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Classification of papers using IR and NIR spectra and principal component analysis

IR 및 NIR 스펙트럼과 주성분 분석을 통한 지종의 분류

  • Kim, Kang-Jae (Dept. of Wood Science and Technology, College of Agriculture and Life Science, Kyungpook National University) ;
  • Eom, Tae-Jin (Dept. of Wood Science and Technology, College of Agriculture and Life Science, Kyungpook National University)
  • 김강재 (경북대학교 농업생명과학대학 임산공학과) ;
  • 엄태진 (경북대학교 농업생명과학대학 임산공학과)
  • Received : 2016.01.08
  • Accepted : 2016.02.04
  • Published : 2016.02.28

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

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