Image quality assessment for fake biometric detection: Application to Iris, fingerprint, and face recognition

IEEE Transactions on Image Processing

Volumn 23, Issue 2, 2014, Pages 710-724

  Galbally, Javier ^a   Marcel, Sebastien ^b   Fierrez, Julian ^c  

^a JOINT RESEARCH CENTRE   (Italy)

^b IDIAP RESEARCH INSTITUTE   (Switzerland)

^c UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

Author keywords

attacks; biometrics; countermeasures; Image quality assessment; security

Indexed keywords

ATTACKS; BIOMETRIC AUTHENTICATION; BIOMETRIC RECOGNITION; EFFICIENT PROTECTIONS; IMAGE QUALITY ASSESSMENT; REAL-TIME APPLICATION; SECURITY; STATE-OF-THE-ART APPROACH;

AUTHENTICATION; BIOMETRICS; FACE RECOGNITION; IMAGE QUALITY; RADAR COUNTERMEASURES;

SECURITY OF DATA;

ALGORITHM; ANATOMY AND HISTOLOGY; AUTOMATED PATTERN RECOGNITION; BIOMETRY; COMPUTER ASSISTED DIAGNOSIS; DERMATOGLYPHICS; FACE; FACIAL RECOGNITION; FINGER; FRAUD; HUMAN; IRIS; PREVENTION AND CONTROL; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; BIOMETRIC IDENTIFICATION; DERMATOGLYPHICS; FACE; FACIAL RECOGNITION; FINGERS; FRAUD; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IRIS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84892586715     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2013.2292332     Document Type: Article

References (60)

