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dc.contributor.advisorNederhof, Mark-Jan
dc.contributor.authorSampath, Vinodh Rajan
dc.coverage.spatialx, 209 p.en_US
dc.description.abstractWe propose a novel approach for analyzing scribal behavior quantitatively using information about the handwriting of characters. To implement this approach, we develop a computational framework that recovers this information and decomposes the characters into primitives (called strokes) to create a hierarchically structured representation. We then propose a number of intuitive metrics quantifying various facets of scribal behavior, which are derived from the recovered information and character structure. We further propose the use of techniques modeling the generation of handwriting to directly study the changes in writing behavior. We then present a case study in which we use our framework and metrics to analyze the development of four major Indic scripts. We show that our framework and metrics coupled with appropriate statistical methods can provide great insight into scribal behavior by discovering specific trends and phenomena with quantitative methods. We also illustrate the use of handwriting modeling techniques in this context to study the divergence of the Brahmi script into two daughter scripts. We conduct a user study with domain experts to evaluate our framework and salient results from the case study, and we elaborate on the results of this evaluation. Finally, we present our conclusions and discuss the limitations of our research along with future work that needs to be done.en_US
dc.publisherUniversity of St Andrews
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.subjectDigital paleographyen_US
dc.subjectDigital palaeographyen_US
dc.subjectManuscript studiesen_US
dc.subjectDigital humanitiesen_US
dc.subjectQuantitative paleographyen_US
dc.subjectQuantitative palaeographyen_US
dc.subjectQuantitative analysisen_US
dc.subjectWriting systemsen_US
dc.subjectAnalysis of writing systemsen_US
dc.subjectAnalysis of scriptsen_US
dc.subject.lcshPaleography--Data processingen_US
dc.subject.lcshIndus script--History--Data processingen_US
dc.subject.lcshBrahmi alphabet--History--Data processingen_US
dc.titleQuantifying scribal behavior : a novel approach to digital paleographyen_US
dc.contributor.sponsorScottish Informatics and Computer Science Alliance (SICSA)en_US
dc.type.qualificationnamePhD Doctor of Philosophyen_US
dc.publisher.institutionThe University of St Andrewsen_US

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