dc.creatorPereira T.D.F.
dc.creatorKomulainen J.
dc.creatorAnjos A.
dc.creatorDe Martino J.M.
dc.creatorHadid A.
dc.creatorPietikainen M.
dc.creatorMarcel S.
dc.date2014
dc.date2015-06-25T17:54:01Z
dc.date2015-11-26T14:28:39Z
dc.date2015-06-25T17:54:01Z
dc.date2015-11-26T14:28:39Z
dc.date.accessioned2018-03-28T21:31:52Z
dc.date.available2018-03-28T21:31:52Z
dc.identifier
dc.identifierEurasip Journal On Image And Video Processing. Hindawi Publishing Corporation, v. 2014, n. , p. - , 2014.
dc.identifier16875176
dc.identifier10.1186/1687-5281-2014-2
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84901975380&partnerID=40&md5=ac51eb957384f22b4c3a88da86508597
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/86577
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/86577
dc.identifier2-s2.0-84901975380
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1246651
dc.descriptionUser authentication is an important step to protect information, and in this context, face biometrics is potentially advantageous. Face biometrics is natural, intuitive, easy to use, and less human-invasive. Unfortunately, recent work has revealed that face biometrics is vulnerable to spoofing attacks using cheap low-tech equipment. This paper introduces a novel and appealing approach to detect face spoofing using the spatiotemporal (dynamic texture) extensions of the highly popular local binary pattern operator. The key idea of the approach is to learn and detect the structure and the dynamics of the facial micro-textures that characterise real faces but not fake ones. We evaluated the approach with two publicly available databases (Replay-Attack Database and CASIA Face Anti-Spoofing Database). The results show that our approach performs better than state-of-the-art techniques following the provided evaluation protocols of each database. © 2014 Pereira et al.; licensee Springer.
dc.description2014
dc.description
dc.description
dc.description
dc.descriptionFlynn, P., Jain, A., Ross, A., (2008) Handbook of Biometrics, , Springer Science+Business Media, LLC, New York, USA
dc.descriptionLi, S., Jain, A., (2011) Handbook of Face Recognition, , Springer London Dordrecht Heidelberg, New York
dc.descriptionChingovska, I., Anjos, A., Marcel, S., On the effectiveness of local binary patterns in face anti-spoofing IEEE International Conference of the Biometrics Special Interest Group, (2012). , Darmstadt, 6-7 September
dc.descriptionPan, G., Sun, L., Wu, Z., Lao, S., Eyeblink-based anti-spoofing in face recognition from a generic webcamera (2007) IEEE 11th International Conference on Computer Vision, pp. 1-8. , Rio de Janeiro, 14-21 October
dc.descriptionTan, X., Li, Y., Liu, J., Jiang, L., Face liveness detection from a single image with sparse low rank bilinear discriminative model (2010) 11th European Conference on Computer Vision: Part VI. ECCV'10, pp. 504-517. , Heraklion, Crete, Greece, 5-11 September
dc.descriptionZhang, Z., Yan, J., Liu, S., Lei, Z., Yi, D., Li, S.Z., A face antispoofing database with diverse attacks (2012) Proceedings of 5th IAPR International Conference on Biometrics (ICB'12), , New Delhi, India, 29 March - 1 April
dc.descriptionChakka, M., Anjos, A., Marcel, S., Tronci, R., Muntoni, D., Fadda, G., Pili, M., Pietikäinen, M., Competition on counter measures to 2-D facial spoofing attacks (2011) IAPR IEEE International Joint Conference on Biometrics, , Washington DC, USA, 11-13 October
dc.descriptionUludag, U., Jain, A., Attacks on biometric systems: A case study in fingerprints (2004) Proc. SPIE-EI, pp. 622-633. , San Rose CA, USA, 18-22 January
dc.descriptionLeyden, J., Gummi bears defeat fingerprint sensors (2002) The Register, 16. , http://www.theregister.co.uk/2002/05/16/ gummi_bears_defeat_fingerprint_sensors/
dc.descriptionMatsumoto, T., Matsumoto, H., Yamada, K., Hoshino, S., Impact of artificial gummy fingers on fingerprint systems (2002) Proceedings of SPIE - The International Society for Optical Engineering, 4677, pp. 275-289. , DOI 10.1117/12.462719
dc.descriptionJohnson, P., Tan, B., Schuckers, S., Multimodal fusion vulnerability to non-zero effort (spoof) imposters (2010) IEEE Informational Workshop on Information Forensics and Security, pp. 1-5. , Seattle, USA, 12-15 December
