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Computational model for forensic biological hair analysis

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dc.contributor.authorNikonets, D.
dc.contributor.authorSuchkova, E.
dc.contributor.authorKulik, S.
dc.contributor.authorКулик, Сергей Дмитриевич
dc.date.accessioned2024-11-26T13:28:54Z
dc.date.available2024-11-26T13:28:54Z
dc.date.issued2020
dc.description.abstract© 2020 The Authors. Published by Elsevier B.V.Human hair is one of the subjects, which is dealt with in researches of the forensic biological examination. To increase the efficiency of evaluating the results of a forensic microscopical analysis of hair from a person's head, in the course of this work, a mathematical model was developed for obtaining a probabilistic-statistical evaluation of the set of matching features, characterizing human hair (the random match probability). Such probability has been estimated for all hair samples from control dataset. As a result of the work, we can conclude that in most cases the estimation of the probability of appearance of the hair features set doesn't give us the precise results which allow to make an unequivocal positive conclusion in the identification of a person by hair. This made it possible to increase the efficiency of forensic biological experts.
dc.format.extentС. 249-252
dc.identifier.citationNikonets, D. Computational model for forensic biological hair analysis / Nikonets, D., Suchkova, E., Kulik, S. // Procedia Computer Science. - 2020. - 169. - P. 249-252. - 10.1016/j.procs.2020.02.144
dc.identifier.doi10.1016/j.procs.2020.02.144
dc.identifier.urihttps://www.doi.org/10.1016/j.procs.2020.02.144
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85084497703&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/21782
dc.relation.ispartofProcedia Computer Science
dc.titleComputational model for forensic biological hair analysis
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.volume169
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relation.isAuthorOfPublication.latestForDiscovery7ce44b2d-ec0b-42b1-beca-1477fbb1b638
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