Gray level co-occurrence and random forest algorithm-based gender determination with maxillary tooth plaster images

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dc.contributor.authorAkkoc, Betul
dc.contributor.authorArslan, Ahmet
dc.contributor.authorKok, Hatice
dc.date.accessioned2024-02-23T14:02:36Z
dc.date.available2024-02-23T14:02:36Z
dc.date.issued2016
dc.departmentNEÜen_US
dc.description.abstractGender is one of the intrinsic properties of identity, with performance enhancement reducing the cluster when a search is performed. Teeth have durable and resistant structure, and as such are important sources of identification in disasters (accident, fire, etc.). In this study, gender determination is accomplished by maxillary tooth plaster models of 40 people (20 males and 20 females). The images of tooth plaster models are taken with a lighting mechanism set-up. A gray level co-occurrence matrix of the image with segmentation is formed and classified via a Random Forest (RF) algorithm by extracting pertinent features of the matrix. Automatic gender determination has a 90% success rate, with an applicable system to determine gender from maxillary tooth plaster images. (C) 2016 Elsevier Ltd. All rights reserved.en_US
dc.description.sponsorshipTUBITAK (The Scientific and Technological Research Council of Turkey)en_US
dc.description.sponsorshipThe authors acknowledge TUBITAK (The Scientific and Technological Research Council of Turkey) for 2211 scholarship.en_US
dc.identifier.doi10.1016/j.compbiomed.2016.04.003
dc.identifier.endpage107en_US
dc.identifier.issn0010-4825
dc.identifier.issn1879-0534
dc.identifier.pmid27104495en_US
dc.identifier.scopus2-s2.0-84963542601en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage102en_US
dc.identifier.urihttps://doi.org/10.1016/j.compbiomed.2016.04.003
dc.identifier.urihttps://hdl.handle.net/20.500.12452/11751
dc.identifier.volume73en_US
dc.identifier.wosWOS:000378455700009en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofComputers In Biology And Medicineen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGender Determinationen_US
dc.subjectFeature Extractionen_US
dc.subjectImage Processingen_US
dc.subjectRandom Forest Algorithmen_US
dc.titleGray level co-occurrence and random forest algorithm-based gender determination with maxillary tooth plaster imagesen_US
dc.typeArticleen_US

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