Computerized paleographic investigation of hebrew iron age Ostraca


Journal Article

© 2015 by the Arizona Board of Regents on behalf of the University of Arizona. This article surveys ongoing research of the Legibility Enhancement of Ostraca (LEO) team of Tel Aviv University in the field of computerized paleography of Hebrew Iron Age ink-written ostraca. We perform paleographic tasks using tools from the fields of image processing and machine learning. Several new techniques serving this aim, as well as an adaptation of existing ones, are described herein. This includes testing a range of signal-acquisition methodologies, out of which multispectral imaging and Raman spectroscopy have matured into imaging systems. In addition, we deal with semi- or fully automated facsimile construction and refinement, facsimile, and character evaluation, as well as the reconstruction of broken character strokes. We conclude with future research directions, addressing some of the long-standing epigraphic questions, such as the number of scribes in specific corpora or detection of chronological concurrences and inconsistencies.

Full Text

Duke Authors

Cited Authors

  • Faigenbaum-Golovin, S; Shaus, A; Sober, B; Finkelstein, I; Levin, D; Moinester, M; Piasetzky, E; Turkel, E

Published Date

  • January 1, 2015

Published In

Volume / Issue

  • 57 / 2

Start / End Page

  • 317 - 325

International Standard Serial Number (ISSN)

  • 0033-8222

Digital Object Identifier (DOI)

  • 10.2458/azu_rc.57.18565

Citation Source

  • Scopus