Publication Details
Page Layout Analysis System for Unconstrained Historic Documents
Hradiš Michal, Ing., Ph.D. (DCGM)
Layout analysis, Historic documents analysis, Text line extraction
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.
@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"
}