Identifying hands on ancient Athenian inscriptions: First steps towards a digital approach

Tracy, SV; Papaodysseus, C; Roussopoulos, P; Panagopoulos, M; Fragoulis, D; Dafi, D; Panagopoulos, TH

dc.contributor.author	Tracy, SV	en
dc.contributor.author	Papaodysseus, C	en
dc.contributor.author	Roussopoulos, P	en
dc.contributor.author	Panagopoulos, M	en
dc.contributor.author	Fragoulis, D	en
dc.contributor.author	Dafi, D	en
dc.contributor.author	Panagopoulos, TH	en
dc.date.accessioned	2014-03-01T01:26:27Z
dc.date.available	2014-03-01T01:26:27Z
dc.date.issued	2007	en
dc.identifier.issn	0003-813X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/18082
dc.subject	Automated classification of handwriting style	en
dc.subject	Automated inscriber identification	en
dc.subject	Automated letter-cutter identification	en
dc.subject	Handwriter identification	en
dc.subject	Statistical handwriting recognition	en
dc.subject.classification	Archaeology	en
dc.subject.classification	Chemistry, Analytical	en
dc.subject.classification	Chemistry, Inorganic & Nuclear	en
dc.subject.classification	Geosciences, Multidisciplinary	en
dc.subject.other	database	en
dc.subject.other	identification method	en
dc.subject.other	methodology	en
dc.subject.other	statistical distribution	en
dc.title	Identifying hands on ancient Athenian inscriptions: First steps towards a digital approach	en
heal.type	journalArticle	en
heal.identifier.primary	10.1111/j.1475-4754.2007.00333.x	en
heal.identifier.secondary	http://dx.doi.org/10.1111/j.1475-4754.2007.00333.x	en
heal.language	English	en
heal.publicationDate	2007	en
heal.abstract	In this paper, a novel methodology is introduced for the identification of the workmen (hands) that carved ancient inscriptions. This methodology employs specific geometric characteristics of each letter and computes the mean value and variance of these characteristics for each one of the available inscriptions separately. Subsequently, we define original decision thresholds that make use of the statistical distribution of the difference of these values in order to attribute an inscription to a given hand. The inscriptions of the hands under consideration have been properly processed and all information extracted, both visual and statistical, is stored in a suitable database. Application of this methodology to nine Athenian inscriptions, some of which contain very similar letters, offered correct, clear-cut hand identification. © University of Oxford, 2007.	en
heal.publisher	BLACKWELL PUBLISHING	en
heal.journalName	Archaeometry	en
dc.identifier.doi	10.1111/j.1475-4754.2007.00333.x	en
dc.identifier.isi	ISI:000250496200009	en
dc.identifier.volume	49	en
dc.identifier.issue	4	en
dc.identifier.spage	749	en
dc.identifier.epage	764	en