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Pregled bibliografske jedinice broj: 1095142

Optical Character Recognition (OCR) and Artificial Intelligence in Digital Epigraphy


Ljubić, Toni
Optical Character Recognition (OCR) and Artificial Intelligence in Digital Epigraphy // 8th International Scientific Conference Methodology & Archaeometry - Book Of Abstracts / Miloglav, Ina (ur.).
Zagreb: Faculty of Humanities and Social Sciences of the University of Zagreb ; Croatian Archaeological Society, 2020. str. 29-30 (predavanje, nije recenziran, sažetak, znanstveni)


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Naslov
Optical Character Recognition (OCR) and Artificial Intelligence in Digital Epigraphy

Autori
Ljubić, Toni

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
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, 2020, 29-30

ISBN
978-953-175-882-6

Skup
8th International Scientific Conference Methodology & Archaeometry

Mjesto i datum
Zagreb, Republika Hrvatska, 3-4.12.2020

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Nije recenziran

Ključne riječi
optical character recognition ; OCR ; artificial intelligence ; AI ; digital epigraphy

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti, Arheologija



POVEZANOST RADA


Ustanove:
Sveučilište u Splitu Sveučilišni odjel za forenzične znanosti

Profili:

Avatar Url Toni Ljubić (autor)

Citiraj ovu publikaciju

Ljubić, Toni
Optical Character Recognition (OCR) and Artificial Intelligence in Digital Epigraphy // 8th International Scientific Conference Methodology & Archaeometry - Book Of Abstracts / Miloglav, Ina (ur.).
Zagreb: Faculty of Humanities and Social Sciences of the University of Zagreb ; Croatian Archaeological Society, 2020. str. 29-30 (predavanje, nije recenziran, sažetak, znanstveni)
Ljubić, T. (2020) Optical Character Recognition (OCR) and Artificial Intelligence in Digital Epigraphy. U: Miloglav, I. (ur.)8th International Scientific Conference Methodology & Archaeometry - Book Of Abstracts.
@article{article, author = {Ljubi\'{c}, T.}, editor = {Miloglav, I.}, year = {2020}, pages = {29-30}, keywords = {optical character recognition, OCR, artificial intelligence, AI, digital epigraphy}, isbn = {978-953-175-882-6}, title = {Optical Character Recognition (OCR) and Artificial Intelligence in Digital Epigraphy}, keyword = {optical character recognition, OCR, artificial intelligence, AI, digital epigraphy}, publisher = {Faculty of Humanities and Social Sciences of the University of Zagreb ; Croatian Archaeological Society}, publisherplace = {Zagreb, Republika Hrvatska} }
@article{article, author = {Ljubi\'{c}, T.}, editor = {Miloglav, I.}, year = {2020}, pages = {29-30}, keywords = {optical character recognition, OCR, artificial intelligence, AI, digital epigraphy}, isbn = {978-953-175-882-6}, title = {Optical Character Recognition (OCR) and Artificial Intelligence in Digital Epigraphy}, keyword = {optical character recognition, OCR, artificial intelligence, AI, digital epigraphy}, publisher = {Faculty of Humanities and Social Sciences of the University of Zagreb ; Croatian Archaeological Society}, publisherplace = {Zagreb, Republika Hrvatska} }




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