Automatic writer identification of ancient greek inscriptions

Panagopoulos, M; Papaodysseus, C; Rousopoulos, P; Dafi, D; Tracy, S

dc.contributor.author	Panagopoulos, M	en
dc.contributor.author	Papaodysseus, C	en
dc.contributor.author	Rousopoulos, P	en
dc.contributor.author	Dafi, D	en
dc.contributor.author	Tracy, S	en
dc.date.accessioned	2014-03-01T01:29:54Z
dc.date.available	2014-03-01T01:29:54Z
dc.date.issued	2009	en
dc.identifier.issn	0162-8828	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19399
dc.subject	Ancient Greek inscription classification	en
dc.subject	Archaeology	en
dc.subject	Feature modeling	en
dc.subject	Handwriting analysis	en
dc.subject	Handwriting classification	en
dc.subject	Pattern recognition	en
dc.subject	Writer identification	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Ancient Greek inscription classification	en
dc.subject.other	Archaeology	en
dc.subject.other	Feature modeling	en
dc.subject.other	Handwriting analysis	en
dc.subject.other	Handwriting classification	en
dc.subject.other	Writer identification	en
dc.subject.other	History	en
dc.subject.other	Pattern recognition	en
dc.subject.other	Maximum likelihood estimation	en
dc.title	Automatic writer identification of ancient greek inscriptions	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/TPAMI.2008.201	en
heal.identifier.secondary	http://dx.doi.org/10.1109/TPAMI.2008.201	en
heal.language	English	en
heal.publicationDate	2009	en
heal.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. © 2009 IEEE.	en
heal.publisher	IEEE COMPUTER SOC	en
heal.journalName	IEEE Transactions on Pattern Analysis and Machine Intelligence	en
dc.identifier.doi	10.1109/TPAMI.2008.201	en
dc.identifier.isi	ISI:000267050600005	en
dc.identifier.volume	31	en
dc.identifier.issue	8	en
dc.identifier.spage	1404	en
dc.identifier.epage	1414	en