1. A. Locard,L’Identification des Récidivistes (A. Maloine, Paris, 1909)

   Google Scholar 

2. J. Bigun, G. Granlund, Optimal orientation detection of linear symmetry, inFirst International Conference on Computer Vision, ICCV, London, 8–11 June (IEEE Computer Society, London, 1987), pp. 433–438

   Google Scholar 

3. M. Kass, A. Witkin, Analyzing oriented patterns. Comput. Vis. Graph. Image Process.37, 362–385 (1987)

   Google Scholar 

4. J. Bigun, G. Granlund, J. Wiklund, Multidimensional orientation estimation with applications to texture analysis and optical flow. IEEE-PAMI13(8), 775–790 (1991)

   Google Scholar 

5. G. Granlund, In search of a general picture processing operator. Comput. Graph. Image Process8(2), 155–173 (1978)

   Google Scholar 

6. N.K. Ratha, S. Chen, A.K. Jain, Adaptive flow orientation-based feature extraction in fingerprint images. Pattern Recognit.28(11), 1657–1672 (1995).http://dx.doi.org/10.1016/0031-3203(95)00039-3

7. P. Grother, E. Tabassi, Performance of biometric quality measures. IEEE Trans. Pattern Anal. Mach. Intell.29(4), 531–543 (2007),http://dx.doi.org/10.1109/TPAMI.2007.1019

8. H. Fronthaler, K. Kollreider, J. Bigun, J. Fierrez, F. Alonso-Fernandez, J. Ortega-Garcia, Fingerprint image quality estimation and its application to multi-algorithm verification. IEEE Trans. Inf. Forensics Secur.3(2), 331–338 (2008)

   Google Scholar 

9. J. Bigun,Vision with Direction (Springer, Heidelberg, 2006)

   Google Scholar 

10. A.K. Jain, S. Prabhakar, L. Hong, S. Pankanti, Filterbank-based fingerprint matching. IEEE Trans. Image Process.9(5), 846–859 (2000),http://dx.doi.org/10.1109/83.841531

11. D. Maio, D. Maltoni, Direct gray-scale minutiae detection in fingerprints. IEEE Trans. Pattern Anal. Mach. Intell.19(1), 27–40 (1997),http://www.computer.org/tpami/tp1997/i0027abs.htm

12. D. Maltoni, D. Maio, A.K. Jain, S. Prabhakar,Handbook of Fingerprint Recognition (Springer, Berlin, 2003),http://bias.csr.unibo.it/maltoni/handbook/

13. L. Hong, Y. Wand, A. Jain, Fingerprint image enhancement: algorithm and performance evaluation. IEEE-PAMI20(8), 777–789 (1998)

    Google Scholar 

14. Y. Chen, S.C. Dass, A.K. Jain, Fingerprint quality indices for predicting authentication performance, inAudio- and Video-Based Biometric Person Authentication, 2005, p. 160,http://dx.doi.org/10.1007/11527923_17

15. Q. Xiao, H. Raafat, Fingerprint image postprocessing: a combined statistical and structural approach. Pattern Recognit.24(10), 985–992 (1991),http://dx.doi.org/10.1016/0031-3203(91)90095-M

16. D.C.D. Hung, Enhancement and feature purification of fingerprint images. Pattern Recognit.26(11), 1661–1671 (1993),http://dx.doi.org/10.1016/0031-3203(93)90021-N

17. F.Y. Shih, C.C. Pu, A skeletonization algorithm by maxima tracking on Euclidean distance transform. Pattern Recognit.28(3), 331–341 (1995)

    Google Scholar 

18. A. Farina, Z.M. Kovacs Vajna, A. Leone, Fingerprint minutiae extraction from skeletonized binary images. Pattern Recognit.32(5), 877–889 (1999),http://www.sciencedirect.com/science/article/B6V14-3WMK59F-D/2/bf21218ba618c9f63efb1663ea24a6f6

19. H. Fronthaler, K. Kollreider, J. Bigun, Local feature extraction in fingerprints by complex filtering, inInternational Workshop on Biometric Recognition Systems – IWBRS 2005, Beijing, 22–23 Oct, ed. by S.Z. Li et al. LNCS, vol. 3781 (Springer, Heidelberg, 2005), pp. 77–84

    Google Scholar 

20. D. Maio, D. Maltoni, Ridge-line density estimation in digital images, inInternational Conference on Pattern Recognition, vol. I, 1998, pp. 534–538,http://dx.doi.org/10.1109/ICPR.1998.711198

21. M. Kawagoe, A. Tojo, Fingerprint pattern classification. Pattern Recognit.17, 295–303 (1984)

    Google Scholar 

22. A. Bazen, S. Gerez, Systematic methods for the computation of the directional fields and singular points of fingerprints. IEEE-PAMI24(7), 905–919 (2002)

    Google Scholar 

23. J. Bigun, T. Bigun, K. Nilsson, Recognition by symmetry derivatives and the generalized structure tensor. IEEE-PAMI26, 1590–1605 (2004)

    Google Scholar 

24. K. Nilsson, J. Bigun, Localization of corresponding points in fingerprints by complex filtering. Pattern Recognit. Lett.24, 2135–2144 (2003)

    Google Scholar 

25. J.H. Wegstein, An automated fingerprint identification system. Technical report, Special Publication 500–89, National Bureau of Standards, NBS (1982),http://www.itl.nist.gov/iad/894.03/fing/Special_Publication_500-89.pdf

26. S. Novikov, V. Kot, Singular feature detection and classification of fingerprints using Hough transform, Proc. SPIE 3346, Sixth International Workshop on Digital Image Processing and Computer Graphics: Applications in Humanities and Natural Sciences, 259 (February 1, 1998), pp. 259–269.http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=944071

27. J.O. Garcia, J.F. Aguilar, D. Simon, J. Gonzalez, M.F. Zanuy, V. Espinosa, A. Satue, I. Hernaez, J.J. Igarza, C. Vivaracho, D. Escudero, Q.I. Moro, MCYT baseline corpus: a bimodal biometric database. IEE Proc. Vis. Image Signal Process.150(6), 395–401 (2003), http://ieeexplore.ieee.org:80/xpls/abs_all.jsp?isNumber=2825%2&prod=JNL&arnumber=1263277&arSt=+395&ared=+401&arNumber=1263277

    Google Scholar 

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