{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T14:50:54Z","timestamp":1726066254766},"publisher-location":"Cham","reference-count":52,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030325824"},{"type":"electronic","value":"9783030325831"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-32583-1_4","type":"book-chapter","created":{"date-parts":[[2020,1,28]],"date-time":"2020-01-28T07:04:16Z","timestamp":1580195056000},"page":"51-69","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Anti-Spoofing in Face Recognition: Deep Learning and Image Quality Assessment-Based Approaches"],"prefix":"10.1007","author":[{"given":"Wael","family":"Elloumi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aladine","family":"Chetouani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tarek Ben","family":"Charrada","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emna","family":"Fourati","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,1,29]]},"reference":[{"key":"4_CR1","doi-asserted-by":"crossref","unstructured":"A. Anjos, J. Komulainen, S. Marcel, A. Hadid, M. Pietikainen, in Face Anti-Spoofing: Visual Approach, ed. by S. Marcel, M. Nixon, S. Z. Li (Springer, London, 2014), pp. 65\u201382, Chapter 4","DOI":"10.1007\/978-1-4471-6524-8_4"},{"key":"4_CR2","volume-title":"Recent Advances in Face Recognition","author":"Gang Pan","year":"2008","unstructured":"G. Pan, Z. Wu, L. Sun, Liveness detection for face recognition, in Recent advances in face recognition (IntechOpen, Rijeka, 2008), pp. 109\u2013124"},{"issue":"6","key":"4_CR3","first-page":"2142","volume":"2","author":"H Jee","year":"2008","unstructured":"H. Jee, S. Jung, J. Yoo, Liveness detection for embedded face recognition system. Int. J. Comput. Electr., Autom., Control Inf. Eng. 2(6), 2142\u20132145 (2008)","journal-title":"Int. J. Comput. Electr., Autom., Control Inf. Eng."},{"issue":"3","key":"4_CR4","doi-asserted-by":"publisher","first-page":"548","DOI":"10.1109\/TIFS.2007.902037","volume":"2","author":"K Kollreider","year":"2007","unstructured":"K. Kollreider, H. Fronthaler, M.I. Faraj, J. Bigun, Real-time face detection and motion analysis with application in liveness assessment. IEEE Trans. Inf. Forensics Secur. 2(3), 548\u2013558 (2007)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"4_CR5","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1016\/j.imavis.2007.05.004","volume":"27","author":"K Kollreider","year":"2009","unstructured":"K. Kollreider, H. Fronthaler, J. Bigun, Non-intrusive liveness detection by face images. Image Vision Comput. 27, 233 (2009)","journal-title":"Image Vision Comput."},{"key":"4_CR6","unstructured":"A. Anjos, S. Marcel, Counter-measures to photo attacks in face recognition: a public database and a baseline, in 2011 International Joint Conference on Biometrics (IJCB) (2011), pp. 1\u20137."},{"key":"4_CR7","doi-asserted-by":"crossref","unstructured":"W. Bao, H. Li, N. Li, W. Jiang, A liveness detection method for face recognition based on optical flow field, in 2009 International Conference on Image Analysis and Signal Processing (IEEE, 2009), pp. 233\u2013236.","DOI":"10.1109\/IASP.2009.5054589"},{"key":"4_CR8","doi-asserted-by":"crossref","unstructured":"A. Lagorio, M. Tistarelli, M. Cadoni, C. Fookes, S. Sridharan, Liveness detection based on 3d face shape analysis, in International Workshop on Biometrics and Forensics (IWBF) (IEEE, 2013), pp. 1\u20134.","DOI":"10.1109\/IWBF.2013.6547310"},{"key":"4_CR9","doi-asserted-by":"crossref","unstructured":"T. Wang, J. Yang, Z. Lei, S. Liao, S. Z. Li, Face