1. S. Prabhakar, S. Pankanti, and A. K. Jain, "Biometric recognition: Security and privacy concerns," IEEE Security Privacy, vol. 1, no. 2, pp. 33-42, Mar./Apr. 2003.
2. T. Matsumoto, "Artificial irises: Importance of vulnerability analysis," in Proc. AWB, 2004.
3. J. Galbally, C. McCool, J. Fierrez, S. Marcel, and J. Ortega-Garcia, "On the vulnerability of face verification systems to hill-climbing attacks," Pattern Recognit., vol. 43, no. 3, pp. 1027-1038, 2010.
4. A. K. Jain, K. Nandakumar, and A. Nagar, "Biometric template security," EURASIP J. Adv. Signal Process., vol. 2008, pp. 113-129, Jan. 2008.
5. J. Galbally, F. Alonso-Fernandez, J. Fierrez, and J. Ortega-Garcia, "A high performance fingerprint liveness detection method based on quality related features," Future Generat. Comput. Syst., vol. 28, no. 1, pp. 311-321, 2012.
6. K. A. Nixon, V. Aimale, and R. K. Rowe, "Spoof detection schemes," Handbook of Biometrics. New York, NY, USA: Springer-Verlag, 2008, pp. 403-423.
7. ISO/IEC 19792:2009, Information Technology-Security Techniques-Security Evaluation of Biometrics, ISO/IEC Standard 19792, 2009.
8. Biometric Evaluation Methodology. v1.0, Common Criteria, 2002.
9. K. Bowyer, T. Boult, A. Kumar, and P. Flynn, Proceedings of the IEEE Int. Joint Conf. on Biometrics. Piscataway, NJ, USA: IEEE Press, 2011.
10. G. L. Marcialis, A. Lewicke, B. Tan, P. Coli, D. Grimberg, A. Congiu, et al., "First international fingerprint liveness detection competition-LivDet 2009," in Proc. IAPR ICIAP, Springer LNCS-5716. 2009, pp. 12-23.
11. M. M. Chakka, A. Anjos, S. Marcel, R. Tronci, B. Muntoni, G. Fadda, et al., "Competition on countermeasures to 2D facial spoofing attacks," in Proc. IEEE IJCB, Oct. 2011, pp. 1-6.
12. J. Galbally, J. Fierrez, F. Alonso-Fernandez, and M. Martinez-Diaz, "Evaluation of direct attacks to fingerprint verification systems," J. Telecommun. Syst., vol. 47, nos. 3-4, pp. 243-254, 2011.
13. A. Anjos and S. Marcel, "Counter-measures to photo attacks in face recognition: A public database and a baseline," in Proc. IEEE IJCB, Oct. 2011, pp. 1-7.
14. Biometrics Institute, London, U.K. (2011). Biometric Vulnerability Assessment Expert Group [Online]. Available: http://www. biometricsinstitute. org/pages/biometric-vulnerability-assessment-expertgroup-bvaeg.html
15. BEAT: Biometrices Evaluation and Testing [Online]. Available: http://www.beat-eu.org/
16. Trusted Biometrics Under Spoofing Attacks (TABULA RASA) [Online]. Available: http://www.tabularasa-euproject.org/
17. J. Galbally, R. Cappelli, A. Lumini, G. G. de Rivera, D. Maltoni, J. Fierrez, et al., "An evaluation of direct and indirect attacks using fake fingers generated from ISO templates," Pattern Recognit. Lett., vol. 31, no. 8, pp. 725-732, 2010.
18. J. Hennebert, R. Loeffel, A. Humm, and R. Ingold, "A new forgery scenario based on regaining dynamics of signature," in Proc. IAPR ICB, vol. Springer LNCS-4642. 2007, pp. 366-375.
19. A. Hadid, M. Ghahramani, V. Kellokumpu, M. Pietikainen, J. Bustard, and M. Nixon, "Can gait biometrics be spoofed?" in Proc. IAPR ICPR, 2012, pp. 3280-3283.
20. Z. Akhtar, G. Fumera, G. L. Marcialis, and F. Roli, "Evaluation of serial and parallel multibiometric systems under spoofing attacks," in Proc. IEEE 5th Int. Conf. BTAS, Sep. 2012, pp. 283-288.
21. D. Maltoni, D. Maio, A. Jain, and S. Prabhakar, Handbook of Fingerprint Recognition. New York, NY, USA: Springer-Verlag, 2009.
22. R. Cappelli, D. Maio, A. Lumini, and D. Maltoni, "Fingerprint image reconstruction from standard templates," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 9, pp. 1489-1503, Sep. 2007. (Pubitemid 47299906)
23. S. Shah and A. Ross, "Generating synthetic irises by feature agglomeration," in Proc. IEEE ICIP, Oct. 2006, pp. 317-320.
24. S. Bayram, I. Avcibas, B. Sankur, and N. Memon, "Image manipulation detection," J. Electron. Imag., vol. 15, no. 4, pp. 041102-1-041102-17, 2006.
25. M. C. Stamm and K. J. R. Liu, "Forensic detection of image manipulation using statistical intrinsic fingerprints," IEEE Trans. Inf. Forensics Security, vol. 5, no. 3, pp. 492-496, Sep. 2010.
26. I. Avcibas, N. Memon, and B. Sankur, "Steganalysis using image quality metrics," IEEE Trans. Image Process., vol. 12, no. 2, pp. 221-229, Feb. 2003.
27. S. Lyu and H. Farid, "Steganalysis using higher-order image statistics," IEEE Trans. Inf. Forensics Security, vol. 1, no. 1, pp. 111-119, Mar. 2006.
28. J. Galbally, J. Ortiz-Lopez, J. Fierrez, and J. Ortega-Garcia, "Iris liveness detection based on quality related features," in Proc. 5th IAPR ICB, Mar./Apr. 2012, pp. 271-276.
29. I. Avcibas, B. Sankur, and K. Sayood, "Statistical evaluation of image quality measures," J. Electron. Imag., vol. 11, no. 2, pp. 206-223, 2002. (Pubitemid 34536986)
30. Q. Huynh-Thu and M. Ghanbari, "Scope of validity of PSNR in image/video quality assessment," Electron. Lett., vol. 44, no. 13, pp. 800-801, 2008.
