Lbp-top Based Countermeasure Against Face Spoofing Attacks

User authentication is an important step to protect information and in this field face biometrics is advantageous. Face biometrics is natural, easy to use and less human-invasive. Unfortunately, recent work has revealed that face biometrics is vulnerable to spoofing attacks using low-tech cheap equipments. This article presents a countermeasure against such attacks based on the LBP-TOP operator combining both space and time information into a single multiresolution texture descriptor. Experiments carried out with the REPLAY ATTACK database show a Half Total Error Rate (HTER) improvement from 15.16% to 7.60%. © 2013 Springer-Verlag.7728 LNCSPART 1121132Ahonen, T., Hadid, A., Pietikainen, M., Face Description with Local Binary Patterns: Application to Face Recognition (2006) IEEE Transactions on Pattern Analysis and Machine Inteligence, 28, pp. 2037-2041Anjos, A., El Shafey, L., Wallace, R., Günther, M., McCool, C., Marcel, S., Bob: A free signal processing and machine learning toolbox for researchers 20th ACM Conference on Multimedia Systems (ACMMM), Nara, Japan (2012)Anjos, A., Marcel, S., Counter-measures to photo attacks in face recognition: A public database and a baseline IAPR IEEE International Joint Conference on Biometrics (IJCB), Washington DC, USA (2011)Chakka, M., Anjos, A., Marcel, S., Tronci, R., Muntoni, D., Fadda, G., Pili, M., Zhang, Z., Competition on counter measures to 2-d facial spoofing attacks IAPR IEEE International Joint Conference on Biometrics (IJCB), Washington DC, USA (2011)Chetty, G., Wagner, M., Liveness verification in audio-video speaker authentication (2004) Proceeding of International Conference on Spoken Language Processing, ICSLP, 4, pp. 2509-2512Chingovska, I., Anjos, A., Marcel, S., On the effectiveness of local binary patterns in face anti-spoofing (2012) IEEE BIOSIG 2012Eveno, N., Besacier, L., A speaker independent "liveness" test for audio-visual biometrics Ninth European Conference on Speech Communication and Technology (2005)Flynn, P., Jain, A., Ross, A., (2008) Handbook of Biometrics, , SpringerFroba, B., Ernst, A., Face detection with the modified census transform (2004) 2004 Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 91-96. , IEEEInen, M., Pietikäinen, M., Hadid, A., Zhao, G., Ahonen, T., (2011) Computer Vision Using Local Binary Patterns, 40. , SpringerJohnson, P., Tan, B., Schuckers, S., Multimodal fusion vulnerability to non-zero effort (spoof) imposters (2010) 2010 IEEE International Workshop on Information Forensics and Security (WIFS), pp. 1-5. , IEEEKanematsu, M., Takano, H., Nakamura, K., Highly reliable liveness detection method for iris recognition (2007) 2007 Annual Conference, SICE, pp. 361-364. , IEEEKollreider, K., Fronthaler, H., Bigun, J., Non-intrusive liveness detection by face images (2009) Image and Vision Computing, 27, pp. 233-244Leyden, J., Gummi bears defeat fingerprint sensors (2002) The Register, , 16Li, 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. 296-303Li, S., Jain, A., (2011) Handbook of Face Recognition, , SpringerMaatta, J., Hadid, A., Pietikäinen, M., Face spoofing detection from single images using texture and local shape analysis (2012) IET Biometrics, 1, pp. 3-10Matsumoto, T., Matsumoto, H., Yamada, K., Hoshino, S., Impact of artificial gummy fingers on fingerprint systems (2002) Proceedings of SPIE, 4677, pp. 275-289Pacut, A., Czajka, A., Aliveness detection for iris biometrics (2006) Proceedings of the 2006 40th Annual IEEE International Carnahan Conferences Security Technology, pp. 122-129. , IEEEPan, 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, ICCV 2007, pp. 1-8. , IEEETan, X., Li, Y., Liu, J., Jiang, L., Face Liveness Detection from a Single Image with Sparse Low Rank Bilinear Discriminative Model (2010) LNCS, 6316, pp. 504-517. , Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part VI. Springer, HeidelbergTrefnỳ, J., Matas, J., Extended set of local binary patterns for rapid object detection (2010) Proceedings of the Computer Vision Winter Workshop, 2010Uludag, U., Jain, A., Attacks on biometric systems: A case study in fingerprints (2004) Proc. SPIE-EI, pp. 622-633Zhang, Z., Yan, J., Liu, S., Lei, Z., Yi, D., Li, S., A face antispoofing database with diverse attacks (2012) 2012 5th IAPR International Conference on Biometrics (ICB), pp. 26-31. , IEEEZhao, 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, pp. 915-92