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.
@InProceedings{YAMAUCHI18.374, author = {Kenji Yamauchi and Hajime Yamamoto and Wakaha Mori}, title = "{Building A Handwritten Cuneiform Character Imageset}", booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {May 7-12, 2018}, address = {Miyazaki, Japan}, editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga}, publisher = {European Language Resources Association (ELRA)}, isbn = {979-10-95546-00-9}, language = {english} }
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