Analysis (PRImA) Research Lab
Orig. URL:https://www.primaresearch.org/RDCL2019/
Description:1 warc file
Collections:
Language:eng
Corp. body:Pattern Recognition and Imags Analysis (PRImA) Research Lab
Subjects:Optical character recognition
Optical pattern recognition
Software frameworks
Image processing - Digital techniques

Access:https://doi.org/10.25354/nls2020.08.23 (downloaded 19-10-2020)
(part of the Digital Archive for Chinese Studies - to gain access please refer to http://www.uni-heidelberg.de/dachs/access_de.html!)
Material:Computer file
Author:Reul, Christian
Title:LAREX (Layout Analysis) : layout analysis and region extraction (LAREX). Lehrstuhl für Informatik VI / Christian Reul
Orig. URL:http://www.is.informatik.uni-wuerzburg.de/open-source-tools/larex/
Description:1 warc file
Collections:
Language:eng
Subjects:Optical character recognition
Optical pattern recognition
Software frameworks
Image processing - Digital techniques

Access:https://doi.org/10.25354/nls2020.08.25 (downloaded 16-10-2020)
(part of the Digital Archive for Chinese Studies - to gain access please refer to http://www.uni-heidelberg.de/dachs/access_de.html!)
Material:Computer file
Title:Welcome to the OCR-D Developer Section! / OCR-D
Orig. URL:https://ocr-d.de/en/dev
Description:1 warc file
Collections:
Language:eng
Corp. body:OCR-D
Subjects:Optical character recognition
Optical pattern recognition
Software frameworks
Image processing - Digital techniques

Access:https://doi.org/10.25354/nls2020.08.24 (downloaded 19-10-2020)
(part of the Digital Archive for Chinese Studies - to gain access please refer to http://www.uni-heidelberg.de/dachs/access_de.html!)
Material:Computer file
Title:The OCR-D project / OCR-D
Orig. URL:https://ocr-d.de/en/about
Description:1 warc file
Collections:
Language:eng
Corp. body:OCR-D
Subjects:Optical character recognition
Optical pattern recognition
Software frameworks
Image processing - Digital techniques

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