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Classification of Phonetic Characters by Space-Filling Curves

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Document Analysis Systems (DAS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12116))

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Abstract

Ancient printed documents are an infinite source of knowledge, but digital uses are usually complicated due to the age and the quality of the print. The Linguistic Atlas of France (ALF) maps are composed of printed phonetic words used to locate how words were pronounced over the country. Those words were printed using the Rousselot-Gillieron alphabet (extension of Latin alphabet) which bring character recognition problems due to the large number of diacritics. In this paper, we propose a phonetic character recognition process based on a space-filling curves approach. We proposed an original method adapted to this particular data set, able to finely classify, with more than 70% of accuracy, noisy and specific characters.

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Notes

  1. 1.

    Maps dataset available at http://lig-tdcge.imag.fr/cartodialect5.

  2. 2.

    The phonetics characters images dataset is available here: http://l3i-share.univ-lr.fr/datasets/Dataset_CharRousselotGillerion.zip.

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Acknowledgment

This work is carried out in the framework of the ECLATS project and supported by the French National Research Agency (ANR) under the grant number ANR-15-CE38-0002.

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Authors and Affiliations

  1. Laboratoire L3i, University of La Rochelle, 17042, La Rochelle Cedex 1, France

    Valentin Owczarek, Jordan Drapeau, Jean-Christophe Burie, Patrick Franco, Mickaël Coustaty & Rémy Mullot

  2. Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, 69621, Villeurbanne, France

    Véronique Eglin

Authors
  1. Valentin Owczarek
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  2. Jordan Drapeau
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  3. Jean-Christophe Burie
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  4. Patrick Franco
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  5. Mickaël Coustaty
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  6. Rémy Mullot
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  7. Véronique Eglin
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Corresponding author

Correspondence to Valentin Owczarek .

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Editors and Affiliations

  1. Huazhong University of Science and Technology, Wuhan, China

    Xiang Bai

  2. Autonomous University of Barcelona, Barcelona, Spain

    Dimosthenis Karatzas

  3. Lehigh University, Bethlehem, PA, USA

    Daniel Lopresti

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Owczarek, V. et al. (2020). Classification of Phonetic Characters by Space-Filling Curves. In: Bai, X., Karatzas, D., Lopresti, D. (eds) Document Analysis Systems. DAS 2020. Lecture Notes in Computer Science(), vol 12116. Springer, Cham. https://doi.org/10.1007/978-3-030-57058-3_7

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  • DOI: https://doi.org/10.1007/978-3-030-57058-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57057-6

  • Online ISBN: 978-3-030-57058-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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