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KODYM, O. HRADIŠ, M.
Originální název
Page Layout Analysis System for Unconstrained Historic Documents
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Extraction of text regions and individual text lines from historic documents is necessary for automatic transcription. We propose extending a CNN-based text baseline detection system by adding line height and text block boundary predictions to the model output, allowing the system to extract more comprehensive layout information. We also show that pixel-wise text orientation prediction can be used for processing documents with multiple text orientations. We demonstrate that the proposed method performs well on the cBAD baseline detection dataset. Additionally, we benchmark the method on newly introduced PERO layout dataset which we also make public.
Klíčová slova
Layout analysis, Historic documents analysis, Text line extraction
Autoři
KODYM, O.; HRADIŠ, M.
Vydáno
2. 9. 2021
Nakladatel
Springer Nature Switzerland AG
Místo
Lausanne
ISBN
978-3-030-86330-2
Kniha
Lladós J., Lopresti D., Uchida S. (eds) Document Analysis and Recognition - ICDAR 2021
Edice
Lecture Notes in Computer Science
Strany od
492
Strany do
506
Strany počet
15
BibTex
@inproceedings{BUT175782, author="Oldřich {Kodym} and Michal {Hradiš}", title="Page Layout Analysis System for Unconstrained Historic Documents", booktitle="Lladós J., Lopresti D., Uchida S. (eds) Document Analysis and Recognition - ICDAR 2021", year="2021", series="Lecture Notes in Computer Science", pages="492--506", publisher="Springer Nature Switzerland AG", address="Lausanne", doi="10.1007/978-3-030-86331-9\{_}32", isbn="978-3-030-86330-2" }