Handbook of Biometric Anti-Spoofing

Presenting the first definitive study of the subject, this Handbook of Biometric Anti-Spoofing reviews the state of the art in covert attacks against biometric systems and in deriving countermeasures to these attacks. Topics and features: provides a detailed introduction to the field of biometric anti-spoofing and a thorough review of the associated literature; examines spoofing attacks against five biometric modalities, namely, fingerprints, face, iris, speaker and gait; discusses anti-spoofing measures for multi-model biometric systems; reviews evaluation methodologies, international standards and legal and ethical issues; describes current challenges and suggests directions for future research; presents the latest work from a global selection of experts in the field, including members of the TABULA RASA project.

[1]  Alexander Kain,et al.  Spectral voice conversion for text-to-speech synthesis , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[2]  Nguyen Minh Duc.  Your face is NOT your password Face Authentication ByPassing Lenovo – Asus – Toshiba , 2009 .

[3]  Keiichi Tokuda,et al.  Voice characteristics conversion for HMM-based speech synthesis system , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[4]  Stan Z. Li,et al.  Face liveness detection by learning multispectral reflectance distributions , 2011, Face and Gesture 2011.

[5]  Chung-Hsien Wu,et al.  Voice conversion using duration-embedded bi-HMMs for expressive speech synthesis , 2006, IEEE Transactions on Audio, Speech, and Language Processing.

[6]  Hong Li,et al.  A liveness detection method for face recognition based on optical flow field , 2009, 2009 International Conference on Image Analysis and Signal Processing.

[7]  Ibon Saratxaga,et al.  Detection of synthetic speech for the problem of imposture , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[8]  Sébastien Marcel,et al.  Spoofing in 2D face recognition with 3D masks and anti-spoofing with Kinect , 2013, 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS).

[9]  Moncef Gabbouj,et al.  Voice Conversion Using Dynamic Kernel Partial Least Squares Regression , 2012, IEEE Transactions on Audio, Speech, and Language Processing.

[10]  Frédo Durand,et al.  Eulerian video magnification for revealing subtle changes in the world , 2012, ACM Trans. Graph..

[11]  Sébastien Marcel,et al.  Anti-spoofing in Action: Joint Operation with a Verification System , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

[12]  Olivier Boëffard,et al.  Pitch and Duration Transformation with Non-parallel Data , 2008 .

[13]  Nicholas W. D. Evans,et al.  Spoofing countermeasures to protect automatic speaker verification from voice conversion , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

[14]  Michael Wagner,et al.  Liveness Verification in Audio-Video Speaker Authentication , 2004 .

[15]  Simon King,et al.  Transforming F0 contours , 2003, INTERSPEECH.

[16]  Lin Sun,et al.  TIR/VIS Correlation for Liveness Detection in Face Recognition , 2011, CAIP.

[17]  Thomas Quatieri,et al.  Discrete-Time Speech Signal Processing: Principles and Practice , 2001 .

[18]  Tieniu Tan,et al.  Live face detection based on the analysis of Fourier spectra , 2004, SPIE Defense + Commercial Sensing.

[19]  Arun Ross,et al.  Handbook of Biometrics , 2007 .

[20]  Fabio Roli,et al.  Fusion of multiple clues for photo-attack detection in face recognition systems , 2011, 2011 International Joint Conference on Biometrics (IJCB).

[21]  Haizhou Li,et al.  Synthetic speech detection using temporal modulation feature , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

[22]  Levent M. Arslan,et al.  Speaker Transformation Algorithm using Segmental Codebooks (STASC) , 1999, Speech Commun..

[23]  Sébastien Marcel,et al.  Counter-measures to photo attacks in face recognition: A public database and a baseline , 2011, 2011 International Joint Conference on Biometrics (IJCB).

[24]  Josef Bigün,et al.  Verifying liveness by multiple experts in face biometrics , 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

[25]  Kishore Prahallad,et al.  Voice conversion using Artificial Neural Networks , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[26]  Robert Frischholz,et al.  BioID: A Multimodal Biometric Identification System , 2000, Computer.

[27]  Yi Li,et al.  Face Liveness Detection from a Single Image with Sparse Low Rank Bilinear Discriminative Model , 2010, ECCV.

[28]  Anil K. Jain,et al.  Handbook of Face Recognition, 2nd Edition , 2011 .

[29]  Shengcai Liao,et al.  Face liveness detection using 3D structure recovered from a single camera , 2013, 2013 International Conference on Biometrics (ICB).

[30]  Junjie Yan,et al.  Face liveness detection by exploring multiple scenic clues , 2012, 2012 12th International Conference on Control Automation Robotics & Vision (ICARCV).

[31]  Michele Nappi,et al.  Moving face spoofing detection via 3D projective invariants , 2012, 2012 5th IAPR International Conference on Biometrics (ICB).

