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Text Line Segmentation in Historical Newspapers

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43968531" target="_blank" >RIV/49777513:23520/22:43968531 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-031-23480-4_3" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-23480-4_3</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-23480-4_3" target="_blank" >10.1007/978-3-031-23480-4_3</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Text Line Segmentation in Historical Newspapers

  • Original language description

    The paper deals with text line segmentation in historical newspapers. We propose a novel approach which decomposes this problem into two steps: text-block and text-line segmentation. The method should solve issues that may appear in a more commonly used one-step approach. The particular tasks are handled using fully convolutional neural networks. The approach is evaluated on two standard corpora, Europeana and RDCL 2019, and on a novel dataset created from data available in Porta fontium portal. This dataset is freely available for research purposes.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/EF17_048%2F0007267" target="_blank" >EF17_048/0007267: Research and Development of Intelligent Components of Advanced Technologies for the Pilsen Metropolitan Area (InteCom)</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Artificial Intelligence and Soft Computing

  • ISBN

    978-3-031-23479-8

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    14

  • Pages from-to

    35-48

  • Publisher name

    Springer Nature Switzerland AG

  • Place of publication

    Cham

  • Event location

    Zakopane, Polsko

  • Event date

    Jun 19, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000972697500003