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<title>Discrimination of human and animal bloodstains using hyperspectral imaging</title>
<link>https://opara.zih.tu-dresden.de/xmlui/handle/123456789/6054</link>
<description>Blood is the most encountered type of biological evidence in violent crimes and contains pertinent information to a forensic&#13;
investigation. The false presumption that blood encountered at a crime scene is human may not be realised until after costly&#13;
and sample-consuming tests are performed. To address the question of blood origin, the novel application of visible-near&#13;
infrared hyperspectral imaging (HSI) is used for the detection and discrimination of human and animal bloodstains. The&#13;
HSI system used is a portable, non-contact, non-destructive method for the determination of blood origin. A support vector&#13;
machine (SVM) binary classifier was trained for the discrimination of bloodstains of human (n = 20) and five animal species:&#13;
pig (n = 20), mouse (n = 16), rat (n = 5), rabbit (n = 5), and cow (n = 20). On an independent test set, the SVM model&#13;
achieved accuracy, precision, sensitivity, and specificity values of 96, 97, 95, and 96%, respectively. Segmented images&#13;
of bloodstains aged over a period of two months were produced, allowing for the clear visualisation of the discrimination&#13;
of human and animal bloodstains. The inclusion of such a system in a forensic investigation workflow not only removes&#13;
ambiguity surrounding blood origin, but can potentially be used in tandem with HSI bloodstain age determination methods&#13;
for rapid on-scene forensic analysis.</description>
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<dc:date>2026-04-08T05:57:10Z</dc:date>
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<item rdf:about="https://opara.zih.tu-dresden.de/xmlui/handle/123456789/6117">
<title>Discrimination of human and animal bloodstains using hyperspectral imaging</title>
<link>https://opara.zih.tu-dresden.de/xmlui/handle/123456789/6117</link>
<description>Discrimination of human and animal bloodstains using hyperspectral imaging
Babian, Carsten; Cooney, Gary Sean; Chalopin, Claire; Köhler, Hannes
To address the question of blood origin, the novel application of visible-near infrared hyperspectral imaging (HSI) is used for the detection and discrimination of human and animal bloodstains. The HSI system used is a portable, non-contact, non-destructive method for the determination of blood origin. A support vector machine (SVM) binary classifier was trained for the discrimination of bloodstains of human (n = 20) and five animal species: pig (n = 20), mouse (n = 16), rat (n = 5), rabbit (n = 5), and cow (n = 20).
Data and methods are described in detail in the attached documents and in https://doi.org/10.1007/s12024-023-00689-0.
</description>
<dc:date>2024-01-01T00:00:00Z</dc:date>
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