[32]  Sadaoki Furui,et al.  Likelihood normalization for speaker verification using a phoneme- and speaker-independent model , 1995, Speech Commun..

[33]  Hermann Ney,et al.  Text-Independent Voice Conversion Based on Unit Selection , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[34]  Nicholas W. D. Evans,et al.  Spoofing countermeasures for the protection of automatic speaker recognition systems against attacks with artificial signals , 2012, INTERSPEECH.

[35]  Samarth Bharadwaj,et al.  Computationally Efficient Face Spoofing Detection with Motion Magnification , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

[36]  Matti Pietikäinen,et al.  Face liveness detection using dynamic texture , 2014, EURASIP J. Image Video Process..

[37]  Satoshi Nakamura,et al.  Voice conversion through vector quantization , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[38]  Haizhou Li,et al.  Mixture of Factor Analyzers Using Priors From Non-Parallel Speech for Voice Conversion , 2012, IEEE Signal Processing Letters.

[39]  I. Pavlidis,et al.  The imaging issue in an automatic face/disguise detection system , 2000, Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications (Cat. No.PR00640).

[40]  Junichi Yamagishi,et al.  Synthetic Speech Discrimination using Pitch Pattern Statistics Derived from Image Analysis , 2012, INTERSPEECH.

[41]  Li-Rong Dai,et al.  Speaker verification against synthetic speech , 2010, 2010 7th International Symposium on Chinese Spoken Language Processing.

[42]  Yu Tsao,et al.  A Study of Mutual Information for GMM-Based Spectral Conversion , 2012, INTERSPEECH.

[43]  V. Bhagavatula.  Real-Time Face Detection and Motion Analysis With Application in "Liveness" Assessment , 2007 .

[44]  Ee Sin Ng,et al.  Face verification using temporal affective cues , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

[45]  H. Zen,et al.  Continuous Stochastic Feature Mapping Based on Trajectory HMMs , 2011, IEEE Transactions on Audio, Speech, and Language Processing.

[46]  Yun Q. Shi,et al.  Is physics-based liveness detection truly possible with a single image? , 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

[47]  Inma Hernáez,et al.  Parametric Voice Conversion Based on Bilinear Frequency Warping Plus Amplitude Scaling , 2013, IEEE Transactions on Audio, Speech, and Language Processing.

[48]  Tomoki Toda,et al.  Voice Conversion Based on Maximum-Likelihood Estimation of Spectral Parameter Trajectory , 2007, IEEE Transactions on Audio, Speech, and Language Processing.

[49]  R. Vidal,et al.  Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[50]  Keikichi Hirose,et al.  One-to-Many Voice Conversion Based on Tensor Representation of Speaker Space , 2011, INTERSPEECH.

[51]  Nicholas W. D. Evans,et al.  A new speaker verification spoofing countermeasure based on local binary patterns , 2013, INTERSPEECH.

[52]  Nicholas W. D. Evans,et al.  On the vulnerability of automatic speaker recognition to spoofing attacks with artificial signals , 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

[53]  Akio Ogihara,et al.  Discrimination Method of Synthetic Speech Using Pitch Frequency against Synthetic Speech Falsification , 2005, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

[54]  Alvin F. Martin,et al.  The DET curve in assessment of detection task performance , 1997, EUROSPEECH.

[55]  Matti Pietikäinen,et al.  Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[56]  Eric Moulines,et al.  Continuous probabilistic transform for voice conversion , 1998, IEEE Trans. Speech Audio Process..

[57]  Josef Bigün,et al.  Non-intrusive liveness detection by face images , 2009, Image Vis. Comput..

[58]  Jean-Luc Dugelay,et al.  Countermeasure for the protection of face recognition systems against mask attacks , 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

[59]  Gérard Chollet,et al.  Synthetic Voice Forgery in the Forensic Context: a short tutorial , 2011 .

[60]  Matti Pietikäinen,et al.  Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[61]  Anderson Rocha,et al.  Face spoofing detection through partial least squares and low-level descriptors , 2011, 2011 International Joint Conference on Biometrics (IJCB).

[62]  Junjie Yan,et al.  A face antispoofing database with diverse attacks , 2012, 2012 5th IAPR International Conference on Biometrics (ICB).

[63]  Nobuaki Minematsu,et al.  Statistical Voice Conversion Based on Noisy Channel Model , 2012, IEEE Transactions on Audio, Speech, and Language Processing.

[64]  Haizhou Li,et al.  Vulnerability evaluation of speaker verification under voice conversion spoofing: the effect of text constraints , 2013, INTERSPEECH.

