Character Segmentation in the Development of Palmyrene Aramaic OCR
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F23%3A97610" target="_blank" >RIV/60460709:41110/23:97610 - isvavai.cz</a>
Result on the web
<a href="https://www.researchgate.net/publication/374469082_Character_Segmentation_in_the_Development_of_Palmyrene_Aramaic_OCR" target="_blank" >https://www.researchgate.net/publication/374469082_Character_Segmentation_in_the_Development_of_Palmyrene_Aramaic_OCR</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-45010-5_7" target="_blank" >10.1007/978-3-031-45010-5_7</a>
Alternative languages
Result language
angličtina
Original language name
Character Segmentation in the Development of Palmyrene Aramaic OCR
Original language description
In this study, we present the research plan and the segmentation solution in progress for our Palmyrene OCR web and mobile application from sandstone tablet photographs, which will be publicly available on the ml-research.pef.czu.cz web portal in the next steps of the research. In this paper, we compare mathematical segmentation methods with artificial intelligence methods, highlighting the advantages and disadvantages of each solution, and propose a fully automated OCR procedure from photographs using convolutional neural networks exclusively and present a development model of our solution. We also present a partially completed segmentation dataset of the Palmyrene letters to demonstrate the functionality of the proposed procedure. We hope to complete the Palmyrene OCR soon, thus making the writings of ancient Palmyra accessible to the scientific community and the public, signifying progress in the area of Digital Humanities. Since the algorithm is not completely ready yet, we also present its development model here.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Model-Driven Organizational and Business Agility
ISBN
978-3-031-45010-5
ISSN
1865-1356
e-ISSN
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Number of pages
16
Pages from-to
80-95
Publisher name
Springer
Place of publication
Cham, Switzerland
Event location
Zaragoza, Spain
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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