Unlocking textual content from historical maps - Potentials and applications, trends, and outlooks

Yao Yi Chiang

doi:10.1007/978-981-10-4859-3_11

Unlocking textual content from historical maps - Potentials and applications, trends, and outlooks

Yao Yi Chiang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

Abstract

Digital map processing has been an interest in the image processing and pattern recognition community since the early 80s. With the exponential growth of available map scans in the archives and on the internet, a variety of disciplines in the natural and social sciences grow interests in using historical maps as a primary source of geographical and political information in their studies. Today, many organizations such as the United States Geological Survey, David Rumsey Map Collection, OldMapsOnline.org, and National Library of Scotland, store numerous historical maps in either paper or scanned format. Only a small portion of these historical maps is georeferenced, and even fewer of them have machine-readable content or comprehensive metadata. The lack of a searchable textual content including the spatial and temporal information prevents researchers from efficiently finding relevant maps for their research and using the map content in their studies. These challenges present a tremendous collaboration opportunity for the image processing and pattern recognition community to build advance map processing technologies for transforming the natural and social science studies that use historical maps. This paper presents the potentials of using historical maps in scientific research, describes the current trends and challenges in extracting and recognizing text content from historical maps, and discusses the future outlook.

Original language	English (US)
Title of host publication	Recent Trends in Image Processing and Pattern Recognition - 1st International Conference, RTIP2R 2016, Revised Selected Papers
Editors	Mallikarjun Hangarge, Atul Negi, Vitoantonio Bevilacqua, K.C. Santosh
Publisher	Springer Verlag
Pages	111-124
Number of pages	14
ISBN (Print)	9789811048586
DOIs	https://doi.org/10.1007/978-981-10-4859-3_11
State	Published - 2017
Externally published	Yes
Event	1st International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2016 - Bidar, India Duration: Dec 16 2016 → Dec 17 2016

Publication series

Name	Communications in Computer and Information Science
Volume	709
ISSN (Print)	1865-0929

Conference

Conference	1st International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2016
Country/Territory	India
City	Bidar
Period	12/16/16 → 12/17/16

Bibliographical note

Funding Information:
This research is based upon work supported in part by the National Science Foundation under award number IIS-1564164 and in part by the University of Southern California under the Undergraduate Research Associates Program (URAP). The author thanks Travis Longcore for his input on the biology studies and the U.S. National Committee (USNC) to the International Cartographic Association (ICA) for providing travel funding to attend the 27th International Cartographic Conference (ICC).

Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2017.

Keywords

Biology
Digital map processing
Geographic information system
Historical maps
Natural science
Optical character recognition
Social science
Spatial humanity
Text recognition

Publisher link

10.1007/978-981-10-4859-3_11

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Cite this

Chiang, Y. Y. (2017). Unlocking textual content from historical maps - Potentials and applications, trends, and outlooks. In M. Hangarge, A. Negi, V. Bevilacqua, & K. C. Santosh (Eds.), Recent Trends in Image Processing and Pattern Recognition - 1st International Conference, RTIP2R 2016, Revised Selected Papers (pp. 111-124). (Communications in Computer and Information Science; Vol. 709). Springer Verlag. https://doi.org/10.1007/978-981-10-4859-3_11

Unlocking textual content from historical maps - Potentials and applications, trends, and outlooks. / Chiang, Yao Yi.
Recent Trends in Image Processing and Pattern Recognition - 1st International Conference, RTIP2R 2016, Revised Selected Papers. ed. / Mallikarjun Hangarge; Atul Negi; Vitoantonio Bevilacqua; K.C. Santosh . Springer Verlag, 2017. p. 111-124 (Communications in Computer and Information Science; Vol. 709).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chiang, YY 2017, Unlocking textual content from historical maps - Potentials and applications, trends, and outlooks. in M Hangarge, A Negi, V Bevilacqua & KC Santosh (eds), Recent Trends in Image Processing and Pattern Recognition - 1st International Conference, RTIP2R 2016, Revised Selected Papers. Communications in Computer and Information Science, vol. 709, Springer Verlag, pp. 111-124, 1st International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2016, Bidar, India, 12/16/16. https://doi.org/10.1007/978-981-10-4859-3_11

Chiang YY. Unlocking textual content from historical maps - Potentials and applications, trends, and outlooks. In Hangarge M, Negi A, Bevilacqua V, Santosh KC, editors, Recent Trends in Image Processing and Pattern Recognition - 1st International Conference, RTIP2R 2016, Revised Selected Papers. Springer Verlag. 2017. p. 111-124. (Communications in Computer and Information Science). doi: 10.1007/978-981-10-4859-3_11

Chiang, Yao Yi. / Unlocking textual content from historical maps - Potentials and applications, trends, and outlooks. Recent Trends in Image Processing and Pattern Recognition - 1st International Conference, RTIP2R 2016, Revised Selected Papers. editor / Mallikarjun Hangarge ; Atul Negi ; Vitoantonio Bevilacqua ; K.C. Santosh . Springer Verlag, 2017. pp. 111-124 (Communications in Computer and Information Science).

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Unlocking textual content from historical maps - Potentials and applications, trends, and outlooks

Abstract

Publication series

Conference

Bibliographical note

Keywords

Publisher link

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