DENTAL BIOMETRICS: HUMAN IDENTIFICATION BASED ON DENTAL WORK INFORMATION

Detalhes bibliográficos
Autor(a) principal: Hofer, M.
Data de Publicação: 2008
Outros Autores: Marana, A. N. [UNESP], Schreier, G., Hayn, D., Ammenwerth, E.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/195956
Resumo: Dental biometrics is used in forensic dentistry to identify or verify persons based on their dental radiographs. This paper presents a method for human identification based on dental work information. The proposed method works with three main processing steps: segmentation (feature extraction), creation of a dental code, and matching. In the segmentation step, seed points of the dental works are detected by thresholding. The final segmentation is obtained with a snake (active contour) algorithm. The dental code is defined from the position (upper or lower), the size of the dental works, and distance between neighboring dental works. The matching stage is performed with the Edit distance (Levenshtein distance). The costs for the insertion, deletion and substitution operations were adapted to make the matching algorithm more sensitive. The method was tested on a database including 68 dental radiographs and the results are encouraging.
id UNSP_505509354fcdb050e29472421b9094d1
oai_identifier_str oai:repositorio.unesp.br:11449/195956
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling DENTAL BIOMETRICS: HUMAN IDENTIFICATION BASED ON DENTAL WORK INFORMATIONDental biometrics is used in forensic dentistry to identify or verify persons based on their dental radiographs. This paper presents a method for human identification based on dental work information. The proposed method works with three main processing steps: segmentation (feature extraction), creation of a dental code, and matching. In the segmentation step, seed points of the dental works are detected by thresholding. The final segmentation is obtained with a snake (active contour) algorithm. The dental code is defined from the position (upper or lower), the size of the dental works, and distance between neighboring dental works. The matching stage is performed with the Edit distance (Levenshtein distance). The costs for the insertion, deletion and substitution operations were adapted to make the matching algorithm more sensitive. The method was tested on a database including 68 dental radiographs and the results are encouraging.Carinthia Univ Appl Sci, Klagenfurt, AustriaUNESP, Dept Comp, Fac Ciencias, Bauru, SP, BrazilUNESP, Dept Comp, Fac Ciencias, Bauru, SP, BrazilOsterreichische Computer Gesellschaft-ocgCarinthia Univ Appl SciUniversidade Estadual Paulista (Unesp)Hofer, M.Marana, A. N. [UNESP]Schreier, G.Hayn, D.Ammenwerth, E.2020-12-10T18:31:03Z2020-12-10T18:31:03Z2008-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject165-173Ehealth2008 - Medical Informatics Meets Ehealth. Wien: Osterreichische Computer Gesellschaft-ocg, p. 165-173, 2008.http://hdl.handle.net/11449/195956WOS:000282817600026Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEhealth2008 - Medical Informatics Meets Ehealthinfo:eu-repo/semantics/openAccess2024-04-23T16:11:27Zoai:repositorio.unesp.br:11449/195956Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:03:02.957632Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv DENTAL BIOMETRICS: HUMAN IDENTIFICATION BASED ON DENTAL WORK INFORMATION
title DENTAL BIOMETRICS: HUMAN IDENTIFICATION BASED ON DENTAL WORK INFORMATION
spellingShingle DENTAL BIOMETRICS: HUMAN IDENTIFICATION BASED ON DENTAL WORK INFORMATION
Hofer, M.
title_short DENTAL BIOMETRICS: HUMAN IDENTIFICATION BASED ON DENTAL WORK INFORMATION
title_full DENTAL BIOMETRICS: HUMAN IDENTIFICATION BASED ON DENTAL WORK INFORMATION
title_fullStr DENTAL BIOMETRICS: HUMAN IDENTIFICATION BASED ON DENTAL WORK INFORMATION
title_full_unstemmed DENTAL BIOMETRICS: HUMAN IDENTIFICATION BASED ON DENTAL WORK INFORMATION
title_sort DENTAL BIOMETRICS: HUMAN IDENTIFICATION BASED ON DENTAL WORK INFORMATION
author Hofer, M.
author_facet Hofer, M.
Marana, A. N. [UNESP]
Schreier, G.
Hayn, D.
Ammenwerth, E.
author_role author
author2 Marana, A. N. [UNESP]
Schreier, G.
Hayn, D.
Ammenwerth, E.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Carinthia Univ Appl Sci
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Hofer, M.
Marana, A. N. [UNESP]
Schreier, G.
Hayn, D.
Ammenwerth, E.
description Dental biometrics is used in forensic dentistry to identify or verify persons based on their dental radiographs. This paper presents a method for human identification based on dental work information. The proposed method works with three main processing steps: segmentation (feature extraction), creation of a dental code, and matching. In the segmentation step, seed points of the dental works are detected by thresholding. The final segmentation is obtained with a snake (active contour) algorithm. The dental code is defined from the position (upper or lower), the size of the dental works, and distance between neighboring dental works. The matching stage is performed with the Edit distance (Levenshtein distance). The costs for the insertion, deletion and substitution operations were adapted to make the matching algorithm more sensitive. The method was tested on a database including 68 dental radiographs and the results are encouraging.
publishDate 2008
dc.date.none.fl_str_mv 2008-01-01
2020-12-10T18:31:03Z
2020-12-10T18:31:03Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv Ehealth2008 - Medical Informatics Meets Ehealth. Wien: Osterreichische Computer Gesellschaft-ocg, p. 165-173, 2008.
http://hdl.handle.net/11449/195956
WOS:000282817600026
identifier_str_mv Ehealth2008 - Medical Informatics Meets Ehealth. Wien: Osterreichische Computer Gesellschaft-ocg, p. 165-173, 2008.
WOS:000282817600026
url http://hdl.handle.net/11449/195956
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Ehealth2008 - Medical Informatics Meets Ehealth
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 165-173
dc.publisher.none.fl_str_mv Osterreichische Computer Gesellschaft-ocg
publisher.none.fl_str_mv Osterreichische Computer Gesellschaft-ocg
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808128232463007744