Computerized paleographic investigation of hebrew iron age Ostraca

Shira Faigenbaum-Golovin*, Arie Shaus, Barak Sober, Israel Finkelstein, David Levin, Murray Moinester, Eli Piasetzky, Eli Turkel

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

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.

Original languageAmerican English
Pages (from-to)317-325
Number of pages9
JournalRadiocarbon
Volume57
Issue number2
DOIs
StatePublished - 2015
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2015 by the Arizona Board of Regents on behalf of the University of Arizona.

Keywords

  • Epigraphy
  • Ostraca
  • Raman spectroscopy

Fingerprint

Dive into the research topics of 'Computerized paleographic investigation of hebrew iron age Ostraca'. Together they form a unique fingerprint.

Cite this