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Ink recognition based on statistical classification methods

Kokla, Vassiliki and Psarrou, Alexandra and Konstantinou, Vassilis (2006) Ink recognition based on statistical classification methods. In: Second International Conference on Document Image Analysis for Libraries, 2006. DIAL '06. IEEE Computer Society, USA, pp. 254-264. ISBN 0769525318

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Official URL: http://dx.doi.org/10.1109/DIAL.2006.24

Abstract

Statistical classification methods can be applied to images of historical manuscripts in order to characterize the various kinds of inks used. As these methods do not require destructive sampling they can be applied to the study of old and fragile manuscripts. Analysis of manuscript inks based on statistical analysis can be applied in situ, to provide important information for the authenticity, dating and origin of manuscripts. This paper describes a methodology and related algorithms used to interpret the photometric properties of inks and produce computational models which classify diverse types of inks found in Byzantine-era manuscripts. Various optical properties of these inks are extracted by the analysis of digital images taken in the visible and infrared regions of the electromagnetic spectrum. The inks are modelled based on their grey-level and colour information using a mixture of Gaussian functions and classified using Bayes' decision rule.

Item Type:Book Section
Research Community:University of Westminster > Electronics and Computer Science, School of
ID Code:2193
Deposited On:27 Jun 2006
Last Modified:11 Aug 2010 15:30

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