A new Computer Vision (CV) based method [1; 2] has been introduced for the automatic identification of unknown deceased individuals. This method involves extracting CV features from images, such as orthopantomograms (OPGs), and storing them in a CV database. CV features are distinctive visual attributes or characteristics extracted from images, enabling computers to analyze and understand visual information. The computer can recognize comparable CV features. If there is a high degree of similarity in CV features between the postmortem image and the antemortem reference image, the unknown deceased individual has been identified with a high probability.

The acquisition of postmortem OPGs is very challenging. Therefore, computer tomography (CT) is preferred for postmortem imaging. Nevertheless, limited research has been conducted to determine the extent to which CT images of the head facilitate unequivocal identification. Luis A. de Souza et al. [3] introduced a new method for person identification using frontal sinus features extracted from CT images of the skull. According to the literature review [4], is possible conclude that frontal and maxillary sinuses are useful tools for human identification.

This study aimed to extend an automatic CV-based identification method from OPGs to CT examinations using individual CT images.