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

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dc.authoridBasciftci, Fatih -- 0000-0003-1679-7416
dc.contributor.authorAvuçlu, Emre
dc.contributor.authorBasçiftçi, Fatih
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-16T09:16:55Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-16T09:16:55Z
dc.date.issued2018
dc.departmentAksaray Teknik Bilimler Meslek Yüksekokulu
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.
dc.description.sponsorshipSelcuk University Scientific Research Projects Coordinatorship /Konya, Turkey
dc.description.sponsorshipThis work is supported by the Selcuk University Scientific Research Projects Coordinatorship /Konya, Turkey.
dc.identifier.doi10.1016/j.asoc.2018.05.033
dc.identifier.endpage168en_US
dc.identifier.issn1568-4946
dc.identifier.issn1872-9681
dc.identifier.scopusqualityQ1
dc.identifier.startpage157en_US
dc.identifier.urihttps://doi.org/10.1016/j.asoc.2018.05.033
dc.identifier.urihttps://hdl.handle.net/20.500.12451/4674
dc.identifier.volume70en_US
dc.identifier.wosWOS:000443296000011
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Science Bv
dc.relation.ispartofApplied Soft Computing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAge and Gender Estimation
dc.subjectPanoramic Dental İmages
dc.subjectImage Processing Techniques
dc.subjectMulti-layer Perceptron
dc.subjectBack Propagation Algorithm
dc.titleNew approaches to determine age and gender in image processing techniques using multilayer perceptron neural network
dc.typeArticle

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