Abstract
The aim of our study was to investigate the current state of computer identification applications, such as artificial neural networks. The material of our study were antroposcopic and anthropometric parameters obtained from 180 male and females aged 18–55 years living in the Ivano-Frankivsk region and belonging to Boiko, Lemko or Hutsul ethno-territorial group. Prints of comb pattern of the toes obtained by scanning with Futronic's FS80 USB2.0 Fingerprint Scanner using the program ftrScanApiEx.exe. followed by the transfer of data to a personal computer. For statistical processing of the obtained data we use STATISTICA 12 from the company StatSoft. Construction of neural networks was carried out using Neural Networks. As a result of our research there was carried out the prediction of anthropometric and antroposcopic parameters (ethno-territorial and gender belonging, etc.) through the use of dermatoglyphic parameters of the hands and feet in 180 people living in the Ivano-Frankivsk region. The proposed method allowed to obtain the results with a forecasts probability 73–90 %. The use of above algorithm of actions allowed a 50 % increase of quality of identification of unknown person for using dermatoglyphic method and 67 % facilitatation of the process of identification (of quantitative and qualitative calculations, determining correlations between parameters) in comparison with previously known manner. Therefore, our proposed method can be used as an express diagnostics of common phenotypic traits of the person (ethno-territorial affiliation, gender, etc.) at admission of mass victims (natural disasters, acts of terrorism, armed conflicts, man-made disasters, etc.), it doesn’t not require a long time for conducting, specially trained staff and is inexpensive.Conclusions: The possibility of predicting external-recognizing features of a person such as etno-racial belonging, sex, anthropometric and antroposcopic parameters will allow widely use dermatoglyphic method at the level with other methods in conducting forensic identification of impersonal, fragmented and putrefactive modified corpses.
Highlights
Military conflicts in the world and in particular in Ukraine, lead to a large number of impersonal, fragmented and putrefactive modified corpses
One of the topical issues of forensic medicine is the question posed by the problem of identification of an unknown person
Express method that can be used for identifying unknown person is dermatoglyphic method [1,2,3]
Summary
Military conflicts in the world and in particular in Ukraine, lead to a large number of impersonal, fragmented and putrefactive modified corpses. The most popular is DNA identification which is, despite the accuracy of the initial results, expensive method, time and funds – consuming, which implementation requires specially trained personnel. In this case, express method that can be used for identifying unknown person is dermatoglyphic method [1,2,3]. Severe medical and social consequences of stroke are reflected in the indicators of disability of the population In this regard, great importance is attached to the study of the pathophysiology of acute cerebral ischemia and the development of effective methods for correcting the revealed changes [3]
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