Automatic Identification of Artistic Pigments by Raman
 Spectroscopy Using Fuzzy Logic and Principal Component Analysis

Castanys, M.; Soneira, M. J.; Perez-Pueyo, R.

doi:https://doi.org/10.1155/2006/18792

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Lasers in the Preservation of Cultural Heritage

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Research Article | Open Access

Volume 2006 | Article ID 018792 | https://doi.org/10.1155/2006/18792

Automatic Identification of Artistic Pigments by Raman Spectroscopy Using Fuzzy Logic and Principal Component Analysis

M. Castanys,¹M. J. Soneira,¹and R. Perez-Pueyo¹

Academic Editor: Marta Castillejo

Received15 Sept 2006

Revised26 Oct 2006

Accepted27 Oct 2006

Published25 Dec 2006

Abstract

This work offers an automatic identification system of Raman spectra of artistic pigments. The proposed methodology is based on a fuzzy logic system, and uses principal component analysis to reduce redundancies in data and the correlation operator as an index of similarity between two Raman spectra. Moreover, as sometimes pigments are used in mixtures by artist, the designed system is able to recognize binary mixtures of pigments on the basis of their Raman fingerprints.

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Copyright

Copyright © 2006 M. Castanys et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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