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Classification of papers using IR and NIR spectra and principal component analysis
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 Title & Authors
Classification of papers using IR and NIR spectra and principal component analysis
Kim, Kang-Jae; Eom, Tae-Jin;
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 Abstract
In this study, we classified three copying papers and Korean, Chinese, and Japanese traditional papers using IR and/or NIR spectra and principal component analysis. Various chemicals are used when producing fine papers. In this case, the IR method to analyze functional groups is suitable for the classification of paper. On the other hand, NIR analysis is more suitable for the classification of traditional papers, as it uses nearly raw materials (pulp). Therefore, principal component analysis using IR and NIR depending on the paper production process will be the classification tool of paper.
 Keywords
Chemometrics;principal component analysis (PCA);ATR;NIR;multivariate analysis;classification;
 Language
Korean
 Cited by
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