2025/01/07 by Khalilov, Sirojiddin, Khamdamov, Utkir, Omonullayeva, Farangiza
paper · doi:10.34920/icdgpdt.40
Currently, identifying human objects from video images around the world is somewhat difficult for scientific researchers engaged in computer vision. More effective methods for identifying a car, phone, cup and other objects in images are proposed. It is important to identify human objects from the images obtained by surveillance cameras in public places. Computer programs perform this process from scratch, meaning that the system is fed various images as input and after comparisons with a pre-stored database, the system identifies the person. In this paper, an approach for identifying different types of human faces through image processing has been developed. The Canny operator was used to determine the shapes of the objects in the input image.