Image-Based Material Analysis of Ancient Historical Documents

Thomas Reynolds, Maruf A. Dhali, Lambert Schomaker

2023

Abstract

Researchers continually perform corroborative tests to classify ancient historical documents based on the physical materials of their writing surfaces. However, these tests, often performed on-site, requires actual access to the manuscript objects. The procedures involve a considerable amount of time and cost, and can damage the manuscripts. Developing a technique to classify such documents using only digital images can be very useful and efficient. In order to tackle this problem, this study uses images from a famous historical collection, the Dead Sea Scrolls, to propose a novel method to classify the materials of the manuscripts. The proposed classifier uses the two-dimensional Fourier Transform to identify patterns within the manuscript surfaces. Combining a binary classification system employing the transform with a majority voting process is shown to be effective for this classification task. This pilot study shows a successful classification percentage of up to 97% for a confined amount of manuscripts produced from either parchment or papyrus material. Feature vectors based on Fourier-space grid representation outperformed a concentric Fourier-space format.

Paper Citation

in Harvard Style

Reynolds T., A. Dhali M. and Schomaker L. (2023). Image-Based Material Analysis of Ancient Historical Documents. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-626-2, pages 697-706. DOI: 10.5220/0011743700003411

in Bibtex Style

@conference{icpram23,
author={Thomas Reynolds and Maruf A. Dhali and Lambert Schomaker},
title={Image-Based Material Analysis of Ancient Historical Documents},
booktitle={Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2023},
pages={697-706},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011743700003411},
isbn={978-989-758-626-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Image-Based Material Analysis of Ancient Historical Documents
SN - 978-989-758-626-2
AU - Reynolds T.
AU - A. Dhali M.
AU - Schomaker L.
PY - 2023
SP - 697
EP - 706
DO - 10.5220/0011743700003411