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Historical Map Toponym Extraction for Efficient Information Retrieval

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Document Analysis Systems (DAS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13237))

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Abstract

The paper deals with detection, classification and recognition of toponyms in hand-drawn historical cadastral maps. Toponyms are local names of towns, villages and landscape features such as rivers, forests etc. The detected and recognized toponyms are utilized as keywords in an information retrieval system that allows intelligent and efficient searching in historical map collections. We create a novel annotated dataset that is freely available for research and educational purposes. Then, we propose a novel approach for toponym classification based on KAZE descriptor. Next we compare and evaluate several state-of-the-art methods for text and object detection on our toponym detection task. We further show the results of toponym text recognition using popular Tesseract engine.

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Notes

  1. 1.

    https://www.cuzk.cz/.

  2. 2.

    The Czech Republic was a part of the Austria-Hungary Empire until 1918.

  3. 3.

    https://corpora.kiv.zcu.cz/nomenclature/.

  4. 4.

    https://github.com/tesseract-ocr/.

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Acknowledgements

This work has been partly supported from ERDF “Research and Development of Intelligent Components of Advanced Technologies for the Pilsen Metropolitan Area (InteCom)” (no.: CZ.02.1.01/0.0/0.0/17_048/0007267) and by Grant No. SGS-2022-016 “Advanced methods of data processing and analysis”.

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Faculty of Applied Sciences, University of West Bohemia, Plzeň, Czech Republic

    Ladislav Lenc, Jiří Martínek, Josef Baloun, Martin Prantl & Pavel Král

  2. NTIS - New Technologies for the Information Society, Faculty of Applied Sciences, University of West Bohemia, Plzeň, Czech Republic

    Ladislav Lenc, Jiří Martínek, Josef Baloun, Martin Prantl & Pavel Král

Authors
  1. Ladislav Lenc
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  2. Jiří Martínek
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  3. Josef Baloun
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  4. Martin Prantl
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  5. Pavel Král
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Corresponding author

Correspondence to Ladislav Lenc .

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Editors and Affiliations

  1. Kyushu University, Fukuoka, Japan

    Seiichi Uchida

  2. Boise State University, BOISE, ID, USA

    Elisa Barney

  3. LIRIS UMR CNRS, Villeurbanne, France

    Véronique Eglin

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Lenc, L., Martínek, J., Baloun, J., Prantl, M., Král, P. (2022). Historical Map Toponym Extraction for Efficient Information Retrieval. In: Uchida, S., Barney, E., Eglin, V. (eds) Document Analysis Systems. DAS 2022. Lecture Notes in Computer Science, vol 13237. Springer, Cham. https://doi.org/10.1007/978-3-031-06555-2_12

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  • DOI: https://doi.org/10.1007/978-3-031-06555-2_12

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  • Online ISBN: 978-3-031-06555-2

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