liveness detection using 3d structure recovered from a single camera, in International Conference on Biometrics (ICB) (IEEE, 2013), pp. 1\u20136","DOI":"10.1109\/ICB.2013.6612957"},{"key":"4_CR10","unstructured":"E.S. Ng, A.Y.S. Chia, Face verification using temporal affective cues, in IEEE International Conference on Pattern Recognition (ICPR) (IEEE, 2012), pp. 1249\u20131252"},{"key":"4_CR11","doi-asserted-by":"crossref","unstructured":"Z. Boulkenafet, J. Komulainen, A. Hadid, Face anti-spoofing based on color texture analysis, in IEEE International Conference on Image Processing (ICIP) (IEEE, 2015), pp. 2636\u20132640","DOI":"10.1109\/ICIP.2015.7351280"},{"key":"4_CR12","doi-asserted-by":"crossref","unstructured":"T.de. Freitas Pereira, A. Anjos, J.M. De Martino, S. Marcel, Can face anti-spoofing countermeasures work in a real world scenario? in International Conference on Biometrics (ICB) (IEEE, 2013), pp. 1\u20138","DOI":"10.1109\/ICB.2013.6612981"},{"issue":"2","key":"4_CR13","doi-asserted-by":"publisher","first-page":"710","DOI":"10.1109\/TIP.2013.2292332","volume":"23","author":"J Galbally","year":"2014","unstructured":"J. Galbally, S. Marcel, J. Fierrez, Image quality assessment for fake biometric detection: application to iris, fingerprint, and face recognition. IEEE Trans. Image Process. 23(2), 710\u2013724 (2014)","journal-title":"IEEE Trans. Image Process."},{"key":"4_CR14","doi-asserted-by":"crossref","unstructured":"A. Costa Pazo, S. Bhattacharjee, E. Vazquez Fernandez, S. Marcel, The replay-mobile face presentation-attack database, in International Conference of the Biometrics Special Interest Group (BIOSIG) (IEEE, 2016), pp. 1\u20137","DOI":"10.1109\/BIOSIG.2016.7736936"},{"key":"4_CR15","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1016\/j.jvcir.2016.03.019","volume":"38","author":"L Feng","year":"2016","unstructured":"L. Feng, L.M. Po, Y. Li, X. Xu, F. Yuan, T.C.H. Cheung, K.W. Cheung, Integration of image quality and motion cues for face anti-spoofing: a neural network approach. J. Visual Commun. Image Representation 38, 451\u2013460 (2016). \nhttps:\/\/doi.org\/10.1016\/j.jvcir.2016.03.019","journal-title":"J. Visual Commun. Image Representation"},{"key":"4_CR16","first-page":"27","volume-title":"Lecture Notes in Computer Science","author":"Oeslle Lucena","year":"2017","unstructured":"O. Lucena, A. Junior, V. Hugo G Moia, R. Souza, E. Valle, R. De Alencar Lotufo, Transfer learning using convolutional neural networks for face anti-spoofing, in Image Analysis and Recognition. ICIAR 2017. Lecture Notes in Computer Science, ed. by F. Karray, A. Campilho, F. Cheriet, vol. 10317 (Springer, Cham, 2017)."},{"key":"4_CR17","doi-asserted-by":"crossref","unstructured":"R. Raghavendra, K.B. Raja, S. Venkatesh, C. Busch, Transferable deep-CNN features for detecting digital and print-scanned morphed face images, in IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (IEEE, 2017), pp. 1822\u20131830","DOI":"10.1109\/CVPRW.2017.228"},{"key":"4_CR18","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1016\/j.eswa.2018.05.004","volume":"108","author":"YA Ur Rehman","year":"2018","unstructured":"Y.A. Ur Rehman, P. Lai Man, M. Liu, LiveNet: Improving features generalization for face liveness detection using convolution neural networks. Expert Syst. Appl. 108, 159 (2018). \nhttps:\/\/doi.org\/10.1016\/j.eswa.2018.05.004","journal-title":"Expert Syst. Appl."