Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2007: administrator
Metadata Last Update2020: administrator
Citation KeyFalgueraFalgMara:2007:FrSiRe
TitleFrontal Sinus Recognition Using Image Foresting Transform and Shape Context
DateOct. 7-10, 2007
Access Date2021, Jan. 16
Number of Files1
Size97 KiB
Context area
Author1 Falguera, Juan Rogelio
2 Falguera, Fernanda Pereira Sartori
3 Marana, Aparecido Nilceu
Affiliation1 UNESP - School of Sciences - Department of Computing - Bauru - SP - Brazil
2 UNESP - School of Sciences - Department of Computing - Bauru - SP - Brazil
3 UNESP - School of Sciences - Department of Computing - Bauru - SP - Brazil
EditorGonçalves, Luiz
Wu, Shin Ting
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
Conference LocationBelo Horizonte
Book TitleProceedings
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Tertiary TypeTechnical Poster
History2008-07-17 14:09:45 :: -> administrator ::
2009-08-13 20:38:42 :: administrator -> banon ::
2010-08-28 20:02:32 :: banon -> administrator ::
2020-02-19 03:06:19 :: administrator -> :: 2007
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Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
Keywordsbiometrics, human identification, frontal sinus recognition.
AbstractIt has been established in prior investigations that the radiographic pattern of frontal sinus is highly variable and unique for every individual. This paper presents a frontal sinus recognition method, for human identification, based on DIFT and Shape Context algorithms. Experimental results show the effectiveness of the proposed method.
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