http://iet.metastore.ingenta.com
1887

access icon free Biometrics statistics: a foreword and introduction to the special issue

Loading full text...

Full text loading...

/deliver/fulltext/iet-bmt/4/4/IET-BMT.2015.0100.html;jsessionid=1xvt59k6t2w09.x-iet-live-01?itemId=%2fcontent%2fjournals%2f10.1049%2fiet-bmt.2015.0100&mimeType=html&fmt=ahah

References

    1. 1)
      • 1. Schuckers, M.E.: ‘Computational methods in biometric authentication: statistical methods for performance evaluation’ (Springer Science & Business Media, 2010).
    2. 2)
    3. 3)
    4. 4)
    5. 5)
      • 5. Doddington, G., Liggett, W., Martin, A., et al: ‘Sheep, Goats, Lambs and Wolves: A Statistical Analysis of Speaker Performance in the NIST 1998 Speaker Recognition Evaluation’. Int. Conf. Spoken Language Processing (ICSLP). Sydney, 1998.
    6. 6)
    7. 7)
      • 7. Poh, N., Kittler, J.: ‘A biometric menagerie index for characterising template/model-specific variation’. Proc. of the 3rd Int. Conf. on Biometrics.Sardinia, 2009, pp. 816827.
    8. 8)
    9. 9)
    10. 10)
    11. 11)
    12. 12)
      • 12. Yui Man, L., Bolme, D., Draper, B.A., et al: ‘A meta-analysis of face recognition covariates. Biometrics: Theory, Applications, and Systems, 2009’. IEEE 3rd Int. Conf. on BTAS '09. 2009.
    13. 13)
    14. 14)
      • 14. Poh, N., Bengio, S.: ‘Towards predicting optimal subsets of base-experts in biometric authentication task’. LNCS 3361. 1st Joint AMI/PASCAL/IM2/M4 Workshop on Multimodal Interaction and Related Machine Learning Algorithms MLMI. Martigny, 2004, pp. 159172.
    15. 15)
    16. 16)
      • 16. Grother, P., Matey, J.R., Tabassi, E., et al: ‘IREX VI. Temporal Stability of Iris Recognition Accuracy’. NIST Interagency Report, 2013, 7948, pp. 13.
    17. 17)
    18. 18)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-bmt.2015.0100
Loading

Related content

content/journals/10.1049/iet-bmt.2015.0100
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address