},{"key":"4_CR19","unstructured":"H.T. Cheng, Y.H. Chao, S.L. Yeh, C.S. Chen, H.M. Wang, Y.P. Hung, An efficient approach to multimodal person identity verification by fusing face and voice information, in IEEE International Conference on Multimedia and Expo (IEEE, 2005), pp. 542\u2013545"},{"key":"4_CR20","doi-asserted-by":"crossref","unstructured":"J. Komulainen, I. Anina, J. Holappa, E. Boutellaa, A. Hadid, On the robustness of audiovisual liveness detection to visual speech animation, in IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS) (IEEE, 2016), pp. 1\u20138","DOI":"10.1109\/BTAS.2016.7791161"},{"key":"4_CR21","doi-asserted-by":"publisher","first-page":"643","DOI":"10.1007\/978-3-319-23234-8_59","volume-title":"Image Analysis and Processing \u2014 ICIAP 2015","author":"Aleksandr Melnikov","year":"2015","unstructured":"A. Melnikov, R. Akhunzyanov, K. Oleg, E. Luckyanets, Audiovisual liveness detection, in Image Analysis and Processing\u2014ICIAP 2015. ICIAP 2015. Lecture Notes in Computer Science, ed. by V. Murino, E. Puppo, vol. 9280 (Springer, Cham, 2015)"},{"key":"4_CR22","doi-asserted-by":"crossref","unstructured":"P.H. Lee, L.J. Chu, Y.P. Hung, S.W. Shih, C.S. Chen, H.M. Wang, Cascading multimodal verification using face, voice and iris information, in IEEE International Conference on Multimedia and Expo (IEEE, 2007), pp. 847\u2013850","DOI":"10.1109\/ICME.2007.4284783"},{"key":"4_CR23","doi-asserted-by":"crossref","unstructured":"T. Barbu, A. Ciobanu, M. Luca, Multimodal biometric authentication based on voice, face and iris, in E-Health and Bioengineering Conference (EHB) (IEEE, 2015), pp. 1\u20134","DOI":"10.1109\/EHB.2015.7391373"},{"key":"4_CR24","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1007\/978-3-319-53465-7_2","volume-title":"Digital Forensics and Watermarking","author":"Ye Tian","year":"2017","unstructured":"Y. Tian, S. Xiang, Detection of video-based face spoofing using LBP and multiscale DCT, in Digital Forensics and Watermarking. IWDW 2016. Lecture Notes in Computer Science, ed. by Y. Shi, H. Kim, F. Perez-Gonzalez, F. Liu, vol. 10082 (Springer, Cham, 2017)"},{"key":"4_CR25","doi-asserted-by":"publisher","unstructured":"S. Bharadwaj, T. Dhamecha, M. Vatsa, R. Singh, Computationally efficient face spoofing detection with motion magnification, in IEEE Conference on Computer Vision and Pattern Recognition Workshops (IEEE, 2013). \nhttps:\/\/doi.org\/10.1109\/CVPRW.2013.23","DOI":"10.1109\/CVPRW.2013.23"},{"key":"4_CR26","unstructured":"P. Viola, M. Jones, Rapid object detection using a boosted cascade of simple features, in Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1 (IEEE, 2001), pp. I\u2013511\u2013I\u2013518"},{"key":"4_CR27","first-page":"4721849-1","volume":"2016","author":"Z Akhtar","year":"2016","unstructured":"Z. Akhtar, G. Luca Foresti, Face spoof attack recognition using discriminative image patches. J. Electr. Comput. Eng. 2016, 4721849-1\u20134721849-1 (2016)","journal-title":"J. Electr. Comput. Eng."},{"key":"4_CR28","unstructured":"A. Mittal, A.K. Moorthy, A.C. Bovik, BRISQUE software release (2011), \nhttp:\/\/live.ece.utexas.edu\/research\/quality\/BRISQUE_release.zip"},{"issue":"12","key":"4_CR29","doi-asserted-by":"publisher","first-page":"4695","DOI":"10.1109\/TIP.2012.2214050","volume":"21","author":"A Mittal","year":"2012","unstructured":"A. Mittal, A.K. Moorthy, A.C. Bovik, No reference image quality assessment in the spatial domain. IEEE Trans. Image Process. 21(12), 4695\u20134708 (2012). \nhttps:\/\/doi.org\/10.1109\/TIP.2012.2214050","journal-title":"IEEE Trans. Image Process."