Izvestiya of Saratov University.
ISSN 1994-2540 (Print)
ISSN 2542-1956 (Online)


accuracy of prediction

Classifi cation of fi ring pin marks images by weapon specimens using a fully-connected neural network

Introduction. The aim of the work is to increase the effi ciency of identifi cation of fi rearms by images of fi ring pin marks in the automatic mode. The relevance of the task is determined by the low effi ciency of the known methods of automatic identifi cation of fi rearm by the fi ring pin marks with individual topological types of individualizing features. This aff ects the investigation of crimes related to the use of fi rearms. Formation of clone images.