Abstract
Abstract 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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