},{"issue":"11","key":"4_CR30","doi-asserted-by":"publisher","first-page":"4850","DOI":"10.1109\/TIP.2014.2355716","volume":"23","author":"W Xue","year":"2014","unstructured":"W. Xue, X. Mou, L. Zhang, Blind image quality prediction using joint statistics of gradient magnitude and Laplacian features. IEEE Trans. Image Process. 23(11), 4850\u20134862 (2014)","journal-title":"IEEE Trans. Image Process."},{"key":"4_CR31","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1109\/LSP.2010.2043888","volume":"17","author":"AK Moorthy","year":"2009","unstructured":"A.K. Moorthy, A.C. Bovik, A modular framework for constructing blind universal quality indices. IEEE Signal Process. Lett. 17, 513 (2009)","journal-title":"IEEE Signal Process. Lett."},{"key":"4_CR32","unstructured":"A. K. Moorthy, A. C. Bovik, BIQI software release (2009), \nhttp:\/\/live.ece.utexas.edu\/research\/quality\/biqi.zip"},{"key":"4_CR33","unstructured":"A. Mittal, R. Soundararajan, A. C. Bovik, NIQE software release (2012), \nhttp:\/\/live.ece.utexas.edu\/research\/quality\/niqe.zip"},{"key":"4_CR34","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1109\/LSP.2012.2227726","volume":"20","author":"A Mittal","year":"2012","unstructured":"A. Mittal, R. Soundararajan, A.C. Bovik, Making a completely blind image quality analyzer. IEEE Signal Process. Lett. 20, 209 (2012)","journal-title":"IEEE Signal Process. Lett."},{"key":"4_CR35","doi-asserted-by":"crossref","unstructured":"A. Mittal, A.K. Moorthy, A.C. Bovik, Making image quality assessment robust, in Conference Record of the Asilomar Conference on Signals, Systems, and Computers, Monterey, CA (IEEE, 2012), pp. 1718\u20131722. \nhttp:\/\/live.ece.utexas.edu\/research\/quality\/robustbrisque_release.zip","DOI":"10.1109\/ACSSC.2012.6489326"},{"key":"4_CR36","doi-asserted-by":"crossref","unstructured":"D. Kundu, D. Ghadiyaram, A.C. Bovik, B.L. Evans, No-reference quality assessment of high dynamic range images, in 50th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, 6-9 Nov 2016 (IEEE, 2016). \nhttp:\/\/users.ece.utexas.edu\/~bevans\/papers\/2017\/crowdsourced\/index.html","DOI":"10.1109\/ACSSC.2016.7869704"},{"key":"4_CR37","unstructured":"I. Chingovska, A. Anjos, S. Marcel, On the effectiveness of local binary patterns in face anti-spoofing, in International Conference of Biometrics Special Interest Group (BIOSIG) (IEEE, 2012), pp. 1\u20137"},{"key":"4_CR38","unstructured":"C.C. Chang, C.J. Lin, LIBSVM: a library for support vector machines (2001), \nhttp:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvm"},{"key":"4_CR39","unstructured":"K. Simonyan, A. Zisserman, Very deep convolutional networks for large-scale image recognition, in International Conference on Learning Representations (ICLR) (2015)"},{"issue":"7","key":"4_CR40","doi-asserted-by":"publisher","first-page":"971","DOI":"10.1109\/TPAMI.2002.1017623","volume":"24","author":"T Ojala","year":"2002","unstructured":"T. Ojala, M. Pietikainen, T. Maenpaa, Multiresolution grayscale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Int. 24(7), 971\u2013987 (2002)","journal-title":"IEEE Trans. Pattern Anal. Mach. Int."},{"key":"4_CR41","doi-asserted-by":"crossref","unstructured":"T. Ahonen, A. Hadid, M. Pietik\u00e4inen, Face recognition with local binary patterns, in Computer Vision - ECCV 2004. ECCV 2004, Lecture Notes in Computer Science, ed. by T. Pajdla, J. Matas, vol. 3021 (Springer, Berlin, 2004), pp. 469\u2013481","DOI":"10.1007\/978-3-540-24670-1_36"},{"key":"4_CR42","unstructured":"B. Amos, B. Ludwiczuk, M. Satyanarayanan, in OpenFace: a general-purpose face recognition library with mobile applications. CMUCS-16-118, Technical report (CMU School of Computer Science, 2016)"},{"key":"4_CR43","first-page":"1755","volume":"10","author":"EK Davis","year":"2009","unstructured":"E.K. Davis, Dlib-ml: a machine learning toolkit. J. Mach. Learn. Res. 10, 1755\u20131758 (2009)","journal-title":"J. Mach. Learn. Res."