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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3C9KN6H
Repositorysid.inpe.br/sibgrapi/2012/07.13.21.16
Last Update2012:07.13.21.16.53 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2012/07.13.21.16.53
Metadata Last Update2022:06.14.00.07.33 (UTC) administrator
DOI10.1109/SIBGRAPI.2012.38
Citation KeyPintoPedrSchwRoch:2012:ViFaSp
TitleVideo-Based Face Spoofing Detection through Visual Rhythm Analysis
FormatDVD, On-line.
Year2012
Access Date2024, May 02
Number of Files1
Size3741 KiB
2. Context
Author1 Pinto, Allan da Silva
2 Pedrini, Helio
3 Schwartz, William Robson
4 Rocha, Anderson
Affiliation1 University of Campinas 
2 University of Campinas 
3 Universidade Federal de Minas Gerais 
4 University of Campinas
EditorFreitas, Carla Maria Dal Sasso
Sarkar, Sudeep
Scopigno, Roberto
Silva, Luciano
e-Mail Addressallansp84@gmail.com
Conference NameConference on Graphics, Patterns and Images, 25 (SIBGRAPI)
Conference LocationOuro Preto, MG, Brazil
Date22-25 Aug. 2012
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2012-09-20 16:45:34 :: allansp84@gmail.com -> administrator :: 2012
2022-03-08 21:03:24 :: administrator -> menottid@gmail.com :: 2012
2022-03-10 13:03:16 :: menottid@gmail.com -> administrator :: 2012
2022-06-14 00:07:33 :: administrator -> :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsBiometrics
Video-based Face Spoofing
Visual Rhythm
Gray-Level Co-occurrence Matrix
AbstractRecent advances on biometrics, information forensics, and security have improved the accuracy of biometric systems, mainly those based on facial information. However, an ever-growing challenge is the vulnerability of such systems to impostor attacks, in which users without access privileges try to authenticate themselves as valid users. In this work, we present a solution to video-based face spoofing to biometric systems. Such type of attack is characterized by presenting a video of a real user to the biometric system. To the best of our knowledge, this is the first attempt of dealing with video-based face spoofing based in the analysis of global information that is invariant to video content. Our approach takes advantage of noise signatures generated by the recaptured video to distinguish between fake and valid access. To capture the noise and obtain a compact representation, we use the Fourier spectrum followed by the computation of the visual rhythm and extraction of the gray-level co-occurrence matrices, used as feature descriptors. Results show the effectiveness of the proposed approach to distinguish between valid and fake users for video-based spoofing with near-perfect classification results.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2012 > Video-Based Face Spoofing...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Video-Based Face Spoofing...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3C9KN6H
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3C9KN6H
Languageen
Target Filepaper_camera_ready.pdf
User Groupallansp84@gmail.com
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SL8GS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.15.03.31 6
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage 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 volume


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