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References
ISO/IEC JTC 1/SC 37, ISO/IEC TR 29198 – Information technology - Characterization and measurement of difficulty for fingerprint databases for technology evaluation
S. Li, H. Kim, C. Jin, S. Elliott, M. Ma, Assessing the level of difficulty of fingerprint datasets based on relative quality measures. Inf. Sci. (Elsevier, 2013). http://dx.doi.org/10.1016/j.ins.2013.05.025
F. Alonso-Fernandez et al., A comparative study of fingerprint image-quality estimation methods. IEEE Trans. Inf. Forensics Secur. 2, 734–743 (2007)
R. Cappelli, D. Maio, D. Maltoni, J.L. Wayman, A.K. Jain, Performance evaluation of fingerprint verification systems. IEEE Trans. Pattern Anal. Mach. Intell. 28, 3–18 (2006)
Y. Chen, S.C. Dass, A.K. Jain, Fingerprint quality indices for predicting authentication performance, in Proceedings of 5th international Conference on Audio and Video-based Biometric Person Authentication, Hilton Rye Town, 2005, pp. 160–170
P. Grother, E. Tabassi, Performance of biometric quality measures. IEEE Trans. Pattern Anal. Mach. Intell. 29, 531–43 (2007)
R.A. Hicklin, C.L. Reedy, Implications of the IDENT/IAFIS image quality study for visa fingerprint processing. Technical report, Mitretek Systems Inc., 31 Oct 2002
C. Jin, H. Kim, S. Elliott, Matching performance-based comparative study of fingerprint sample quality measures. J. Korea Inst.Inf. Secur. Cryptol. 19, 11–25 (2009)
E. Lim, X. Jiang, W. Yau, Fingerprint quality and validity analysis, in Proceedings of 2002 International Conference on Image Processing, Rochester, vol. 1, 2002, pp. 469–472
R.E. Walpole, R.H. Myers, S.L. Myers, K. Ye, Probability & Statistics for Engineers & Scientists, 8th edn. (Pearson Education Inc., Upper Saddle River, 2007)
C. Jin, H. Kim, Pixel-level singular point detection from multi-scale Gaussian filtered orientation field. Pattern Recognit. 43, 3879–3890 (2010)
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Kim, H., Li, S. (2015). Fingerprint Databases for Technology Evaluation, Characterization and Measurement of Difficulty. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_9049
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