Enhancing Text Recognition of Damaged Documents through Synergistic OCR and Large Language Models

Saved in:
Bibliographic Details
Main Authors: Thomas Asselborn, Jens Dörpinghaus, Faraz Kausar, Ralf Möller, Sylvia Melzer
Format: Article
Language:English
Published: Polish Information Processing Society 2024-11-01
Series:Annals of computer science and information systems
Online Access:https://annals-csis.org/Volume_41/drp/pdf/7400.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850106263567859712
author Thomas Asselborn
Jens Dörpinghaus
Faraz Kausar
Ralf Möller
Sylvia Melzer
author_facet Thomas Asselborn
Jens Dörpinghaus
Faraz Kausar
Ralf Möller
Sylvia Melzer
author_sort Thomas Asselborn
collection DOAJ
format Article
id doaj-art-92ca3d7e9bd34b09ba1019135f28c908
institution OA Journals
issn 2300-5963
language English
publishDate 2024-11-01
publisher Polish Information Processing Society
record_format Article
series Annals of computer science and information systems
spelling doaj-art-92ca3d7e9bd34b09ba1019135f28c9082025-08-20T02:38:52ZengPolish Information Processing SocietyAnnals of computer science and information systems2300-59632024-11-0141293610.15439/2024F7400Enhancing Text Recognition of Damaged Documents through Synergistic OCR and Large Language ModelsThomas AsselbornJens DörpinghausFaraz KausarRalf MöllerSylvia Melzerhttps://annals-csis.org/Volume_41/drp/pdf/7400.pdf
spellingShingle Thomas Asselborn
Jens Dörpinghaus
Faraz Kausar
Ralf Möller
Sylvia Melzer
Enhancing Text Recognition of Damaged Documents through Synergistic OCR and Large Language Models
Annals of computer science and information systems
title Enhancing Text Recognition of Damaged Documents through Synergistic OCR and Large Language Models
title_full Enhancing Text Recognition of Damaged Documents through Synergistic OCR and Large Language Models
title_fullStr Enhancing Text Recognition of Damaged Documents through Synergistic OCR and Large Language Models
title_full_unstemmed Enhancing Text Recognition of Damaged Documents through Synergistic OCR and Large Language Models
title_short Enhancing Text Recognition of Damaged Documents through Synergistic OCR and Large Language Models
title_sort enhancing text recognition of damaged documents through synergistic ocr and large language models
url https://annals-csis.org/Volume_41/drp/pdf/7400.pdf
work_keys_str_mv AT thomasasselborn enhancingtextrecognitionofdamageddocumentsthroughsynergisticocrandlargelanguagemodels
AT jensdorpinghaus enhancingtextrecognitionofdamageddocumentsthroughsynergisticocrandlargelanguagemodels
AT farazkausar enhancingtextrecognitionofdamageddocumentsthroughsynergisticocrandlargelanguagemodels
AT ralfmoller enhancingtextrecognitionofdamageddocumentsthroughsynergisticocrandlargelanguagemodels
AT sylviamelzer enhancingtextrecognitionofdamageddocumentsthroughsynergisticocrandlargelanguagemodels