Robust multimodal face and fingerprint fusion in the presence of spoofing attacks

Article English OPEN
Wild, Peter ; Radu, Petru ; Chen, Lulu ; Ferryman, James (2016)
  • Publisher: Elsevier
  • Journal: Pattern Recognition, volume 50, pages 17-25 (issn: 0031-3203)
  • Related identifiers: doi: 10.1016/j.patcog.2015.08.007
  • Subject: Computer Vision and Pattern Recognition | Software | Signal Processing | Artificial Intelligence
    acm: ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS | ComputingMilieux_MANAGEMENTOFCOMPUTINGANDINFORMATIONSYSTEMS

Anti-spoofing is attracting growing interest in biometrics, considering the variety of fake materials and new means to attack biometric recognition systems. New unseen materials continuously challenge state-of-the-art spoofing detectors, suggesting for additional systematic approaches to target anti-spoofing. By incorporating liveness scores into the biometric fusion process, recognition accuracy can be enhanced, but traditional sum-rule based fusion algorithms are known to be highly sensitive to single spoofed instances. This paper investigates 1-median filtering as a spoofing-resistant generalised alternative to the sum-rule targeting the problem of partial multibiometric spoofing where m out of n biometric sources to be combined are attacked. Augmenting previous work, this paper investigates the dynamic detection and rejection of livenessrecognition pair outliers for spoofed samples in true multi-modal configuration with its inherent challenge of normalisation. As a further contribution, bootstrap aggregating (bagging) classifiers for fingerprint spoof-detection algorithm is presented. Experiments on the latest face video databases (Idiap Replay- Attack Database and CASIA Face Anti-Spoofing Database), and fingerprint spoofing database (Fingerprint Liveness Detection Competition 2013) illustrate the efficiency of proposed techniques.
  • References (41)
    41 references, page 1 of 5

    [1] A. Anjos, J. Komulainen, S. Marcel, A. Hadid, M. Pietikainen, Face anti-spoofing: visual approach, in: S. Marcel, et al., (Eds.), Handbook of Biometric AntiSpoofing, Springer, London, 2014, pp. 65-82.

    [2] E. Marasco, A. Ross, A survey on antispoofing schemes for fingerprint recognition systems, ACM Comput. Surv. 47 (2) (2014) 28:1-28:36.

    [3] M. Chakka, et al., Competition on counter measures to 2-d facial spoofing attacks, in: Proceedings of the International Joint Conference on Biometrics, 2011, http://dx.doi.org/10.1109/IJCB.2011.6117509.

    [4] L. Ghiani, et al., Livdet 2013 fingerprint liveness detection competition, in: Proceedings of the International Conference on Biometrics, 2013, http://dx.doi. org/10.1109/ICB.2013.6613027.

    [5] E. Marasco, P. Johnson, C. Sansone, S. Schuckers, Increase the security of multibiometric systems by incorporating a spoofing detection algorithm in the fusion mechanism, in: C. Sansone, et al. (Eds.), Proceedings of the International Workshop on MCS, Lecture Notes in Computer Science, vol. 6713, Springer, Berlin, 2011, pp. 309-318, http://dx.doi.org/10.1007/978-3-642-21557-5_33.

    [6] I. Chingovska, A. Anjos, S. Marcel, Anti-spoofing in action: Joint operation with a verification system, in: Proceedings of the International Conference on Computer Vision and Pattern Recognition, Workshop, 2013, pp. 98-104, http:// dx.doi.org/10.1109/CVPRW.2013.22.

    [7] N. Poh, R. Wong, G.-L. Marcialis, Toward an attack-sensitive tamper-resistant biometric recognition with a symmetric matcher: a fingerprint case study, in: Proceedings of the Symposium on Computational Intelligence in Biometrics and Identity Management, 2014, pp. 1-6.

    [8] R.N. Rodrigues, L.L. Ling, V. Govindaraju, Robustness of multimodal biometric fusion methods against spoof attacks, J. Vis. Lang. Comput. 20 (3) (2009) 169-179.

    [9] Z. Akhtar, G. Fumera, G. Marcialis, F. Roli, Evaluation of multimodal biometric score fusion rules under spoof attacks, in: Proceedings of the International Conference on Biometrics, 2012, pp. 402-407, http://dx.doi.org/10.1109/ICB. 2012.6199784.

    [10] P. Wild, P. Radu, L. Chen, J. Ferryman, Towards anomaly detection for increased security in multibiometric systems: spoofing-resistant 1-median fusion eliminating outliers, in: Proceedings of the International Joint Conference on Biometrics, 2014, http://dx.doi.org/10.1109/BTAS.2014.6996293.

  • Metrics
    No metrics available
Share - Bookmark