Automatic Recognition of Color Pigments from Raman Spectrum Analysis
Abstract
In this paper, an algorithm to automatically recognize pigments from Raman spectrum analysis is presented. The Raman spectroscopy is a technique to confirm the presence of specific pigments in a painting. Machine learning techniques are applied over an existing database of Raman spectra in order to find a set of characteristic features. These information are necessary to automatically recognize unknown pigments by using ad-hoc
similarity measure.
[DOI: 10.1685/CSC09211] About DOI
similarity measure.
[DOI: 10.1685/CSC09211] About DOI
Keywords
Cultural Heritage, Raman Spectra, Pigments, Conservation and Restoration.
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PDFDOI: https://doi.org/10.1685/

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