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Automatic identification of artistic pigments by Raman spectroscopy using fuzzy logic and principal component analysis

Author
Castanys, M.; Soneira, M.J.; Perez-Pueyo, R.
Type of activity
Journal article
Journal
Laser chemistry
Date of publication
2006-10-27
Volume
2006
First page
1
Last page
8
DOI
https://doi.org/10.1155/2006/18792 Open in new window
Repository
http://hdl.handle.net/2117/15656 Open in new window
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.
Citation
Castanys, M.; Soneira, M.J.; Pérez-Pueyo, R. Automatic identification of artistic pigments by Raman spectroscopy using fuzzy logic and principal component analysis. "Laser chemistry", 27 Octubre 2006, vol. 2006, p. 1-8.
Group of research
GCO - Optical Communications Group

Participants