Volume 2006 (2006), Article ID 18792, 8 pages
Automatic Identification of Artistic Pigments by Raman Spectroscopy Using Fuzzy Logic and Principal Component Analysis
Departament de Teoria del Senyal i Comunicacions (TSC), Universitat Politècnica de Catalunya (UPC), C/ Sor Eulàlia de Anzizu s/n, Campus Nord D5, Barcelona 08034, Spain
Received 15 September 2006; Revised 26 October 2006; Accepted 27 October 2006
Academic Editor: Marta Castillejo
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.
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.