Probabilistic image-based characterization of manuscript inks

Vassiliki Kokla; Alexandra Psarrou; Vassilis Konstantinou

doi:10.1117/12.612434

12 August 2005 Probabilistic image-based characterization of manuscript inks

Vassiliki Kokla, Alexandra Psarrou, Vassilis Konstantinou

Proceedings Volume 5857, Optical Methods for Arts and Archaeology; 585712 (2005) https://doi.org/10.1117/12.612434
Event: Optical Metrology, 2005, Munich, Germany

Abstract

Inks constitute the main element in Medieval manuscripts and their examination and analysis provides an invaluable source of information on the authenticity of the manuscripts, the number of authors involved and dating of the manuscripts. 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 manuscripts. In this paper we present a novel approach for discriminating and identifying inks based on the correlations of image variations under visible and infrared illumination. Such variations are studied using co-occurrence matrices and detect the behavior of the inks during the scripting process.

Citation Download Citation

Vassiliki Kokla, Alexandra Psarrou, and Vassilis Konstantinou "Probabilistic image-based characterization of manuscript inks", Proc. SPIE 5857, Optical Methods for Arts and Archaeology, 585712 (12 August 2005); https://doi.org/10.1117/12.612434

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available