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Ink discrimination based on co-occurrence analysis of visible and infrared images

Kokla, Vassiliki and Psarrou, Alexandra and Konstantinou, Vassilis (2007) Ink discrimination based on co-occurrence analysis of visible and infrared images. In: Proceedings of the Ninth International Conference on Document Analysis and Recognition, 23-26 Sept. 2007 (ICDAR 2007). IEEE, Los Alamitos, USA, pp. 1148-1152. ISBN 9780769528229

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Official URL: http://dx.doi.org/10.1109/ICDAR.2007.4377095

Abstract

Inks found in Byzantine manuscripts are semitransparent pigments and their examination and analysis provide an invaluable source of information on the authenticity 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.

Item Type:Book Section
Research Community:University of Westminster > Electronics and Computer Science, School of
ID Code:4574
Deposited On:09 Jan 2008
Last Modified:11 Aug 2010 15:32

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