DocumentCode
824128
Title
Automatic Writer Identification of Ancient Greek Inscriptions
Author
Panagopoulos, Michail ; Papaodysseus, Constantin ; Rousopoulos, Panayiotis ; Dafi, Dimitra ; Tracy, Stephen
Author_Institution
Sch. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Athens
Volume
31
Issue
8
fYear
2009
Firstpage
1404
Lastpage
1414
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 "platonicrdquo 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.
Keywords
archaeology; classification; history; maximum likelihood estimation; ancient Athenian inscription; ancient Greek inscription classification; archaeology; automatic writer identification; history; maximum likelihood; platonic prototype; statistical criteria; Handwriting analysis; Pattern Recognition; Pattern analysis; Writer identification; ancient Greek inscription classification; ancient Greek inscriptions classification; archaeology; feature modeling; handwriting analysis; handwriting classification; pattern recognition.; writer identification;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/TPAMI.2008.201
Filename
4586391
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