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Changes in a facial recognition algorithm following different types of orthognathic surgery: a comparative study
1Department of Oral and Maxillofacial Surgery, Dankook University Dental Hospital, Cheonan, Korea.
Summary
Facial recognition technology accurately identified patients before and after orthognathic surgery. Similarity scores varied significantly between surgical groups, indicating potential for biometric applications in patient tracking.
Area of Science:
- Biometric technology
- Medical imaging
- Orthognathic surgery
Background:
- Facial recognition is a prevalent biometric technology.
- Orthognathic surgery alters facial structure.
- Evaluating biometric accuracy post-surgery is crucial.
Purpose of the Study:
- Assess facial recognition API performance on presurgical and postsurgical images.
- Determine similarity scores for orthognathic surgery patients.
- Compare accuracy across different surgical complexity groups.
Main Methods:
- Utilized 75 patients undergoing orthognathic surgery (2018-2020).
- Collected frontal photographs (relaxed and smiling states).
- Employed Face X and Azure facial recognition APIs for similarity scoring.
Main Results:
- Facial recognition accurately identified patients pre- and post-surgery.
- Significant differences in similarity scores observed between surgical groups.
- Control group (no surgery) exhibited the highest similarity score.
Conclusions:
- Facial recognition technology can reliably identify individuals before and after orthognathic procedures.
- Similarity scores differ based on surgical complexity, offering insights into facial changes.
- Biometric applications are feasible for tracking patients undergoing orthognathic surgery.
