Gender Determination from Teeth Images via Hybrid Feature Extraction Method

Basit Öğe Kaydı
dc.contributor.authorUzbas, Betul
dc.contributor.authorArslan, Ahmet
dc.contributor.authorKok, Hatice
dc.contributor.authorAcilar, Ayse Merve
dc.date.accessioned2024-02-23T13:39:00Z
dc.date.available2024-02-23T13:39:00Z
dc.date.issued2020
dc.departmentNEÜen_US
dc.descriptionInternational Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME) -- APR 20-22, 2019 -- Antalya, TURKEYen_US
dc.description.abstractTeeth are a significant resource for determining the features of an unknown person, and gender is one of the important pieces of demographic information. For this reason, gender analysis from teeth is a current topic of research. Previous literature on gender determination have generally used values obtained through manual measurements of the teeth, gingiva, and lip area. However, such methods require extra effort and time. Furthermore, since sexual dimorphism varies among populations, it is necessary to know the optimum values for each population. This study uses a hybrid feature extraction method and a Support Vector Machine (SVM) for gender determination from teeth images. The study group was composed of 60 Turkish individuals (30 female, 30 male) between the ages of 19 and 27. Features were automatically extracted from the intraoral images through a hybrid method that combines two-dimensional Discrete Wavelet Transformation (DWT) and Principle Component Analysis (PCA). Classification was performed from these features through SVM. The system can be easily used on any population and can perform fast and low-cost gender determination without requiring any extra effort.en_US
dc.identifier.doi10.1007/978-3-030-36178-5_34
dc.identifier.endpage456en_US
dc.identifier.isbn978-3-030-36178-5
dc.identifier.isbn978-3-030-36177-8
dc.identifier.issn2367-4512
dc.identifier.scopus2-s2.0-85083427203en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage446en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-36178-5_34
dc.identifier.urihttps://hdl.handle.net/20.500.12452/10669
dc.identifier.volume43en_US
dc.identifier.wosWOS:000678771000034en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer International Publishing Agen_US
dc.relation.ispartofArtificial Intelligence And Applied Mathematics In Engineering Problemsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[Keyword Not Available]en_US
dc.titleGender Determination from Teeth Images via Hybrid Feature Extraction Methoden_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu