Ink Discrimination Based on Co-occurrence Analysis of Visible and Infrared Images

Authors:
V. Kokla;A. Psarrou;V. Konstantinou
Affiliations:
University of Westminster, Harrow School of Computer Science, UK;University of Westminster, Harrow School of Computer Science, UK;University of Westminster, Harrow School of Computer Science, UK
Venue:
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
Year:
2007

Citing 0
Cited 2

An ink texture descriptor for NIR-imaged medieval documents

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Near-Infrared Ink Differentiation in Medieval Manuscripts

International Journal of Computer Vision

Quantified Score

Hi-index	0.00

Visualization

Abstract

Inks found in Byzantine manuscripts are semi- transparent pigments and their examination and analysis provide an invaluable source of information on the au- thenticity and dating of manuscripts and the number of authors involved. However, inks are difficult to characterize because their intensity depends on the amount of liquid spread during scripting and the reflective properties of the support. Most existing methods for the analysis of ink materials are based on destructive testing techniques that require the physicochemical sampling of data. Such methods cannot be widely used because of the historical and cultural value of the manuscripts. In this work we show that manuscript inks can be represented through a mixture of Gaussian functions and can be characterised using co-occurrence matrices.