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
Link To Document :
بازگشت