A review of iris anti-spoofing

To ensure the actual presence of a real legitimate trait in contrast to a fake self-manufactured physical synthetic sample, is a significant problem in biometric authentication, which requires the development of new and efficient protection measures. The whole biometric community, including researchers, developers, standardizing bodies and vendors, has thrown itself into the very challenging task of proposing and developing efficient protection methods against this threat, known as spoofing. The goal of this paper is to provide a comprehensive and structured overview on the work that has been carried out over the last decade in the field of iris anti-spoofing. In brief, the paper has been thought as a tool to provide biometric researchers an overall picture of the current panorama in the mentioned area following a systematic approach.

[1]  Jaime S. Cardoso,et al.  MobILive 2014 - Mobile Iris Liveness Detection Competition , 2014, IEEE International Joint Conference on Biometrics.

[2]  Kang Ryoung Park,et al.  Multifeature-based fake iris detection method , 2007 .

[3]  Oleg V. Komogortsev,et al.  Liveness detection via oculomotor plant characteristics: Attack of mechanical replicas , 2013, 2013 International Conference on Biometrics (ICB).

[4]  Kevin W. Bowyer,et al.  LivDet-iris 2013 - Iris Liveness Detection Competition 2013 , 2014, IEEE International Joint Conference on Biometrics.

[5]  H. Takano,et al.  Highly reliable liveness detection method for iris recognition , 2007, SICE Annual Conference 2007.

[6]  T. Tan,et al.  Learning Hierarchical Visual Codebook for Iris Liveness Detection , 2011 .

[7]  Moon Gi Kang,et al.  Multispectral iris authentication system against counterfeit attack using gradient-based image fusion , 2007 .

[8]  Julian Fiérrez,et al.  Iris liveness detection based on quality related features , 2012, 2012 5th IAPR International Conference on Biometrics (ICB).

[9]  Luisa Verdoliva,et al.  An Investigation of Local Descriptors for Biometric Spoofing Detection , 2015, IEEE Transactions on Information Forensics and Security.

[10]  Tieniu Tan,et al.  Counterfeit iris detection based on texture analysis , 2008, 2008 19th International Conference on Pattern Recognition.

[11]  Richa Singh,et al.  On Iris Spoofing Using Print Attack , 2014, 2014 22nd International Conference on Pattern Recognition.

[12]  Rui Chen,et al.  Liveness detection for iris recognition using multispectral images , 2012, Pattern Recognit. Lett..

[13]  Moon Gi Kang,et al.  Iris Recognition Against Counterfeit Attack Using Gradient Based Fusion of Multi-spectral Images , 2005, IWBRS.

[14]  Dmitry Sokolov,et al.  On Smooth 3D Frame Field Design , 2015, ArXiv.

[15]  Tieniu Tan,et al.  Contact Lens Detection Based on Weighted LBP , 2010, 2010 20th International Conference on Pattern Recognition.

[16]  Sébastien Marcel,et al.  Biometric Antispoofing Methods: A Survey in Face Recognition , 2014, IEEE Access.

[17]  Kang Ryoung Park Robust Fake Iris Detection , 2006, AMDO.

[18]  A. Pacut,et al.  Aliveness Detection for IRIS Biometrics , 2006, Proceedings 40th Annual 2006 International Carnahan Conference on Security Technology.

[19]  A. Lakshmi,et al.  DEEP REPRESENTATIONS FOR IRIS , FACE , AND FINGERPRINT SPOOFING DETECTION , 2017 .

[20]  Pengfei Shi,et al.  A Fake Iris Detection Method Based on FFT and Quality Assessment , 2008, 2008 Chinese Conference on Pattern Recognition.

[21]  Kang Ryoung Park,et al.  Robust Fake Iris Detection Based on Variation of the Reflectance Ratio Between the IRIS and the Sclera , 2006, 2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference.

[22]  Tieniu Tan,et al.  Iris Image Classification Based on Hierarchical Visual Codebook , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[23]  Arun Ross,et al.  Iris image reconstruction from binary templates: An efficient probabilistic approach based on genetic algorithms , 2013, Comput. Vis. Image Underst..

[24]  Bodade M. Rajesh,et al.  Fake Iris Detection: A Holistic Approach , 2011 .

[25]  Kang Ryoung Park,et al.  Fake iris detection based on 3D structure of iris pattern , 2010, Int. J. Imaging Syst. Technol..

[26]  Niladri B. Puhan,et al.  A new iris liveness detection method against contact lens spoofing , 2011, 2011 IEEE 15th International Symposium on Consumer Electronics (ISCE).

[27]  Kang Ryoung Park,et al.  Fake iris detection method using Purkinje images based on gaze position , 2008 .

[28]  Kiran B. Raja,et al.  Presentation attack detection using Laplacian decomposed frequency response for visible spectrum and Near-Infra-Red iris systems , 2015, 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS).

[29]  Stan Z. Li,et al.  Handbook of Biometric Anti-Spoofing , 2014, Advances in Computer Vision and Pattern Recognition.

[30]  Yuqing He,et al.  Liveness iris detection method based on the eye's optical features , 2010, Security + Defence.

[31]  Manuel Menezes de Oliveira Neto,et al.  Photorealistic models for pupil light reflex and iridal pattern deformation , 2009, TOGS.

[32]  Sanjay N. Talbar,et al.  Dynamic iris localisation: a novel approach suitable for fake iris detection , 2009 .

[33]  John Daugman,et al.  High Confidence Visual Recognition of Persons by a Test of Statistical Independence , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[34]  Pengfei Shi,et al.  Statistical Texture Analysis-Based Approach for Fake Iris Detection Using Support Vector Machines , 2007, ICB.

[35]  Jaime S. Cardoso,et al.  Iris liveness detection methods in mobile applications , 2014, 2014 International Conference on Computer Vision Theory and Applications (VISAPP).

[36]  Pengfei Shi,et al.  A New Fake Iris Detection Method , 2009, ICB.

[37]  Arun Ross,et al.  A Survey on Anti-Spoofing Schemes for Fingerprint Recognition Systems , 2014 .

[38]  K. Harshika Image Quality Assessment for Fake Biometric Detection : Application to Iris , Fingerprint , and Face Recognition , 2017 .

[39]  Adam Czajka,et al.  Database of iris printouts and its application: Development of liveness detection method for iris recognition , 2013, 2013 18th International Conference on Methods & Models in Automation & Robotics (MMAR).

[40]  Kang Ryoung Park,et al.  Fake Iris Detection by Using Purkinje Image , 2006, ICB.

[41]  Ramachandra Raghavendra,et al.  Presentation attack detection on visible spectrum iris recognition by exploring inherent characteristics of Light Field Camera , 2014, IEEE International Joint Conference on Biometrics.

[42]  Ruigang Yang,et al.  An experimental study of pupil constriction for liveness detection , 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV).

[43]  Ramachandra Raghavendra,et al.  Robust Scheme for Iris Presentation Attack Detection Using Multiscale Binarized Statistical Image Features , 2015, IEEE Transactions on Information Forensics and Security.

[44]  Tieniu Tan,et al.  Efficient Iris Spoof Detection via Boosted Local Binary Patterns , 2009, ICB.

[45]  Kiran B. Raja,et al.  Video Presentation Attack Detection in Visible Spectrum Iris Recognition Using Magnified Phase Information , 2015, IEEE Transactions on Information Forensics and Security.

[46]  Julian Fiérrez,et al.  Direct Attacks Using Fake Images in Iris Verification , 2008, BIOID.