An Intelligent Semi-Automatic Workflow for Optical Character Recognition of Historical Printings

Optical Character Recognition (OCR) on historical printings is a challenging task mainly due to the complexity of the layout and the highly variant typography. Nevertheless, in the last few years great progress has been made in the area of historical OCR resulting in several powerful open-source too...

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Bibliographic Details
Main Author: Reul, Christian
Format: Doctoral Thesis
Language:English
Published: 2020
Subjects:
Online Access:https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/20923
http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-209239
https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-209239
https://doi.org/10.25972/OPUS-20923
https://opus.bibliothek.uni-wuerzburg.de/files/20923/Reul_Christian_Dissertation.pdf