Automatic characterization of the border deterioration in Byzantine seals

Byzantine seals were attached to official documents to authenticate the sender, thus enclosing a valuable part of the Byzantine Empire’s history. With the aim to provide computational models to help historians in the seal interpretation, this paper proposes a method to automatically determine the level of deterioration of the seal borders from their photographs, i.e., a non-destructive inspection. The method consists of a segmentation step based on Morphological Geodesic Active Contours, a feature extraction step, and a classification step that groups the seals into four border deterioration categories. Our best results reached 0.80 in accuracy, 0.73 in Cohen’s Kappa statistics score, and 0.80 in the macro F1 score. • Classifying Byzantine seals by their border damage is useful since most are broken. • Byzantine seal characteristics indicating border deterioration level are analyzed. • The first border deterioration-based automated Byzantine seal classification. • A method based on segmentation, feature extraction, and classification is proposed. • Accurate classification results are obtained (accuracy = 0.80).

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Publication Details

Journal
Digital Applications in Archaeology and Cultural Heritage
Published
2025-03-31
DOI
https://doi.org/10.1016/j.daach.2025.e00410
Primary Topic
Advanced Measurement and Detection Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

Automatic characterization of the border deterioration in Byzantine seals

Béatrice Caseau, Victoria Eyharabide, Isabelle Bloch A, Ege Şendoğan
Digital Applications in Archaeology and Cultural Heritage
Advanced Measurement and Detection Methods
article

Automatic characterization of the border deterioration in Byzantine seals

Béatrice Caseau, Victoria Eyharabide, Isabelle Bloch A, Ege Şendoğan
article en

Abstract

Byzantine seals were attached to official documents to authenticate the sender, thus enclosing a valuable part of the Byzantine Empire’s history. With the aim to provide computational models to help historians in the seal interpretation, this paper proposes a method to automatically determine the level of deterioration of the seal borders from their photographs, i.e., a non-destructive inspection. The method consists of a segmentation step based on Morphological Geodesic Active Contours, a feature extraction step, and a classification step that groups the seals into four border deterioration categories. Our best results reached 0.80 in accuracy, 0.73 in Cohen’s Kappa statistics score, and 0.80 in the macro F1 score. • Classifying Byzantine seals by their border damage is useful since most are broken. • Byzantine seal characteristics indicating border deterioration level are analyzed. • The first border deterioration-based automated Byzantine seal classification. • A method based on segmentation, feature extraction, and classification is proposed. • Accurate classification results are obtained (accuracy = 0.80).

Digital Applications in Archaeology and Cultural HeritageVol. 37
Centre National de la Recherche Scientifique (FR), Université Sorbonne Nouvelle (FR), Université Paris Cité (FR), Sorbonne Université (FR), Institut de Neurobiologie de la Méditerranée (FR), Orient & Méditerranée (FR), LIP6 (FR), Sens, Texte, Informatique, Histoire, Université Paris 1 Panthéon-Sorbonne (FR)
Agence Nationale de la Recherche
Climate action
Openalex Percentile: Top 95%
Advanced Measurement and Detection Methods
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Automatic characterization of the border deterioration in Byzantine seals — Béatrice Caseau, Victoria Eyharabide, et al. · Digital Applications in Archaeology and Cultural Heritage (2025) | TGRS Research Map | TGRS