Automatic Recognition of Color Pigments from Raman Spectrum Analysis

##article.authors##

  • Giovanni Maria Farinella Università di Catania
  • Giovanni Gallo Università di Catania
  • Anna Maria Gueli Università di Catania
  • Filippo Stanco Università di Catania

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https://doi.org/10.1685/

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Cultural Heritage##common.commaListSeparator## Raman Spectra##common.commaListSeparator## Pigments##common.commaListSeparator## Conservation and Restoration.

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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

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  • ##submission.authorWithAffiliation##
    Dipartimento di Matematica e Informatica viale A. Doria 6, Catania
  • ##submission.authorWithAffiliation##
    Dipartimento di Matematica e Informatica viale A. Doria 6, Catania
  • ##submission.authorWithAffiliation##
    LDL&BBCC, Dipartimento di Fisica e Astronomia, Via Santa Sofia
  • ##submission.authorWithAffiliation##
    Dipartimento di Matematica e Informatica viale A. Doria 6, Catania

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2009-08-12

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##issue.vol## 3 (2009)

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Articles

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