2026-07-25T03:00:31Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:18522 2024-03-06T10:32:09Z ddc:004 open_access

OCRticle - a Structure-Aware OCR Application Rodrigues dos Santos, Sofia G. Dias de Almeida, J. João OCR Optical Character Recognition Data Structure Data Parsing Document Structure While there are currently many applications and websites capable of performing Optical Character Recognition (OCR), none of the widely available options offer structured OCR, i.e., OCR that maintains the text’s original structure. For example, if a document has a title, after performing OCR on it, the title should have a different formatting, in order to distinguish it from the rest of the text. This paper covers the topic of structure-aware OCR, first by describing the current state of OCR tools, then by showcasing a prototype tool capable of retaining the structure of articles scanned from an image. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Sofia G. Rodrigues dos Santos and J. João Dias de Almeida 2023 Is Part Of OASIcs, Volume 113, 12th Symposium on Languages, Applications and Technologies (SLATE 2023) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.SLATE.2023.8 urn:nbn:de:0030-drops-185220 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2023.8 eng https://creativecommons.org/licenses/by/4.0/legalcode