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Building A Handwritten Cuneiform Character Imageset

Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

DOI:10.63317/4hkn592xca45

Abstract

Digitization of cuneiform documents is important to boost the research activity on ancient Middle East and some projects have been launched in around 2,000. However, the digitization process is laborious due to the huge scale of the documents and no trustful (semi- )automatic method has established. In this paper, we focused on a cuneiform document digitization task, realization of Optical Character Recognition (OCR) method from the handwritten copies of original materials. Currently, as the first step toward development of such methods, we are constructing a handwritten cuneiform character imageset named with professional assistance. This imageset contains typical stroke patterns for handwriting each frequently appearing cuneiform character and will be able to support the development of handwritten cuneiform OCR system.

Details

Paper ID
lrec2018-main-115
Pages
N/A
BibKey
yamauchi-etal-2018-building
Editor
N/A
Publisher
European Language Resources Association (ELRA)
ISSN
2522-2686
ISBN
79-10-95546-00-9
Conference
Eleventh International Conference on Language Resources and Evaluation
Location
Miyazaki, Japan
Date
7 May 2018 12 May 2018

Authors

  • KY

    Kenji Yamauchi

  • HY

    Hajime Yamamoto

  • WM

    Wakaha Mori

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