Abstract
We introduce a new open-source web application for the collaborative annotation and study of hieratic texts, in the form of facsimiles and/or photographs. Functionality includes the automatic classification of occurrences of hieratic signs in Unicode, aided by image processing and optical character recognition techniques. Relying on various forms of dimensionality reduction, the tool also allows visualization of differences in sign shapes between texts, periods, genres, and geographical areas. This is motivated by recent work that demonstrated the value of dimensionality reduction for such purposes as identifying scribal hands. The interactive user interface can also be used for teaching students to read hieratic.
Original language | English |
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Title of host publication | Document analysis and recognition – ICDAR 2023 workshops |
Subtitle of host publication | San José, CA, USA, August 24–26, 2023, Proceedings, Part I |
Editors | Mickael Coustaty, Alicia Fornés |
Place of Publication | Cham |
Publisher | Springer |
Pages | 267-283 |
Number of pages | 17 |
ISBN (Electronic) | 9783031414985 |
ISBN (Print) | 9783031414978 |
DOIs | |
Publication status | Published - 15 Aug 2023 |
Event | ICDAR 2023 Workshop on Computational Paleography (2nd edition) - San Jose, United States Duration: 24 Aug 2023 → 24 Aug 2023 https://www.csmc.uni-hamburg.de/iwcp2023.html |
Publication series
Name | Lecture Notes in Computer Science |
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Volume | 14193 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | ICDAR 2023 Workshop on Computational Paleography (2nd edition) |
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Abbreviated title | IWCP 2023 |
Country/Territory | United States |
City | San Jose |
Period | 24/08/23 → 24/08/23 |
Internet address |
Keywords
- Hieratic
- OCR
- Dimensionality reduction
- Visualization