Optical Character Recognition (OCR) and Artificial Intelligence in Digital Epigraphy (CROSBI ID 697084)
Prilog sa skupa u zborniku | sažetak izlaganja sa skupa
Podaci o odgovornosti
Ljubić, Toni
engleski
Optical Character Recognition (OCR) and Artificial Intelligence in Digital Epigraphy
Optical Character Recognition (OCR) and Artificial Intelligence (AI) are information technologies which started their life in the 1980s and have since then been applied for the digitalization of printed texts, as well as their editing, analysis, storage, and prediction. Today they are applied, along with the Computer Vision (CV) algorithms, for real-time text detection and translation. These technological breakthroughs were only recently introduced in the field of archaeology, and consequentially, epigraphy, thus replacing the text-bearing medium from paper to stone and clay. The vast improvement in technology (i.e., smartphones, tablets, digital cameras, etc.) provided researchers, as well as everybody else in the archaeological ecosystem, with the tools to access information at any given time in a matter of seconds. For example, OCR, AI, and CV enable the utilization of the photosensors of a smartphone as an input to the algorithm, whose goal is to match the photograph of an object made by the user, with the previously stored photographs and the information of the same object in the database. This alleviates the need for setting up physical info- points about epigraphs and inscriptions, which can sometimes be seen as an invasion of the archaeological site itself. Along with that, these technologies have also been used to analyze the text from epigraphs, as well as to reconstruct the inscriptions in the case of missing or damaged characters of whole parts of the inscription. This presentation will show current possibilities and features of OCR and AI methods, their application in various scenarios, such as visiting a museum or an archaeological site, but also in the inscription research and non-destructive reconstruction scenarios. As these technologies are being developed with a rapid pace, their future possibilities and usage in digital epigraphy will also be presented.
optical character recognition ; OCR ; artificial intelligence ; AI ; digital epigraphy
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Podaci o prilogu
29-30.
2020.
objavljeno
Podaci o matičnoj publikaciji
8th International Scientific Conference Methodology & Archaeometry - Book Of Abstracts
Miloglav, Ina
Zagreb: Faculty of Humanities and Social Sciences of the University of Zagreb ; Croatian Archaeological Society
978-953-175-882-6
Podaci o skupu
8th Scientific Conference Methodology & Archaeometry (MetArh)
predavanje
03.12.2020-04.12.2020
Zagreb, Hrvatska