Klasyfikacja iidentyfikacja czarnych past długopisowych na podstawie analizy widm w podczerwieni z wykorzystaniem metod wielowymiarowej analizy danych

Translated title of the contribution: Classification and identification of black ballpoint pen inks based on multivariate analysis and infrared spectra

Loong Chuen Lee, Mohamed Rozali Othman, Hiang Pua, Ab Aziz Ishak, Seri Mirianti Ishar

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

A non-destructive method for the classification and identification of black ballpoint pen inks on a questioned document was developed. Micro-ATR-FTIR spectroscopy allowed ink samples to be analysed in situ on a paper substrate. A total of 155 sample pens encompassing forty models of nine different brands were sampled from stationary shops at Subang Jaya, Malaysia. IR spectra data was processed by a number of multivariate analysis techniques, including cluster analysis (CA), principal component analysis (PCA) and discriminant analysis (DA). The proposed method gave satisfactory results relating to classification and identification of pen inks at the level of the brand as well as the model.

Original languageUndefined/Unknown
Pages (from-to)253-264
Number of pages12
JournalZ Zagadnien Nauk Sadowych
Volume92
Publication statusPublished - 2012

Fingerprint

Ink
Multivariate Analysis
Malaysia
Discriminant Analysis
Fourier Transform Infrared Spectroscopy
Principal Component Analysis
Cluster Analysis
Spectrum Analysis

Keywords

  • Classification
  • Discriminant analysis
  • Identification
  • Infrared spectrum
  • Ink analysis
  • Principal component analysis

ASJC Scopus subject areas

  • Pathology and Forensic Medicine

Cite this

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title = "Klasyfikacja iidentyfikacja czarnych past długopisowych na podstawie analizy widm w podczerwieni z wykorzystaniem metod wielowymiarowej analizy danych",
abstract = "A non-destructive method for the classification and identification of black ballpoint pen inks on a questioned document was developed. Micro-ATR-FTIR spectroscopy allowed ink samples to be analysed in situ on a paper substrate. A total of 155 sample pens encompassing forty models of nine different brands were sampled from stationary shops at Subang Jaya, Malaysia. IR spectra data was processed by a number of multivariate analysis techniques, including cluster analysis (CA), principal component analysis (PCA) and discriminant analysis (DA). The proposed method gave satisfactory results relating to classification and identification of pen inks at the level of the brand as well as the model.",
keywords = "Classification, Discriminant analysis, Identification, Infrared spectrum, Ink analysis, Principal component analysis",
author = "Lee, {Loong Chuen} and Othman, {Mohamed Rozali} and Hiang Pua and Ishak, {Ab Aziz} and Ishar, {Seri Mirianti}",
year = "2012",
language = "Undefined/Unknown",
volume = "92",
pages = "253--264",
journal = "Z Zagadnien Nauk Sadowych",
issn = "1230-7483",
publisher = "Instytut Ekspertyz Sadowych",

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T1 - Klasyfikacja iidentyfikacja czarnych past długopisowych na podstawie analizy widm w podczerwieni z wykorzystaniem metod wielowymiarowej analizy danych

AU - Lee, Loong Chuen

AU - Othman, Mohamed Rozali

AU - Pua, Hiang

AU - Ishak, Ab Aziz

AU - Ishar, Seri Mirianti

PY - 2012

Y1 - 2012

N2 - A non-destructive method for the classification and identification of black ballpoint pen inks on a questioned document was developed. Micro-ATR-FTIR spectroscopy allowed ink samples to be analysed in situ on a paper substrate. A total of 155 sample pens encompassing forty models of nine different brands were sampled from stationary shops at Subang Jaya, Malaysia. IR spectra data was processed by a number of multivariate analysis techniques, including cluster analysis (CA), principal component analysis (PCA) and discriminant analysis (DA). The proposed method gave satisfactory results relating to classification and identification of pen inks at the level of the brand as well as the model.

AB - A non-destructive method for the classification and identification of black ballpoint pen inks on a questioned document was developed. Micro-ATR-FTIR spectroscopy allowed ink samples to be analysed in situ on a paper substrate. A total of 155 sample pens encompassing forty models of nine different brands were sampled from stationary shops at Subang Jaya, Malaysia. IR spectra data was processed by a number of multivariate analysis techniques, including cluster analysis (CA), principal component analysis (PCA) and discriminant analysis (DA). The proposed method gave satisfactory results relating to classification and identification of pen inks at the level of the brand as well as the model.

KW - Classification

KW - Discriminant analysis

KW - Identification

KW - Infrared spectrum

KW - Ink analysis

KW - Principal component analysis

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