Detail publikace

Page Layout Analysis System for Unconstrained Historic Documents

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"
}