The Classification of Gun’s Type Using Image Recognition Theory
Keywords:
Canny, gun type classification, image recognition theory, SUSAN.Abstract
The research aims to develop the Gun’s Type and
Models Classification (GTMC) system using image recognition
theory. It is expected that this study can serve as a guide for law
enforcement agencies or at least serve as the catalyst for a
similar type of research. Master image storage and image
recognition are the two main processes. The procedures
involved original images, scaling, gray scale, canny edge
detector, SUSAN corner detector, block matching template, and
finally gun type’s recognition. Of the 505 images, 80 were
control or master images, and 425 were experimental images of
the eight gun types. The finding from the experiment indicated
that the GTMC was able to classify the images of the
semi-automatic gun with the highest accuracy of 99.06 percent,
and the average accurate gun image classification was 81.25
percent respectively.
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