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Optical Character Recognition of 19th Century Classical Commentaries: the Current State of Affairs

Authors: Romanello, Matteo; Sven, Najem-Meyer; Robertson, Bruce;

Optical Character Recognition of 19th Century Classical Commentaries: the Current State of Affairs

Abstract

Slides of the talk by Matteo Romanello, Sven Najem-Meyer and Bruce Robertson entitled Optical Character Recognition of 19th Century Classical Commentaries: the Current State of Affairs. Presented at 6th International Workshop on Historical Document Imaging and Processing (HIP’21), co-located with ICDAR 2021 (September 6, 2021, Lausanne).

Keywords

FOS: Computer and information sciences, optical character recognition, evaluation, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Computer Science - Digital Libraries, Digital Libraries (cs.DL), historical classical commentaries

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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10
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