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Dating the Historical Documents from Digitalized Books by Orthography Recognition

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Digital Libraries and Archives (IRCDL 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 733))

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Abstract

This paper introduces a new method for automatically dating Serbian and Croatian historical documents. It is based on the concept that the documents in a certain script or language evolving in different historical periods are characterized by differences in orthography rules. Accordingly, we propose three stages of script coding, texture analysis and classification for capturing such a difference. Hence, the input document is transformed into a sequence of numerical codes, each representing an intensity value, determining an image. Then, texture analysis extracts features from the image to create a feature vector. Finally, it is classified for orthography recognition. Results obtained on two databases of historical documents in angular Glagolitic script and Slavonic-Serbian and Serbian languages extracted from digitalized books demonstrate the efficacy of the proposed method.

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Notes

  1. 1.

    http://stari.nsk.hr/home.aspx?id=24.

  2. 2.

    http://digitalna.nb.rs/.

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Authors and Affiliations

  1. Technical Faculty in Bor, University of Belgrade, V.J. 12, 19210, Bor, Serbia

    Darko Brodić

  2. DIMES, University of Calabria, Via Pietro Bucci Cube 44, 87036, Rende, CS, Italy

    Alessia Amelio

Authors
  1. Darko Brodić
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  2. Alessia Amelio
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Corresponding author

Correspondence to Darko Brodić .

Editor information

Editors and Affiliations

  1. University of Modena and Reggio Emilia, Modena, Italy

    Costantino Grana

  2. University of Modena and Reggio Emilia, Modena, Italy

    Lorenzo Baraldi

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Brodić, D., Amelio, A. (2017). Dating the Historical Documents from Digitalized Books by Orthography Recognition. In: Grana, C., Baraldi, L. (eds) Digital Libraries and Archives. IRCDL 2017. Communications in Computer and Information Science, vol 733. Springer, Cham. https://doi.org/10.1007/978-3-319-68130-6_10

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  • DOI: https://doi.org/10.1007/978-3-319-68130-6_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68129-0

  • Online ISBN: 978-3-319-68130-6

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