Collaborative annotation and computational analysis of hieratic

Julius Tabin, Mark Jan Nederhof*, Christian Casey

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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 languageEnglish
Title of host publicationDocument analysis and recognition – ICDAR 2023 workshops
Subtitle of host publicationSan José, CA, USA, August 24–26, 2023, Proceedings, Part I
EditorsMickael Coustaty, Alicia Fornés
Place of PublicationCham
Number of pages17
ISBN (Electronic)9783031414985
ISBN (Print)9783031414978
Publication statusPublished - 15 Aug 2023
EventICDAR 2023 Workshop on Computational Paleography (2nd edition) - San Jose, United States
Duration: 24 Aug 202324 Aug 2023

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceICDAR 2023 Workshop on Computational Paleography (2nd edition)
Abbreviated titleIWCP 2023
Country/TerritoryUnited States
CitySan Jose
Internet address


  • Hieratic
  • OCR
  • Dimensionality reduction
  • Visualization


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