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Raman Spectroscopy with self-organizing feature maps and partial least squares discriminant analysis for discrimination and source correspondence of red gel ink pens

In criminal and forensic investigations, documents play an important role in finance, legal, and business domains on a daily basis. Documents refer to materials with symbols or signs that convey meaning or message [1]. Forensic scientists are required to determine (i) whether there is any alteration...

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Main Authors: Mohamad Asri, Muhammad Naeim, Verma, Rajesh, Mahat, Naji Arafat, Mohd. Nor, Nor Azman, Mat Desa, Wan Nur Syuhaila, Ismail, Dzulkiflee
Format: Article
Published: Elsevier B.V. 2022
Subjects:
QD Chemistry
Online Access:http://eprints.utm.my/103277/
http://dx.doi.org/10.1016/j.microc.2021.107170
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spelling my.utm.1032772023-10-31T01:31:54Z http://eprints.utm.my/103277/ Raman Spectroscopy with self-organizing feature maps and partial least squares discriminant analysis for discrimination and source correspondence of red gel ink pens Mohamad Asri, Muhammad Naeim Verma, Rajesh Mahat, Naji Arafat Mohd. Nor, Nor Azman Mat Desa, Wan Nur Syuhaila Ismail, Dzulkiflee QD Chemistry In criminal and forensic investigations, documents play an important role in finance, legal, and business domains on a daily basis. Documents refer to materials with symbols or signs that convey meaning or message [1]. Forensic scientists are required to determine (i) whether there is any alteration and obliteration on documents, (ii) to differentiate the inks, and (iii) to identify the origin of the inks on the documents [2]. Elsevier B.V. 2022-04 Article PeerReviewed Mohamad Asri, Muhammad Naeim and Verma, Rajesh and Mahat, Naji Arafat and Mohd. Nor, Nor Azman and Mat Desa, Wan Nur Syuhaila and Ismail, Dzulkiflee (2022) Raman Spectroscopy with self-organizing feature maps and partial least squares discriminant analysis for discrimination and source correspondence of red gel ink pens. Microchemical Journal, 175 (NA). pp. 1-10. ISSN 0026-265X http://dx.doi.org/10.1016/j.microc.2021.107170 DOI:10.1016/j.microc.2021.107170
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QD Chemistry
spellingShingle QD Chemistry
Mohamad Asri, Muhammad Naeim
Verma, Rajesh
Mahat, Naji Arafat
Mohd. Nor, Nor Azman
Mat Desa, Wan Nur Syuhaila
Ismail, Dzulkiflee
Raman Spectroscopy with self-organizing feature maps and partial least squares discriminant analysis for discrimination and source correspondence of red gel ink pens
description In criminal and forensic investigations, documents play an important role in finance, legal, and business domains on a daily basis. Documents refer to materials with symbols or signs that convey meaning or message [1]. Forensic scientists are required to determine (i) whether there is any alteration and obliteration on documents, (ii) to differentiate the inks, and (iii) to identify the origin of the inks on the documents [2].
format Article
author Mohamad Asri, Muhammad Naeim
Verma, Rajesh
Mahat, Naji Arafat
Mohd. Nor, Nor Azman
Mat Desa, Wan Nur Syuhaila
Ismail, Dzulkiflee
author_facet Mohamad Asri, Muhammad Naeim
Verma, Rajesh
Mahat, Naji Arafat
Mohd. Nor, Nor Azman
Mat Desa, Wan Nur Syuhaila
Ismail, Dzulkiflee
author_sort Mohamad Asri, Muhammad Naeim
title Raman Spectroscopy with self-organizing feature maps and partial least squares discriminant analysis for discrimination and source correspondence of red gel ink pens
title_short Raman Spectroscopy with self-organizing feature maps and partial least squares discriminant analysis for discrimination and source correspondence of red gel ink pens
title_full Raman Spectroscopy with self-organizing feature maps and partial least squares discriminant analysis for discrimination and source correspondence of red gel ink pens
title_fullStr Raman Spectroscopy with self-organizing feature maps and partial least squares discriminant analysis for discrimination and source correspondence of red gel ink pens
title_full_unstemmed Raman Spectroscopy with self-organizing feature maps and partial least squares discriminant analysis for discrimination and source correspondence of red gel ink pens
title_sort raman spectroscopy with self-organizing feature maps and partial least squares discriminant analysis for discrimination and source correspondence of red gel ink pens
publisher Elsevier B.V.
publishDate 2022
url http://eprints.utm.my/103277/
http://dx.doi.org/10.1016/j.microc.2021.107170
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score 13.188404

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