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dc.contributor.authorBarboza, Elizabeth Bonsaglia [UNESP]
dc.contributor.authorMarana, Aparecido Nilceu [UNESP]
dc.contributor.authorOliveira, Denise Tostes
dc.date.accessioned2014-05-27T11:27:06Z
dc.date.available2014-05-27T11:27:06Z
dc.date.issued2012-10-03
dc.identifierhttp://dx.doi.org/10.1109/ICB.2012.6199831
dc.identifier.citationProceedings - 2012 5th IAPR International Conference on Biometrics, ICB 2012, p. 348-353.
dc.identifier.urihttp://hdl.handle.net/11449/73649
dc.description.abstractDental recognition is very important for forensic human identification, mainly regarding the mass disasters, which have frequently happened due to tsunamis, airplanes crashes, etc. Algorithms for automatic, precise, and robust teeth segmentation from radiograph images are crucial for dental recognition. In this work we propose the use of a graph-based algorithm to extract the teeth contours from panoramic dental radiographs that are used as dental features. In order to assess our proposal, we have carried out experiments using a database of 1126 tooth images, obtained from 40 panoramic dental radiograph images from 20 individuals. The results of the graph-based algorithm was qualitatively assessed by a human expert who reported excellent scores. For dental recognition we propose the use of the teeth shapes as biometric features, by the means of BAS (Bean Angle Statistics) and Shape Context descriptors. The BAS descriptors showed, on the same database, a better performance (EER 14%) than the Shape Context (EER 20%). © 2012 IEEE.en
dc.format.extent348-353
dc.language.isoeng
dc.relation.ispartofProceedings - 2012 5th IAPR International Conference on Biometrics, ICB 2012
dc.sourceScopus
dc.subjectBiometric features
dc.subjectDental radiographs
dc.subjectDescriptors
dc.subjectGraph-based
dc.subjectGraph-based segmentation
dc.subjectHuman expert
dc.subjectHuman identification
dc.subjectRadiograph images
dc.subjectShape contexts
dc.subjectTeeth segmentation
dc.subjectAlgorithms
dc.subjectBiometrics
dc.subjectImage segmentation
dc.subjectGraphic methods
dc.titleSemiautomatic dental recognition using a graph-based segmentation algorithm and teeth shapes featuresen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.description.affiliationSão Paulo State University - UNESP School of Sciences, Bauru, São Paulo
dc.description.affiliationUniversity of São Paulo - USP Bauru School of Dentistry Bauru, São Paulo
dc.description.affiliationUnespSão Paulo State University - UNESP School of Sciences, Bauru, São Paulo
dc.identifier.doi10.1109/ICB.2012.6199831
dc.rights.accessRightsAcesso aberto
dc.identifier.scopus2-s2.0-84866792727
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências, Baurupt
dc.identifier.lattes6027713750942689
unesp.author.lattes6027713750942689[2]
unesp.author.orcid0000-0003-4861-7061[2]
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