Abstract
The problem of identification by human hair has been considered in the paper. The main aim of this paper is to present a new intelligence information system for forensic microscopical hair analysis. In our research we used micromorphological characteristics of the human hair: cuticle scale pattern, cortical layer background colour, pigment colour, pigment granule size, pigment aggregate size and pigment distribution. The micromorphological characteristics of the hair specimens have been investigated with the special microscope, such as Leica DM 1000 microscope. The result of the work is very important for the development of a mathematical model for the evaluating of the probability of a set of the matching features in the investigated hair object and comparative hair samples. Pattern recognition and decision making is special intelligent technology for forensic examination of human hair. Our results are useful for forensic experts and students from a broad range of disciplines related to intelligent technologies, for forensic microscopical hair analysis and other fields. Gathered information will be used for creating effective intelligence information system for forensic microscopical hair analysis.
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This work was supported by Competitiveness Growth Program of the Federal Autonomous Educational Institution of Higher Education National Research Nuclear University MEPhI (Moscow Engineering Physics Institute).
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Suchkova, E.V., Kulik, S.D., Nikonets, D.A. (2020). Intelligence Information System for Forensic Microscopical Hair Analysis. In: Misyurin, S., Arakelian, V., Avetisyan, A. (eds) Advanced Technologies in Robotics and Intelligent Systems. Mechanisms and Machine Science, vol 80. Springer, Cham. https://doi.org/10.1007/978-3-030-33491-8_26
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