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ChronSeg: Novel dataset for segmentation of handwritten historical chronicles

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43962097" target="_blank" >RIV/49777513:23520/21:43962097 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.researchgate.net/publication/349201748_ChronSeg_Novel_Dataset_for_Segmentation_of_Handwritten_Historical_Chronicles" target="_blank" >https://www.researchgate.net/publication/349201748_ChronSeg_Novel_Dataset_for_Segmentation_of_Handwritten_Historical_Chronicles</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5220/0010317203140322" target="_blank" >10.5220/0010317203140322</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    ChronSeg: Novel dataset for segmentation of handwritten historical chronicles

  • Original language description

    The segmentation of document images plays an important role in the process of making their content electronically accessible. This work focuses on the segmentation of historical handwritten documents, namely chronicles. We take image, text and background classes into account. For this goal, a new dataset is created mainly from chronicles provided by Porta fontium. In total, the dataset consists of 58 images of document pages and their precise annotations for text, image and graphic regions in PAGE format. The annotations are also provided at a pixel level. Further, we present a baseline evaluation using an approach based on a fully convolutional neural network. We also perform a series of experiments in order to identify the best method configuration. It includes a novel data augmentation method which creates artificial pages.

  • 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

  • Continuities

    O - Projekt operacniho programu

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    ICAART 2021 - Proceedings of the 13th International Conference on Agents and Artificial Intelligence

  • ISBN

    978-989-758-484-8

  • ISSN

    2184-433X

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    314-322

  • Publisher name

    ScitePress

  • Place of publication

    Setúbal

  • Event location

    Online Streaming

  • Event date

    Feb 4, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000661455800031