Literature DB >> 19542575

Automatic writer identification of ancient Greek inscriptions.

Michail Panagopoulos1, Constantin Papaodysseus, Panayiotis Rousopoulos, Dimitra Dafi, Stephen Tracy.   

Abstract

This paper introduces a novel methodology for the classification of ancient Greek inscriptions according to the writer who carved them. Inscription writer identification is crucial for dating the written content, which in turn is of fundamental importance in the sciences of history and archaeology. To achieve this, we first compute an ideal or "platonic" prototype for the letters of each inscription separately. Next, statistical criteria are introduced to reject the hypothesis that two inscriptions are carved by the same writer. In this way, we can determine the number of distinct writers who carved a given ensemble of inscriptions. Next, maximum likelihood considerations are employed to attribute all inscriptions in the collection to the respective writers. The method has been applied to 24 Ancient Athenian inscriptions and attributed these inscriptions to six different identified hands in full accordance with expert epigraphists' opinions.

Year:  2009        PMID: 19542575     DOI: 10.1109/TPAMI.2008.201

Source DB:  PubMed          Journal:  IEEE Trans Pattern Anal Mach Intell        ISSN: 0098-5589            Impact factor:   6.226


  2 in total

1.  Algorithmic handwriting analysis of Judah's military correspondence sheds light on composition of biblical texts.

Authors:  Shira Faigenbaum-Golovin; Arie Shaus; Barak Sober; David Levin; Nadav Na'aman; Benjamin Sass; Eli Turkel; Eli Piasetzky; Israel Finkelstein
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-11       Impact factor: 11.205

2.  Algorithmic handwriting analysis of the Samaria inscriptions illuminates bureaucratic apparatus in biblical Israel.

Authors:  Shira Faigenbaum-Golovin; Arie Shaus; Barak Sober; Eli Turkel; Eli Piasetzky; Israel Finkelstein
Journal:  PLoS One       Date:  2020-01-22       Impact factor: 3.240

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.