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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3S44J3S
Repositorysid.inpe.br/sibgrapi/2018/10.21.17.37
Last Update2018:10.21.17.37.17 (UTC) rcbresan@gmail.com
Metadata Repositorysid.inpe.br/sibgrapi/2018/10.21.17.37.17
Metadata Last Update2022:05.18.22.18.34 (UTC) administrator
Citation KeyBresanRezeBeluCarv:2018:PrAtDe
TitlePresentation Attack Detection by a Combination of Intrinsic Image Properties and a CNN
FormatOn-line
Year2018
Access Date2025, May 10
Number of Files1
Size1019 KiB
2. Context
Author1 Bresan, Rodrigo
2 Rezende, Edmar
3 Beluzo, Carlos
4 Carvalho, Tiago
Affiliation1 Federal Institute of Sao Paulo (IFSP)
2 University of Campinas (UNICAMP)
3 Federal Institute of Sao Paulo (IFSP)
4 Federal Institute of Sao Paulo (IFSP), University of Campinas (UNICAMP)
EditorRoss, Arun
Gastal, Eduardo S. L.
Jorge, Joaquim A.
Queiroz, Ricardo L. de
Minetto, Rodrigo
Sarkar, Sudeep
Papa, João Paulo
Oliveira, Manuel M.
Arbeláez, Pablo
Mery, Domingo
Oliveira, Maria Cristina Ferreira de
Spina, Thiago Vallin
Mendes, Caroline Mazetto
Costa, Henrique Sérgio Gutierrez
Mejail, Marta Estela
Geus, Klaus de
Scheer, Sergio
e-Mail Addressrcbresan@gmail.com
Conference NameConference on Graphics, Patterns and Images, 31 (SIBGRAPI)
Conference LocationFoz do Iguaçu, PR, Brazil
Date29 Oct.-1 Nov. 2018
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeUndergraduate Work
History (UTC)2018-10-21 17:37:17 :: rcbresan@gmail.com -> administrator ::
2022-05-18 22:18:34 :: administrator -> :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsbiometrics
presentation attack detection
PAD
intrinsic properties
anti-spoofing
facial recognition
AbstractThe usage of face recognition for biometric systems has become widely adopted, since it allows the usage of a trait that is accessible to most of the people. Despite important progress on the field of face recognition, there is still a lack of works whose focus consists on the detection of presentation attacks. Presentation attacks occur when an imposter presents a synthetic sample in order to impersonate a valid user. For face biometric systems, this kind of attack is performed using a photograph, by playing a video of the user (commonly known as replay attack) or by making usage of 3D masks. Hereby, we propose a low-cost solution to detect these kind of attacks without the need of extra hardware. Our hypothesis is based on the fact that, through the extraction of intrinsic image properties, such as depth, saliency and illumination, it is possible to distinguish between a real biometric sample and a synthetic one. Performed experiments show that the proposed method achieved HTER values of 41.64% and 3.88% in inter and intra protocols respectively, achieving near state-of-the-art results.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2018 > Presentation Attack Detection...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3S44J3S
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3S44J3S
Languageen
Target Filesibgrapi_correcoes (7).pdf
User Grouprcbresan@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3RPADUS
Citing Item Listsid.inpe.br/sibgrapi/2018/09.03.20.37 41
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume


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