Latent Fingerprint Datasets

  • Branka Stojanović
  • Oge Marques
  • Aleksandar Nešković
Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)


This chapter presents an overview of existing image datasets that can be used for evaluating approaches for overlapped fingerprint separation. It gives special attention to the Vlatacom dataset, created by the authors and publicly available, which consists of 120,000 synthetically overlapped test images (and the associated masks), with and without noise, processed with three different rotation angles, and in two variations of overall brightness.


  1. 1.
    B. DeCann, A. Ross, Relating ROC and CMC curves via the biometric menagerie, in 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS) (2013), pp. 1–8Google Scholar
  2. 2.
    J. Feng, Y. Shi, J. Zhou, Robust and efficient algorithms for separating latent overlapped fingerprints. IEEE Trans. Inf. Forensics Secur. 7(5), 1498–1510 (2012)CrossRefGoogle Scholar
  3. 3.
    M.D. Garris, R.M. McCabe, Fingerprint minutiae from latent and matching tenprint images, in Tenprint Images, (National Institute of Standards and Technology, 2000)Google Scholar
  4. 4.
    G. Griffin, A. Holub, P. Perona, Caltech-256 Object Category Dataset (2007)Google Scholar
  5. 5.
    D. Maio, D. Maltoni, R. Cappelli, J.L. Wayman, A.K. Jain, FVC2000: fingerprint verification competition. IEEE Trans. Pattern Anal. Mach. Intell. 24(3), 402–412 (2002)CrossRefGoogle Scholar
  6. 6.
    D. Maio, D. Maltoni, R. Cappelli, J.L. Wayman, A.K. Jain, FVC2002: Second fingerprint verification competition, in Proceedings of the 16th International Conference on Pattern Recognition, 2002, vol. 3 (IEEE, Piscataway, 2002), pp. 811–814Google Scholar
  7. 7.
    A. Sankaran, T.I. Dhamecha, M. Vatsa, R. Singh, On matching latent to latent fingerprints, in International Joint Conference on Biometrics (IJCB), 2011 (IEEE, Piscataway, 2011), pp. 1–6CrossRefGoogle Scholar
  8. 8.
    A. Sankaran, M. Vatsa, R. Singh, Hierarchical fusion for matching simultaneous latent fingerprint, in IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2012 (IEEE, Piscataway, 2012), pp. 377–382Google Scholar
  9. 9.
    A. Sankaran, M. Vatsa, R. Singh, Latent fingerprint matching: a survey. IEEE Access 2, 982–1004 (2014)CrossRefGoogle Scholar
  10. 10.
    B. Stojanović, O. Marques, A. Nešković, Latent overlapped fingerprint separation: A review. Multimed. Tools Appl. 76(15), 16263–16290 (2017)CrossRefGoogle Scholar
  11. 11.
    B. Stojanović, A. Nešković, O. Marques, A novel neural network based approach to latent overlapped fingerprints separation. Multimed. Tools Appl. 76(10), 1–25 (2016)Google Scholar
  12. 12.
    B. Stojanovic, O. Marques, A. Neskovic, A novel synthetic dataset for research in overlapped fingerprint separation, in Proceedings of the IPTA, Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA2017) (2017)Google Scholar
  13. 13.
    N. Zhang, Y. Zang, X. Yang, X. Jia, J. Tian, Adaptive orientation model fitting for latent overlapped fingerprints separation. IEEE Trans. Inf. Forensics Secur. 9(10), 1547–1556 (2014)CrossRefGoogle Scholar

Copyright information

© The Author(s), under exclusive license to Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Branka Stojanović
    • 1
  • Oge Marques
    • 2
  • Aleksandar Nešković
    • 3
  1. 1.Vlatacom Research and Development Institute Ltd BelgradeBelgradeSerbia
  2. 2.College of Engineering and Computer ScienceFlorida Atlantic UniversityBoca RatonUSA
  3. 3.School of Electrical EngineeringUniversity of BelgradeBelgradeSerbia

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