dc.descriptionKanematsu, M., Takano, H., Nakamura, K., Highly reliable liveness detection method for iris recognition (2007) International Conference on Instrumentation, Control and Information Technology, pp. 361-364. , Takamatsu, 17-20 September
dc.descriptionPacut, A., Czajka, A., A liveness detection for iris biometrics (2006) 40th Annual IEEE International Carnahan Conferences Security Technology, pp. 122-129. , Lexington, KY, October
dc.descriptionChetty, G., Wagner, M., Liveness verification in audio-video speaker authentication (2004) Proceeding of International Conference on Spoken Language Processing ICSLP, 4, pp. 2509-2512. , Jeju Island, Korea, 4-8 October
dc.descriptionEveno, N., Besacier, L., A speaker independent "liveness" test for audio-visual biometrics (2005) 9th European Conference on Speech Communication and Technology, , Lisbon, 4-8 September
dc.descriptionBai, J., Ng, T.T., Gao, X., Shi, Y.Q., Is physics-based liveness detection truly possible with a single image? (2010) IEEE International Symposiumon Circuits and Systems (ISCAS), pp. 3425-3428. , Paris, 30 May - 2 June
dc.descriptionMäättä, J., Hadid, A., Pietikäinen, M., Face spoofing detection from single images using micro-texture analysis (2011) IAPR IEEE International Joint Conference on Biometrics, , Washington DC, USA, 11-13 October
dc.descriptionPereira, T.F., Anjos, A., De Martino, J.M., Marcel, S., LBP-TOP based countermeasure against facial spoofing attacks (2012) International Workshop on Computer Vision with Local Binary Pattern Variants - ACCV, , Daejeon, Korea, 5-6 November
dc.descriptionKomulainen, J., Hadid, A., Pietikäinen, M., Face spoofing detection using dynamic texture (2012) International Workshop on Computer Vision with Local Binary Pattern Variants - ACCV, , Daejeon, Korea, 5-6 November
dc.descriptionPietikäinen, M., Hadid, A., Zhao, G., Ahonen, T., (2011) Computer Vision Using Local Binary Patterns, 40. , Springer
dc.descriptionZhao, G., Pietikainen, M., Dynamic texture recognition using local binary patterns with an application to facial expressions (2007) IEEE Transactions on Pattern Analysis and Machine Intelligence, 29 (6), pp. 915-928. , DOI 10.1109/TPAMI.2007.1110
dc.descriptionKollreider, K., Fronthaler, H., Bigun, J., Non-intrusive liveness detection by face images (2009) Elsevier Image and Vision Computing, 27, pp. 233-244
dc.descriptionAnjos, A., Marcel, S., Counter-measures to photo attacks in face recognition: A public database and a baseline (2011) IAPR IEEE International Joint Conference on Biometrics, , Washington DC, USA, 11-13 October
dc.descriptionLi, J., Wang, Y., Tan, T., Jain, A., Live face detection based on the analysis of fourier spectra (2004) Biometric Technology for Human Identification, 5404, pp. 296-303
dc.descriptionTrefný, J., Matas, J., Extended set of local binary patterns for rapid object detection (2010) 15th Computer Vision Winter Workshop, 2010. , Czech Republic, 3-5 February
dc.descriptionOjala, T., Pietikäinen, M., Harwood, D., A comparative study of texture measures with classification based on feature distributions (1996) Pattern Recognit., 29, pp. 51-59
dc.descriptionOjala, T., Pietikainen, M., Maenpaa, T., Multiresolution gray-scale and rotation invariant texture classification with local binary patterns (2002) IEEE Transactions on Pattern Analysis and Machine Intelligence, 24 (7), pp. 971-987. , DOI 10.1109/TPAMI.2002.1017623
dc.descriptionFroba, B., Ernst, A., Face detection with the modified census transform (2004) Automatic Face and Gesture Recognition, 2004. Proceedings. Sixth IEEE International Conference on, pp. 91-96. , Seoul, South Korea, 17-19 May
dc.descriptionAnjos, A., El Shafey, L., Wallace, R., Günther, M., McCool, C., Marcel, S., Bob: A free signal processing and machine learning toolbox for researchers (2012) 20th ACMConference OnMultimedia Systems, , Nara, Japan, 22-24 February
dc.descriptionKomulainen, J., Anjos, A., Hadid, A., Marcel, S., Pietikäinen, M., Complementary countermeasures for detecting scenic face spoofing attacks (2013) 6th IAPR International Conference on Biometrics, , Madrid, 4-7 June
dc.languageen
dc.publisherHindawi Publishing Corporation
dc.relationEurasip Journal on Image and Video Processing
dc.rightsaberto
dc.sourceScopus
dc.titleFace Liveness Detection Using Dynamic Texture
dc.typeArtículos de revistas


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