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CITATION.cff
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# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
Laypa: A Novel Framework for Applying Segmentation
Networks to Historical Documents
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Stefan
family-names: Klut
affiliation: Humanities Cluster KNAW
orcid: "https://orcid.org/0000-0002-1957-2442"
email: stefanklut@outlook.com
- given-names: Rutger
name-particle: van
family-names: Koert
email: r.c.van.koert@gmail.com
affiliation: Humanities Cluster KNAW
orcid: "https://orcid.org/0000-0001-6535-2849"
- given-names: Ronald
family-names: Sluijter
email: ronald.sluijter@huygens.knaw.nl
affiliation: Huygens Institute
orcid: "https://orcid.org/0000-0002-2896-9986"
identifiers:
- type: doi
value: 10.1145/3604951.3605520
description: DOI of the ACM publication
- type: url
value: "https://github.com/stefanklut/laypa"
description: Github repo
repository-code: "https://github.com/stefanklut/laypa"
abstract: "We present novel software to process scans of historical documents to extract their layout information. We do this using a ResNet backbone with a feature pyramid head. We extract region information directly into PageXML. For baseline extraction, we use a two stage processing approach. The software has been applied successfully to several projects. The results show the feasibility to automatically label text lines and regions in historical documents."
keywords:
- Datasets
- Neural networks
- Layout analysis
- Historical documents
license: MIT
preferred-citation:
type: conference-paper
title: "Laypa: A Novel Framework for Applying Segmentation Networks to Historical Documents"
authors:
- given-names: Stefan
family-names: Klut
affiliation: Humanities Cluster KNAW
orcid: "https://orcid.org/0000-0002-1957-2442"
email: stefanklut@outlook.com
- given-names: Rutger
name-particle: van
family-names: Koert
email: r.c.van.koert@gmail.com
affiliation: Humanities Cluster KNAW
orcid: "https://orcid.org/0000-0001-6535-2849"
- given-names: Ronald
family-names: Sluijter
email: ronald.sluijter@huygens.knaw.nl
affiliation: Huygens Institute
orcid: "https://orcid.org/0000-0002-2896-9986"
year: 2023
doi: 10.1145/3604951.3605520
isbn: 9798400708411
publisher: Association for Computing Machinery
abstract: "We present novel software to process scans of historical documents to extract their layout information. We do this using a ResNet backbone with a feature pyramid head. We extract region information directly into PageXML. For baseline extraction, we use a two stage processing approach. The software has been applied successfully to several projects. The results show the feasibility to automatically label text lines and regions in historical documents."
conference:
name: "Proceedings of the 7th International Workshop on Historical Document Imaging and Processing"
place: "San Jose, CA, USA"
series: "HIP '23"
pages: "67-72"
keywords:
["neural networks", "layout analysis", "historical documents", "datasets"]