Laypa: A Novel Framework for Applying Segmentation Networks to Historical Documents

Stefan Klut; Rutger Koert, van; R.G.H. Sluijter

Laypa: A Novel Framework for Applying Segmentation Networks to Historical Documents

Stefan Klut, Rutger Koert, van, R.G.H. Sluijter

Onderzoeksoutput: Bijdrage aan conferentie › Paper › Wetenschappelijk › peer review

1 Citaat (Scopus)

Samenvatting

We present novel software to process scans of historical documents to extract their layout information.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 The results show the feasibility to automatically label text lines and regions in historical documents.

Originele taal-2	Engels
Pagina's	67-72
Aantal pagina's	6
Status	Gepubliceerd - 25 aug. 2023
Evenement	HIP '23: Proceedings of the 7th International Workshop on Historical Document Imaging and Processing - San José, California, San José, Verenigde Staten Duur: 25 aug. 2023 → 26 aug. 2023 https://dl.acm.org/doi/proceedings/10.1145/3604951

Conferentie

Conferentie	HIP '23
Verkorte titel	HIP '23
Land/Regio	Verenigde Staten
Stad	San José
Periode	25/08/2023 → 26/08/2023
Internet adres	https://dl.acm.org/doi/proceedings/10.1145/3604951

Andere bestanden en links

https://dl.acm.org/doi/abs/10.1145/3604951.3605520

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title = "Laypa: A Novel Framework for Applying Segmentation Networks to Historical Documents",

abstract = "We present novel software to process scans of historical documents to extract their layout information.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 The results show the feasibility to automatically label text lines and regions in historical documents.",

keywords = "Datasets, historical documents, Neural networks, layout analysis",

author = "Stefan Klut and {Koert, van}, Rutger and R.G.H. Sluijter",

year = "2023",

month = aug,

day = "25",

language = "English",

pages = "67--72",

note = "HIP '23 : Proceedings of the 7th International Workshop on Historical Document Imaging and Processing, HIP '23 ; Conference date: 25-08-2023 Through 26-08-2023",

url = "https://dl.acm.org/doi/proceedings/10.1145/3604951",

}

TY - CONF

T1 - Laypa: A Novel Framework for Applying Segmentation Networks to Historical Documents

AU - Klut, Stefan

AU - Koert, van, Rutger

AU - Sluijter, R.G.H.

PY - 2023/8/25

Y1 - 2023/8/25

N2 - 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.

AB - 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.

KW - Datasets

KW - historical documents

KW - Neural networks

KW - layout analysis

UR - https://dl.acm.org/doi/abs/10.1145/3604951.3605520

M3 - Paper

SP - 67

EP - 72

T2 - HIP '23

Y2 - 25 August 2023 through 26 August 2023

ER -

Laypa: A Novel Framework for Applying Segmentation Networks to Historical Documents

Samenvatting

Conferentie

Andere bestanden en links

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