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


следы бойков

Allocation of Individual Attributes on Digital Images of the Firing Pin Traces

Introduction. Automated ballistic identification systems allow automation of inspections by array firing pin traces containing thousands of similar objects. However, sometimes the system allow «mistakes», ie can not find ‘doubles’ trail in database. In addition, quite often «doubles» trail of test array is placed on the priority list is far from its beginning.

The Comparison of Digital Images of Firing Pin with a Dominant Features in the Form of Circles and Arcs

Introduction. Development of the algorithms for the automatic comparison of the digital images of firing pin is an important task of the forensic examination. This task is aimed at improving the efficiency of crime investigation involving the use of firearms. In this paper images of firing pin with the features in the form of circles and arcs with single center are investigated.

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.