[65]  John H. L. Hansen,et al.  An experimental study of speaker verification sensitivity to computer voice-altered imposters , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[66]  Anderson Rocha,et al.  Video-Based Face Spoofing Detection through Visual Rhythm Analysis , 2012, 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images.

[67]  Siwei Lyu,et al.  Higher-order Wavelet Statistics and their Application to Digital Forensics , 2003, 2003 Conference on Computer Vision and Pattern Recognition Workshop.

[68]  Matti Pietikäinen,et al.  Bi-Modal Person Recognition on a Mobile Phone: Using Mobile Phone Data , 2012, 2012 IEEE International Conference on Multimedia and Expo Workshops.

[69]  Sébastien Marcel,et al.  On the effectiveness of local binary patterns in face anti-spoofing , 2012, 2012 BIOSIG - Proceedings of the International Conference of Biometrics Special Interest Group (BIOSIG).

[70]  Driss Matrouf,et al.  Effect of Speech Transformation on Impostor Acceptance , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[71]  Yannis Stylianou,et al.  Voice Transformation: A survey , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[72]  Peng Song,et al.  Voice conversion using support vector regression , 2011 .

[73]  Matti Pietikäinen,et al.  Face spoofing detection from single images using micro-texture analysis , 2011, 2011 International Joint Conference on Biometrics (IJCB).

[74]  Jia Liu,et al.  Voice conversion with smoothed GMM and MAP adaptation , 2003, INTERSPEECH.

[75]  Moncef Gabbouj,et al.  Voice Conversion Using Partial Least Squares Regression , 2010, IEEE Transactions on Audio, Speech, and Language Processing.

[76]  Alexander Werner,et al.  Avoiding replay-attacks in a face recognition system using head-pose estimation , 2003, 2003 IEEE International SOI Conference. Proceedings (Cat. No.03CH37443).

[77]  Venu Govindaraju,et al.  Robustness of multimodal biometric fusion methods against spoof attacks , 2009, J. Vis. Lang. Comput..

[78]  Shih-Fu Chang,et al.  Single-view recaptured image detection based on physics-based features , 2010, 2010 IEEE International Conference on Multimedia and Expo.

[79]  Elina Helander,et al.  A Novel Method for Prosody Prediction in Voice Conversion , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[80]  Matti Pietikäinen,et al.  Complementary countermeasures for detecting scenic face spoofing attacks , 2013, 2013 International Conference on Biometrics (ICB).

[81]  Matti Pietikäinen,et al.  Context based face anti-spoofing , 2013, 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS).

[82]  Sébastien Marcel,et al.  Motion-based counter-measures to photo attacks in face recognition , 2014, IET Biom..

[83]  Moncef Gabbouj,et al.  Local linear transformation for voice conversion , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[84]  Tomi Kinnunen,et al.  I-vectors meet imitators: on vulnerability of speaker verification systems against voice mimicry , 2013, INTERSPEECH.

[85]  Ibon Saratxaga,et al.  Evaluation of Speaker Verification Security and Detection of HMM-Based Synthetic Speech , 2012, IEEE Transactions on Audio, Speech, and Language Processing.

[86]  Haizhou Li,et al.  A study on spoofing attack in state-of-the-art speaker verification: the telephone speech case , 2012, Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference.

[87]  Haizhou Li,et al.  Text-independent F0 transformation with non-parallel data for voice conversion , 2010, INTERSPEECH.

[88]  Sébastien Marcel,et al.  On the vulnerability of face verification systems to hill-climbing attacks , 2010, Pattern Recognit..

[89]  Heiga Zen,et al.  Gaussian Process Experts for Voice Conversion , 2011, INTERSPEECH.

[90]  Nalini K. Ratha,et al.  An Analysis of Minutiae Matching Strength , 2001, AVBPA.

[91]  Matti Pietikäinen,et al.  Competition on counter measures to 2-D facial spoofing attacks , 2011, 2011 International Joint Conference on Biometrics (IJCB).

[92]  Haizhou Li,et al.  Conditional restricted Boltzmann machine for voice conversion , 2013, 2013 IEEE China Summit and International Conference on Signal and Information Processing.

[93]  Lin Sun,et al.  Monocular camera-based face liveness detection by combining eyeblink and scene context , 2011, Telecommun. Syst..

[94]  Haizhou Li,et al.  Detecting Converted Speech and Natural Speech for anti-Spoofing Attack in Speaker Recognition , 2012, INTERSPEECH.

[95]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[96]  Daniel Erro,et al.  Voice Conversion Based on Weighted Frequency Warping , 2010, IEEE Transactions on Audio, Speech, and Language Processing.

[97]  Bayya Yegnanarayana,et al.  Transformation of formants for voice conversion using artificial neural networks , 1995, Speech Commun..

[98]  Zhaohui Wu,et al.  Liveness Detection for Face Recognition , 2008 .