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Analysis of Traces on Discharged Bullets by the Congruent Matching Profile Segments Method and k-Nearest Neighbors

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Abstract

This paper discusses the problem of classifying images of land impressions on discharged bullets in terms of the “match” and “non-match” categories. The research is aimed at improving the effectiveness of comparing land impression images by the congruent matching profile segments (CMPS) method. The scientific novelty of the approach is in supplementing the analysis with an additional independent feature, as well as in using the k-nearest neighbors algorithm at the final stage of trace comparison. The research shows that the accuracy of classification of the compared pairs of land impression images by the combined method is approximately 87%. The analysis by the CMPS method makes it possible to effectively compare land impression images with high resolution (approximately 1 μm per pixel). The research is of interest to developers of automated ballistic identification systems.

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Funding

This work was supported by ongoing institutional funding. No additional grants to carry out or direct this particular research were obtained.

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Authors and Affiliations

  1. Saratov State University, Saratov, Russia

    V. A. Fedorenko

  2. Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    K. O. Sorokina

  3. Ballistic Laboratory of Israel Police, Jerusalem, Israel

    P. V. Giverts

Authors
  1. V. A. Fedorenko
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  2. K. O. Sorokina
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  3. P. V. Giverts
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Corresponding authors

Correspondence to V. A. Fedorenko, K. O. Sorokina or P. V. Giverts.

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The authors declare that they have no conflicts of interest.

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Translated by Yu. Kornienko

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Fedorenko, V.A., Sorokina, K.O. & Giverts, P.V. Analysis of Traces on Discharged Bullets by the Congruent Matching Profile Segments Method and k-Nearest Neighbors. Program Comput Soft 49 (Suppl 2), S72–S81 (2023). https://doi.org/10.1134/S036176882310002X

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  • DOI: https://doi.org/10.1134/S036176882310002X

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