},{"key":"4_CR44","unstructured":"C. Fran\u00e7ois (2015) Keras, \nhttps:\/\/keras.io\/"},{"key":"4_CR45","doi-asserted-by":"crossref","unstructured":"Z. Zhang, J. Yan, S. Liu, Z. Lei, D. Yi, S. Li, A face antispoofing database with diverse attacks, in 5th IAPR International Conference on Biometrics (ICB) (IEEE, 2012)","DOI":"10.1109\/ICB.2012.6199754"},{"issue":"12","key":"4_CR46","doi-asserted-by":"publisher","first-page":"305","DOI":"10.3390\/sym9120305","volume":"9","author":"SY Wang","year":"2017","unstructured":"S.Y. Wang, S.H. Yang, Y.P. Chen, J.W. Huang, Face liveness detection based on skin blood flow analysis. Symmetry 9(12), 305 (2017). \nhttps:\/\/doi.org\/10.3390\/sym9120305","journal-title":"Symmetry"},{"issue":"7","key":"4_CR47","doi-asserted-by":"publisher","first-page":"1713","DOI":"10.1109\/TIFS.2017.2676720","volume":"12","author":"I Manjani","year":"2017","unstructured":"I. Manjani, S. Tariyal, M. Vatsa, R. Singh, A. Majumdar, Detecting silicone mask based presentation attack via deep dictionary learning. IEEE Trans. Inf. Forensics Security 12(7), 1713\u20131723 (2017). \nhttps:\/\/doi.org\/10.1109\/TIFS.2017.2676720","journal-title":"IEEE Trans. Inf. Forensics Security"},{"key":"4_CR48","unstructured":"L. Li, X. Feng, Z. Boulkenafet, Z. Xia, M. Li, A. Hadid, An original face anti-spoofing approach using partial convolutional neural network, in 6th International Conference on In Image Processing Theory Tools and Applications (IPTA), Oulu, Finland (2016), pp. 1\u20136"},{"issue":"2","key":"4_CR49","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1007\/s11554-014-0410-5","volume":"13","author":"MB L\u00f3pez","year":"2017","unstructured":"M.B. L\u00f3pez, A. Nieto, J. Boutellier, J. Hannuksela, O. Silv\u00e9n, Evaluation of real-time LBP computing in multiple architectures. J Real-Time Image Process 13(2), 375\u2013396 (2017)","journal-title":"J Real-Time Image Process"},{"key":"4_CR50","unstructured":"J. Johnson (2017), \nhttps:\/\/github.com\/jcjohnson\/cnn-benchmarks#vgg-paper"},{"key":"4_CR51","doi-asserted-by":"crossref","unstructured":"P. Wang, J. Cheng, Accelerating convolutional neural networks for mobile applications, in 24th ACM International Conference on Multimedia (ACM, 2016), pp. 541\u2013545","DOI":"10.1145\/2964284.2967280"},{"key":"4_CR52","unstructured":"A.G. Howard, M. Zhu, B. Chen, D. Kalenichenko, W. Wang, T. Weyand, M. Andreetto, H. Adam, MobileNets: efficient convolutional neural networks for mobile vision applications (2017). \nhttps:\/\/arxiv.org\/pdf\/1704.04861.pdf"}],"container-title":["Unsupervised and Semi-Supervised Learning","Deep Biometrics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-32583-1_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,1,28]],"date-time":"2020-01-28T07:15:07Z","timestamp":1580195707000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-32583-1_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030325824","9783030325831"],"references-count":52,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-32583-1_4","relation":{},"ISSN":["2522-848X","2522-8498"],"issn-type":[{"type":"print","value":"2522-848X"},{"type":"electronic","value":"2522-8498"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"29 January 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}