Automated Process to assist comparative identification using Panoramic Radiographs in Dentistry

Processo automatizado para auxiliar na identificação comparativa

Abstract

Introduction: Comparative Identification through Panoramic Radiographs in Dentistry is a forensic investigation method that uses radiographic images to compare dental characteristics between different individuals. Objective: To propose a simplified automation process to assist in the comparative identification of patients in dentistry. Development: Image segmentation techniques, feature extraction, and machine learning were performed. The programming language used was Python 3.10, utilizing the Google Colab application, version 3.7.13. Additional language packages included Numpy, Matplotlib, and CV2. The project was submitted to the Ethics Committee and was approved with the protocol number 79354517000000075. The proposed program displays the main image and comparison images, showing the degree of similarity. The images are presented side by side, and identical colorations indicate similar locations. Final Considerations: The application demonstrates consistent potential for automation to optimize the workflow of the Forensic Dentist and enhance the quality of judicial expertise in Dentistry.