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Automatic Writer Identification of Ancient Greek Inscriptions
August 2009 (vol. 31 no. 8)
pp. 1404-1414
ASCII Text
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Michail Panagopoulos, Constantin Papaodysseus, Panayiotis Rousopoulos, Dimitra Dafi, Stephen Tracy, "Automatic Writer Identification of Ancient Greek Inscriptions," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 8, pp. 1404-1414, August, 2009.
 
 
BibTex
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@article{ 10.1109/TPAMI.2008.201,
author = {Michail Panagopoulos and Constantin Papaodysseus and Panayiotis Rousopoulos and Dimitra Dafi and Stephen Tracy},
title = {Automatic Writer Identification of Ancient Greek Inscriptions},
journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {31},
number = {8},
issn = {0162-8828},
year = {2009},
pages = {1404-1414},
doi = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2008.201},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
TI - Automatic Writer Identification of Ancient Greek Inscriptions
IS - 8
SN - 0162-8828
SP1404
EP1414
EPD - 1404-1414
A1 - Michail Panagopoulos,
A1 - Constantin Papaodysseus,
A1 - Panayiotis Rousopoulos,
A1 - Dimitra Dafi,
A1 - Stephen Tracy,
PY - 2009
KW - Writer identification
KW - handwriting classification
KW - ancient Greek inscription classification
KW - handwriting analysis
KW - archaeology
KW - feature modeling
KW - pattern recognition.
VL - 31
JA - IEEE Transactions on Pattern Analysis and Machine Intelligence
ER -
 
Michail Panagopoulos, National Technical University of Athens, Athens
Constantin Papaodysseus, National Technical University of Athens, Athens
Panayiotis Rousopoulos, National Techncal University of Athens, Athens
Dimitra Dafi, National Technical University of Athens, Athens
Stephen Tracy, American School of Classical Studies at Athens, Athens
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.

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Index Terms:
Writer identification, handwriting classification, ancient Greek inscription classification, handwriting analysis, archaeology, feature modeling, pattern recognition.
Citation:
Michail Panagopoulos, Constantin Papaodysseus, Panayiotis Rousopoulos, Dimitra Dafi, Stephen Tracy, "Automatic Writer Identification of Ancient Greek Inscriptions," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 8, pp. 1404-1414, Aug. 2009, doi:10.1109/TPAMI.2008.201
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