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    HTR of Handwritten Paleographic Greek Text as a Function of Chronology

    Par Platanou Paraskevi (Athens University of Economics and Business).

    Today classicists are provided with a large number of digital tools which, in turn, offer possibilities for further study and new research goals. In this paper, we explore the idea that old Greek handwriting can be machine-readable and consequently, researchers can study the target material fast and efficiently. The overall aim of this paper is to assess HTR for old Greek manuscripts. To address this statement, we study and use images of the Oxford University Bodleian Library Greek manuscripts. By manually transcribing images, we have created and present here a new dataset for Handwritten Paleographic Greek Text Recognition. The dataset instances have been organized by establishing as a leading factor the century to which the manuscript and hence the image belongs. In this way, the HTR performance can reveal century-specific challenges when it comes to Handwritten Paleographic Greek Text Recognition.

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