Changes in a facial recognition algorithm following different types of orthognathic surgery: a comparative study
10.5125/jkaoms.2022.48.4.201
- Author:
Won-Yong KIM
1
;
Se Jin HAN
Author Information
1. Department of Oral and Maxillofacial Surgery, Dankook University Dental Hospital, Cheonan, Korea
- Publication Type:ORIGINAL ARTICLE
- From:Journal of the Korean Association of Oral and Maxillofacial Surgeons
2022;48(4):201-206
- CountryRepublic of Korea
- Language:English
-
Abstract:
Objectives:Contemporary biometric technologies have been gaining traction in both public and private security sectors. Facial recognition is the most commonly used biometric technology for this purpose. We aimed to evaluate the ability of a publicly available facial recognition application program interface to calculate similarity scores of presurgical and postsurgical photographs of patients who had orthognathic surgery.
Materials and Methods:Presurgical and postsurgical photographs of 75 patients who had orthognathic surgery between January 2018 and November 2020 in our department were used. Frontal photographs of patients in relaxed and smiling states were taken. The patients were classified into three groups: Group 2 had one-jaw surgery, Group 3 had two-jaw surgery to correct mandibular prognathism, and Group 4 had two-jaw surgery to correct facial asymmetry. For comparison, photographs of 10 participants were used as controls (Group 1). Two facial recognition application programs (Face X and Azure) were used to assess similarity scores.
Results:The similarity scores in the two programs showed significant results. The similarity score of the control group, which did not undergo orthognathic surgery, was the highest. The results for Group 2, Group 3, and Group 4 were higher in the order of Group 2, Group 3, and Group 4.
Conclusion:In this study, all orthodontic patients were recognized as the same person using the face recognition program before and after surgery. A significant difference in similarity results was obtained between the groups with both Face X and Azure and in both relaxed and smiling states.
