Collaborative annotation and computational analysis of hieratic

Julius Tabin; Mark Jan Nederhof; Christian Casey

doi:10.1007/978-3-031-41498-5_19

Collaborative annotation and computational analysis of hieratic

Julius Tabin, Mark Jan Nederhof^*, Christian Casey

^*Corresponding author for this work

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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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
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	https://doi.org/10.1007/978-3-031-41498-5_19
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
Volume	14193
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	ICDAR 2023 Workshop on Computational Paleography (2nd edition)
Abbreviated title	IWCP 2023
Country/Territory	United States
City	San Jose
Period	24/08/23 → 24/08/23
Internet address	https://www.csmc.uni-hamburg.de/iwcp2023.html

Keywords

Hieratic
OCR
Dimensionality reduction
Visualization

Access to Document

10.1007/978-3-031-41498-5_19

Tabin-2023-Collaborative-annotation-and-ICDAR2023W-AAM
Copyright The Author(s), under exclusive license to Springer Nature Switzerland AG 2023. This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the author created accepted manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1007/978-3-031-41498-5_19.
Accepted author manuscript, 1.4 MB

Cite this

Tabin, J., Nederhof, M. J., & Casey, C. (2023). Collaborative annotation and computational analysis of hieratic. In M. Coustaty, & A. Fornés (Eds.), Document analysis and recognition – ICDAR 2023 workshops: San José, CA, USA, August 24–26, 2023, Proceedings, Part I (pp. 267-283). (Lecture Notes in Computer Science; Vol. 14193). Springer. https://doi.org/10.1007/978-3-031-41498-5_19

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keywords = "Hieratic, OCR, Dimensionality reduction, Visualization",

author = "Julius Tabin and Nederhof, {Mark Jan} and Christian Casey",

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note = "ICDAR 2023 Workshop on Computational Paleography (2nd edition), IWCP 2023 ; Conference date: 24-08-2023 Through 24-08-2023",

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Tabin, J, Nederhof, MJ & Casey, C 2023, Collaborative annotation and computational analysis of hieratic. in M Coustaty & A Fornés (eds), Document analysis and recognition – ICDAR 2023 workshops: San José, CA, USA, August 24–26, 2023, Proceedings, Part I. Lecture Notes in Computer Science, vol. 14193, Springer, Cham, pp. 267-283, ICDAR 2023 Workshop on Computational Paleography (2nd edition), San Jose, United States, 24/08/23. https://doi.org/10.1007/978-3-031-41498-5_19

Collaborative annotation and computational analysis of hieratic. / Tabin, Julius; Nederhof, Mark Jan; Casey, Christian.
Document analysis and recognition – ICDAR 2023 workshops: San José, CA, USA, August 24–26, 2023, Proceedings, Part I. ed. / Mickael Coustaty; Alicia Fornés. Cham: Springer, 2023. p. 267-283 (Lecture Notes in Computer Science; Vol. 14193).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Collaborative annotation and computational analysis of hieratic

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AU - Nederhof, Mark Jan

AU - Casey, Christian

PY - 2023/8/15

Y1 - 2023/8/15

N2 - 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.

AB - 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.

KW - Hieratic

KW - OCR

KW - Dimensionality reduction

KW - Visualization

UR - https://doi.org/10.1007/978-3-031-41498-5

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DO - 10.1007/978-3-031-41498-5_19

M3 - Conference contribution

SN - 9783031414978

T3 - Lecture Notes in Computer Science

SP - 267

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BT - Document analysis and recognition – ICDAR 2023 workshops

A2 - Coustaty, Mickael

A2 - Fornés, Alicia

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T2 - ICDAR 2023 Workshop on Computational Paleography (2nd edition)

Y2 - 24 August 2023 through 24 August 2023

ER -

Tabin J, Nederhof MJ, Casey C. Collaborative annotation and computational analysis of hieratic. In Coustaty M, Fornés A, editors, Document analysis and recognition – ICDAR 2023 workshops: San José, CA, USA, August 24–26, 2023, Proceedings, Part I. Cham: Springer. 2023. p. 267-283. (Lecture Notes in Computer Science). Epub 2023 Aug 15. doi: 10.1007/978-3-031-41498-5_19

Collaborative annotation and computational analysis of hieratic

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