INVESTIGATION OF THE RELATIONSHIP BETWEEN SEPTORHINOPLASTY AND FACIAL RECOGNITION SYSTEMS

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dc.contributor.authorTure, Nurullah
dc.contributor.authorSubasi, Bugra
dc.contributor.authorAkyol, Serel
dc.contributor.authorGungor, Emre
dc.contributor.authorAksoy, Cemal
dc.date.accessioned2026-07-01T11:39:27Z
dc.date.available2026-07-01T11:39:27Z
dc.date.issued2025
dc.departmentDüzce Üniversitesi
dc.description.abstractObjectives: To investigate the temporal verification performance of the facial recognition systems after septorhinoplasty. Materialand Method: The study population included male and female patients who underwent septorhinoplasty at our institution between January 2022 and December 2023. Pre-and postoperative photographs were taken at 1, 2, and 4 weeks using the same camera, under the same distance, and under the same lighting conditions. In this technique-agnostic study, the analysis focused on the overall effect of the procedure rather than the impact of specific surgical manoeuvres. The change over time (preoperative, postoperative weeks 1, 2, 4) was compared based on the mean distance values in the face recognition systems. Results: The evaluation was conducted on 119 patients, comprising 75 females and 44 males with a mean age of 26.9 +/- 7.34 years (range, 18-56 years). When the accuracy rates of the face recognition systems were evaluated, the highest performance rate was obtained with the Euclidean metric for the VGG-Face system (94.85%). Among the face extraction methods, the RetinaFace (99.40%) and Mtcnn (99.19%) methods had the highest accuracy rates with the Euclidean metric in the VGG-Face face recognition system. There was a significant correlation between the mean distance value (0.378) in the preoperative-postoperative 2ndweek evaluation (0-2) and the mean distance value (0.279) in the 2nd-4th week evaluation (r=0.747, p=0.004). Conclusions: The alteration of facial components and appearance following septorhinoplasty remains a challenge for postoperative biometric verification using current facial recognition technolo gies. Rhinologists should be aware of the relationship between septorhinoplasty and facial recognition systems.
dc.identifier.dergipark1663570
dc.identifier.doi10.26650/IUITFD.1663570
dc.identifier.endpage279
dc.identifier.issn1305-6441
dc.identifier.issue4
dc.identifier.orcid0000-0003-4278-6294
dc.identifier.scopus2-s2.0-105025931183
dc.identifier.scopusqualityQ4
dc.identifier.startpage270
dc.identifier.urihttps://doi.org/10.26650/IUITFD.1663570
dc.identifier.urihttps://hdl.handle.net/20.500.12684/23299
dc.identifier.volume88
dc.identifier.wosWOS:001615943500004
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIstanbul Univ, Fac Medicine, Publ Off
dc.relation.ispartofJournal of Istanbul Faculty of Medicine-Istanbul Tip Fakultesi Dergisi
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20260623
dc.subjectFacial Recognition Technology
dc.subjectSeptorhinoplasty
dc.subjectBiometric Identification
dc.subjectRhinoplasty
dc.subjectDeep Learning
dc.titleINVESTIGATION OF THE RELATIONSHIP BETWEEN SEPTORHINOPLASTY AND FACIAL RECOGNITION SYSTEMS
dc.typeArticle

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