New approaches to determine age and gender in image processing techniques using multilayer perceptron neural network

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dc.contributor.authorAvuclu, Emre
dc.contributor.authorBasciftci, Fatih
dc.date.accessioned2020-03-26T19:54:47Z
dc.date.available2020-03-26T19:54:47Z
dc.date.issued2018
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractAs a result of some events (disasters, inheritance, disappearances etc.), age and gender determination can be vital for people. Forensic medical institutions make the determination of age by examining the structures such as teeth and bones. Procedures for forensic science are currently estimated manually according to certain morphological findings on the tooth. In this study, 1313 panoramic dental images were used automatically to estimate age. Image preprocessing is applied on these images. Trapezoidal teeth are corrected in the coordinate plane to obtain more accurate and standard results. In the study, the correction process is done with original and novel developed algorithm. Dental images are automatically and dynamically segmented and feature vectors are created by extracting their features. The generated feature vectors are dynamic and presented as inputs to the Multilayer Perceptron Neural Network. Depending on the request, the number of input count reduction process can be performed. In this study, age and gender were determined from dental x-ray images with novel and originally developed algorithm. The application is written in C # programming language. In some tooth groups, the highest classification rate of 100% and age determination with 0 error were performed. With this study, age determination in forensic science will be more accurate. (C) 2018 Elsevier B.V. All rights reserved.en_US
dc.description.sponsorshipSelcuk University Scientific Research Projects Coordinatorship /Konya, TurkeySelcuk Universityen_US
dc.description.sponsorshipThis work is supported by the Selcuk University Scientific Research Projects Coordinatorship /Konya, Turkey.en_US
dc.identifier.doi10.1016/j.asoc.2018.05.033en_US
dc.identifier.endpage168en_US
dc.identifier.issn1568-4946en_US
dc.identifier.issn1872-9681en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage157en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.asoc.2018.05.033
dc.identifier.urihttps://hdl.handle.net/20.500.12395/36798
dc.identifier.volume70en_US
dc.identifier.wosWOS:000443296000011en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherELSEVIERen_US
dc.relation.ispartofAPPLIED SOFT COMPUTINGen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectAge and gender estimationen_US
dc.subjectPanoramic dental imagesen_US
dc.subjectImage processing techniquesen_US
dc.subjectMulti-layer perceptronen_US
dc.subjectBack propagation algorithmen_US
dc.titleNew approaches to determine age and gender in image processing techniques using multilayer perceptron neural networken_US
dc.typeArticleen_US

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