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. The method based on modified Euclidean distance between circles of the similar firing pin was proposed to assess the degree of similarity of the traces. Preliminary processing. To eliminate the adverse effect of noise and various image artifacts were pretreated. Markers were placed to accurately determine the features in the form of circles. Method of searching paired tracks. Criteria based on modified Euclidean distance were developed for the formation of the priority list. Numerical experiment. In the numerical experiment database of 60 objects was used. Paired trace from firing pin array was included in top four of the prior list in 90 percent cases. Conclusions. The proposed algorithm allows to sort effectively and quickly the array of test objects by the degree of similarity of signs in the form of arcs and circles with relevant features of the test track.