Frontal sinus recognition for human identification

Detalhes bibliográficos
Autor(a) principal: Falguera, Juan Rogelio [UNESP]
Data de Publicação: 2008
Outros Autores: Pereira, Sérgio [UNESP], Marana, Aparecido Nilceu [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1117/12.777706
http://hdl.handle.net/11449/132334
Resumo: Many methods based on biometrics such as fingerprint, face, iris, and retina have been proposed for person identification. However, for deceased individuals, such biometric measurements are not available. In such cases, parts of the human skeleton can be used for identification, such as dental records, thorax, vertebrae, shoulder, and frontal sinus. It has been established in prior investigations that the radiographic pattern of frontal sinus is highly variable and unique for every individual. This has stimulated the proposition of measurements of the frontal sinus pattern, obtained from x-ray films, for skeletal identification. This paper presents a frontal sinus recognition method for human identification based on Image Foresting Transform and shape context. Experimental results (ERR = 5,82%) have shown the effectiveness of the proposed method.
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spelling Frontal sinus recognition for human identificationBiometricsFrontal sinus recognitionHuman identificationBiometric measurementsDental recordsFrontal sinusHuman skeletonImage foresting transformsPerson identificationRecognition methodsShape contextsX ray radiographyFace recognitionMany methods based on biometrics such as fingerprint, face, iris, and retina have been proposed for person identification. However, for deceased individuals, such biometric measurements are not available. In such cases, parts of the human skeleton can be used for identification, such as dental records, thorax, vertebrae, shoulder, and frontal sinus. It has been established in prior investigations that the radiographic pattern of frontal sinus is highly variable and unique for every individual. This has stimulated the proposition of measurements of the frontal sinus pattern, obtained from x-ray films, for skeletal identification. This paper presents a frontal sinus recognition method for human identification based on Image Foresting Transform and shape context. Experimental results (ERR = 5,82%) have shown the effectiveness of the proposed method.UNESP School of Science Department of Computing, Bauru - SPUNESP School of Science Department of Computing, Bauru - SPSpie - Int Soc Optical EngineeringUniversidade Estadual Paulista (Unesp)Falguera, Juan Rogelio [UNESP]Pereira, Sérgio [UNESP]Marana, Aparecido Nilceu [UNESP]2014-05-27T11:23:43Z2014-05-27T11:23:43Z2008-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectS9440-S9440http://dx.doi.org/10.1117/12.777706Biometric Technology For Human Identification V. Bellingham: Spie-int Soc Optical Engineering, v. 6944, p. S9440-S9440, 2008.0277-786Xhttp://hdl.handle.net/11449/13233410.1117/12.777706WOS:0002573719000242-s2.0-79959326943537415932205824860277137509426890000-0003-0030-8198Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of SPIE - The International Society for Optical Engineeringinfo:eu-repo/semantics/openAccess2024-04-23T16:11:34Zoai:repositorio.unesp.br:11449/132334Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:49:18.085230Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Frontal sinus recognition for human identification
title Frontal sinus recognition for human identification
spellingShingle Frontal sinus recognition for human identification
Falguera, Juan Rogelio [UNESP]
Biometrics
Frontal sinus recognition
Human identification
Biometric measurements
Dental records
Frontal sinus
Human skeleton
Image foresting transforms
Person identification
Recognition methods
Shape contexts
X ray radiography
Face recognition
title_short Frontal sinus recognition for human identification
title_full Frontal sinus recognition for human identification
title_fullStr Frontal sinus recognition for human identification
title_full_unstemmed Frontal sinus recognition for human identification
title_sort Frontal sinus recognition for human identification
author Falguera, Juan Rogelio [UNESP]
author_facet Falguera, Juan Rogelio [UNESP]
Pereira, Sérgio [UNESP]
Marana, Aparecido Nilceu [UNESP]
author_role author
author2 Pereira, Sérgio [UNESP]
Marana, Aparecido Nilceu [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Falguera, Juan Rogelio [UNESP]
Pereira, Sérgio [UNESP]
Marana, Aparecido Nilceu [UNESP]
dc.subject.por.fl_str_mv Biometrics
Frontal sinus recognition
Human identification
Biometric measurements
Dental records
Frontal sinus
Human skeleton
Image foresting transforms
Person identification
Recognition methods
Shape contexts
X ray radiography
Face recognition
topic Biometrics
Frontal sinus recognition
Human identification
Biometric measurements
Dental records
Frontal sinus
Human skeleton
Image foresting transforms
Person identification
Recognition methods
Shape contexts
X ray radiography
Face recognition
description Many methods based on biometrics such as fingerprint, face, iris, and retina have been proposed for person identification. However, for deceased individuals, such biometric measurements are not available. In such cases, parts of the human skeleton can be used for identification, such as dental records, thorax, vertebrae, shoulder, and frontal sinus. It has been established in prior investigations that the radiographic pattern of frontal sinus is highly variable and unique for every individual. This has stimulated the proposition of measurements of the frontal sinus pattern, obtained from x-ray films, for skeletal identification. This paper presents a frontal sinus recognition method for human identification based on Image Foresting Transform and shape context. Experimental results (ERR = 5,82%) have shown the effectiveness of the proposed method.
publishDate 2008
dc.date.none.fl_str_mv 2008-12-01
2014-05-27T11:23:43Z
2014-05-27T11:23:43Z
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 http://dx.doi.org/10.1117/12.777706
Biometric Technology For Human Identification V. Bellingham: Spie-int Soc Optical Engineering, v. 6944, p. S9440-S9440, 2008.
0277-786X
http://hdl.handle.net/11449/132334
10.1117/12.777706
WOS:000257371900024
2-s2.0-79959326943
5374159322058248
6027713750942689
0000-0003-0030-8198
url http://dx.doi.org/10.1117/12.777706
http://hdl.handle.net/11449/132334
identifier_str_mv Biometric Technology For Human Identification V. Bellingham: Spie-int Soc Optical Engineering, v. 6944, p. S9440-S9440, 2008.
0277-786X
10.1117/12.777706
WOS:000257371900024
2-s2.0-79959326943
5374159322058248
6027713750942689
0000-0003-0030-8198
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings of SPIE - The International Society for Optical Engineering
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv S9440-S9440
dc.publisher.none.fl_str_mv Spie - Int Soc Optical Engineering
publisher.none.fl_str_mv Spie - Int Soc Optical Engineering
dc.source.none.fl_str_mv Scopus
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_ 1808129555766968320

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