Nascimento, Francimaria, Smith, Stephen Leslie orcid.org/0000-0002-6885-2643 and Da Costa‑Abreu, Márjory (2022) Exploring Medieval Manuscripts Writer Predictability:A Study on Scribe and Letter Identification. Digital Studies / Le champ numérique. ISSN 1918-3666
Abstract
Handwriting communication is a long-established human activity that has survived into the 21st century. Accordingly, research interest in handwritten documents, both historical and modern, is significant. The way we write has changed significantly over the past few centuries. For example, texts of the Middle Ages were often written and copied by anonymous scribes. The writing of each scribe, known as his/her "scribal hand" is unique. It can be differentiated using a variety of consciously and unconsciously produced features. Distinguishing between these different scribal hands is a central focus of the humanities research field known as "paleography." Character recognition within each scribal hand has also posed an interesting challenge. Some issues make these digital processes difficult, such as paper degradation and the soiling of the manuscript page. Thus, in this paper, we propose an investigation in both perspectives, character recognition and writer identification, in medieval manuscripts to better understand the specific behaviour of two 800-year-old scribes based on their manuscripts in comparison with a modern calligrapher. The experiments demonstrated that degradation and tremor can influence the analysis of medieval handwriting documents. However, the results presented an efficient accuracy with a better accuracy rate in letter classification than in writer identification.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 The Author(s) |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
Depositing User: | Pure (York) |
Date Deposited: | 09 Sep 2022 11:30 |
Last Modified: | 20 Mar 2025 00:11 |
Published Version: | https://doi.org/10.16995/dscn.8096 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.16995/dscn.8096 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:190749 |
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