31. S. Yao, W. Lin, E. Ong, and Z. Lu, "Contrast signal-to-noise ratio for image quality assessment," in Proc. IEEE ICIP, Sep. 2005, pp. 397-400. (Pubitemid 44538662)
32. A. M. Eskicioglu and P. S. Fisher, "Image quality measures and their performance," IEEE Trans. Commun., vol. 43, no. 12, pp. 2959-2965, Dec. 1995.
33. M. G. Martini, C. T. Hewage, and B. Villarini, "Image quality assessment based on edge preservation," Signal Process., Image Commun., vol. 27, no. 8, pp. 875-882, 2012.
34. N. B. Nill and B. Bouzas, "Objective image quality measure derived from digital image power spectra," Opt. Eng., vol. 31, no. 4, pp. 813-825, 1992.
35. A. Liu, W. Lin, and M. Narwaria, "Image quality assessment based on gradient similarity," IEEE Trans. Image Process., vol. 21, no. 4, pp. 1500-1511, Apr. 2012.
36. Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error visibility to structural similarity," IEEE Trans. Image Process., vol. 13, no. 4, pp. 600-612, Apr. 2004.
37. LIVE [Online]. Available: http://live.ece.utexas.edu/research/Quality/ index.htm
38. H. R. Sheikh and A. C. Bovik, "Image information and visual quality," IEEE Trans. Image Process., vol. 15, no. 2, pp. 430-444, Feb. 2006. (Pubitemid 43126168)
39. R. Soundararajan and A. C. Bovik, "RRED indices: Reduced reference entropic differencing for image quality assessment," IEEE Trans. Image Process., vol. 21, no. 2, pp. 517-526, Feb. 2012.
40. Z. Wang, H. R. Sheikh, and A. C. Bovik, "No-reference perceptual quality assessment of JPEG compressed images," in Proc. IEEE ICIP, Sep. 2002, pp. 477-480.
41. X. Zhu and P. Milanfar, "A no-reference sharpness metric sensitive to blur and noise," in Proc. Int. Workshop Qual. Multimedia Exper., 2009, pp. 64-69.
42. A. K. Moorthy and A. C. Bovik, "A two-step framework for constructing blind image quality indices," IEEE Signal Process. Lett., vol. 17, no. 5, pp. 513-516, May 2010.
43. A. Mittal, R. Soundararajan, and A. C. Bovik, "Making a 'completely blind' image quality analyzer," IEEE Signal Process. Lett., vol. 20, no. 3, pp. 209-212, Mar. 2013.
44. T. Hastie, R. Tibshirani, and J. Friedman., The Elements of Statistical Learning. New York, NY, USA: Springer-Verlag, 2001.
45. Z. Wang and A. C. Bovik, "Mean squared error: Love it or leave it? A new look at signal fidelity measures," IEEE Signal Process. Mag., vol. 26, no. 1, pp. 98-117, Jan. 2009.
46. B. Girod, "What's wrong with mean-squared error?" in Digital Images and Human Vision. Cambridge, MA, USA: MIT Press, 1993, pp. 207-220.
47. A. M. Pons, J. Malo, J. M. Artigas, and P. Capilla, "Image quality metric based on multidimensional contrast perception models," Displays J., vol. 20, no. 2, pp. 93-110, 1999.
48. C. Harris and M. Stephens, "A combined corner and edge detector," in Proc. AVC, 1988, pp. 147-151.
49. J. Zhu and N. Wang, "Image quality assessment by visual gradient similarity," IEEE Trans. Image Process., vol. 21, no. 3, pp. 919-933, Mar. 2012.
50. D. Brunet, E. R. Vrscay, and Z. Wang, "On the mathematical properties of the structural similarity index," IEEE Trans. Image Process., vol. 21, no. 4, pp. 1488-1499, Apr. 2012.
51. M. A. Saad, A. C. Bovik, and C. Charrier, "Blind image quality assessment: A natural scene statistics approach in the DCT domain," IEEE Trans. Image Process., vol. 21, no. 8, pp. 3339-3352, Aug. 2012.
52. J. Fierrez, J. Ortega-Garcia, D. Torre-Toledano, and J. Gonzalez-Rodriguez, "BioSec baseline corpus: A multimodal biometric database," Pattern Recognit., vol. 40, no. 4, pp. 1389-1392, 2007. (Pubitemid 44894487)
53. E. Marasco and C. Sansone, "Combining perspiration-and morphologybased static features for fingerprint liveness detection," Pattern Recognit. Lett., vol. 33, no. 9, pp. 1148-1156, 2012.
54. Y. S. Moon, J. S. Chen, K. C. Chan, K. So, and K. C. Woo, "Wavelet based fingerprint liveness detection," Electron. Lett., vol. 41, no. 20, pp. 1112-1113, 2005. (Pubitemid 41498633)
55. S. Nikam and S. Argawal, "Curvelet-based fingerprint anti-spoofing," Signal, Image Video Process., vol. 4, no. 1, pp. 75-87, 2010.
56. A. Abhyankar and S. Schuckers, "Fingerprint liveness detection using local ridge frequencies and multiresolution texture analysis techniques," in Proc. IEEE ICIP, Oct. 2006, pp. 321-324.
57. I. Chingovska, A. Anjos, and S. Marcel, "On the effectiveness of local binary patterns in face anti-spoofing," in Proc. IEEE Int. Conf. Biometr. Special Interest Group, Sep. 2012, pp. 1-7.
58. J. Maatta, A. Hadid, and M. Pietikainen, "Face spoofing detection from single images using micro-texture analysis," in Proc. IEEE IJCB, Oct. 2011, pp. 1-7.
59. P. Pudil, J. Novovicova, and J. Kittler, "Flotating search methods in feature selection," Pattern Recognit. Lett., vol. 15, no. 11, pp. 1119-1125, 1994.
60. A. K. Jain and D. Zongker, "Feature selection: Evaluation, application, and small sample performance," IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 2, pp. 153-158, Feb. 1997.