Forensic analysis of beverage stains using hyperspectral imaging

Abstract Documentation and analysis of crime scene evidences are of great importance in any forensic investigation. In this paper, we present the potential of hyperspectral imaging (HSI) to detect and analyze the beverage stains on a paper towel. To detect the presence and predict the age of the com...

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Autores principales:	Binu Melit Devassy, Sony George
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a4b30b89db2941dfac83c06ecb4742ac
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spelling	oai:doaj.org-article:a4b30b89db2941dfac83c06ecb4742ac2021-12-02T11:45:02ZForensic analysis of beverage stains using hyperspectral imaging10.1038/s41598-021-85737-x2045-2322https://doaj.org/article/a4b30b89db2941dfac83c06ecb4742ac2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-85737-xhttps://doaj.org/toc/2045-2322Abstract Documentation and analysis of crime scene evidences are of great importance in any forensic investigation. In this paper, we present the potential of hyperspectral imaging (HSI) to detect and analyze the beverage stains on a paper towel. To detect the presence and predict the age of the commonly used drinks in a crime scene, we leveraged the additional information present in the HSI data. We used 12 different beverages and four types of paper hand towel to create the sample stains in the current study. A support vector machine (SVM) is used to achieve the classification, and a convolutional auto-encoder is used to achieve HSI data dimensionality reduction, which helps in easy perception, process, and visualization of the data. The SVM classification model was re-established for a lighter and quicker classification model on the basis of the reduced dimension. We employed volume-gradient-based band selection for the identification of relevant spectral bands in the HSI data. Spectral data recorded at different time intervals up to 72 h is analyzed to trace the spectral changes. The results show the efficacy of the HSI techniques for rapid, non-contact, and non-invasive analysis of beverage stains.Binu Melit DevassySony GeorgeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Binu Melit Devassy Sony George Forensic analysis of beverage stains using hyperspectral imaging
description	Abstract Documentation and analysis of crime scene evidences are of great importance in any forensic investigation. In this paper, we present the potential of hyperspectral imaging (HSI) to detect and analyze the beverage stains on a paper towel. To detect the presence and predict the age of the commonly used drinks in a crime scene, we leveraged the additional information present in the HSI data. We used 12 different beverages and four types of paper hand towel to create the sample stains in the current study. A support vector machine (SVM) is used to achieve the classification, and a convolutional auto-encoder is used to achieve HSI data dimensionality reduction, which helps in easy perception, process, and visualization of the data. The SVM classification model was re-established for a lighter and quicker classification model on the basis of the reduced dimension. We employed volume-gradient-based band selection for the identification of relevant spectral bands in the HSI data. Spectral data recorded at different time intervals up to 72 h is analyzed to trace the spectral changes. The results show the efficacy of the HSI techniques for rapid, non-contact, and non-invasive analysis of beverage stains.
format	article
author	Binu Melit Devassy Sony George
author_facet	Binu Melit Devassy Sony George
author_sort	Binu Melit Devassy
title	Forensic analysis of beverage stains using hyperspectral imaging
title_short	Forensic analysis of beverage stains using hyperspectral imaging
title_full	Forensic analysis of beverage stains using hyperspectral imaging
title_fullStr	Forensic analysis of beverage stains using hyperspectral imaging
title_full_unstemmed	Forensic analysis of beverage stains using hyperspectral imaging
title_sort	forensic analysis of beverage stains using hyperspectral imaging
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/a4b30b89db2941dfac83c06ecb4742ac
work_keys_str_mv	AT binumelitdevassy forensicanalysisofbeveragestainsusinghyperspectralimaging AT sonygeorge forensicanalysisofbeveragestainsusinghyperspectralimaging
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Forensic analysis of beverage stains using hyperspectral imaging

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