Pattern Recognition Based on Principal Component Analysis in Raman Spectroscopy Applied to Artistic Pigments
نویسندگان
چکیده
It is proposed an algorithm, based on the general scheme of pattern recognition and on the technique of principal components analysis, developed to automatically select the reference Raman spectrum corresponding to an unknown Raman spectrum, which is a ‘fingerprint’ of the analyzed material. It is applied to the identification of artistic pigments in art works. The performance of the implemented algorithm was studied in a simulation stage and verified with experimental cases of Raman spectra measured on paintings. The algorithm is fully automated and provides a factor of reliability on the identification, being a helpful tool for the analyst in the decision-making process.
منابع مشابه
Automatic Identification of Artistic Pigments by Raman Spectroscopy Using Fuzzy Logic and Principal Component Analysis
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