Abstract
We propose to establish a standardised tool in fingerprint recognition robustness assessment, which is able to simulate a wide class of acquisition conditions, applicable to any given dataset and also of potential interest in forensic analysis. As an example, StirMark image manipulations (as being developed in the context of watermarking robustness assessment) are applied to fingerprint data to generate test data for robustness evaluations, thereby interpreting certain image manipulations as being highly related to realistic fingerprint acquisition conditions. Experimental results involving three types of fingerprint features and matching schemes (i.e. correlation-based, ridge feature-based, and minutiae-based) applied to FVC2004 data underline the need for standardised testing and a corresponding simulation toolset.
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References
Alonso-Fernandes, F., Bigun, J., Fierrez, J., Fronthaler, H., Kollreider, K., Ortega-Garcia, J.: Fingerprint recognition. In: Petrovska-Delacretaz, D., Chollet, G., Dorizzi, B. (eds.) Guide to Biometric Reference Systems and Performance Evaluation, pp. 51–88. Springer (2009)
Maltoni, D., Maio, D., Jain, A., Prabhakar, S.: Handbook of Fingerprint Recognition, 2nd edn. Springer (2009)
Noviyanto, A., Pulungan, R.: A comparison framework for fingerprint recognition methods. In: Proceedings of the 6th SEAMS-UGM Conference (Computer, Graph and Combinatorics), pp. 601–614 (2011)
Cappelli, R.: Synthetic fingerprint generation. In: Maltoni, D., Maio, D., Jain, A., Prabhakar, S. (eds.) Handbook of Fingerprint Recognition, 2nd edn., pp. 271–302. Springer (2009)
Kutter, M., Petitcolas, F.A.P.: Fair evaluation methods for image watermarking systems. Journal of Electronic Imaging 9(4), 445–455 (2000)
Meerwald, P., Pereira, S.: Attacks, applications and evaluation of known watermarking algorithms with Checkmark. In: Wong, P.W., Delp, E.J. (eds.) Proceedings of SPIE, Electronic Imaging, Security and Watermarking of Multimedia Contents IV, vol. 4675, pp. 293–304. SPIE, San Jose (2002)
Hämmerle-Uhl, J., Pober, M., Uhl, A.: Towards standardised fingerprint matching robustness assessment: The stirmark toolkit – cross-database comparisons with minutiae-based matching. In: Proceedings of the 1st ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec 2013), Montpellier, France (to appear June 2013)
Petitcolas, F.A.P., Anderson, R.J., Kuhn, M.G.: Attacks on copyright marking systems. In: Aucsmith, D. (ed.) IH 1998. LNCS, vol. 1525, pp. 218–238. Springer, Heidelberg (1998)
Funk, W., Arnold, M., Busch, C., Munde, A.: Evaluation of image compression algorithms for fingerprint and face recognition systems. In: Cole, J., Wolthusen, S. (eds.) Proceedings from the Sixth Annual IEEE Systems, Man and Cybernetics (SMC) Information Assurance Workshop, pp. 72–78. IEEE Computer Society (June 2006)
Mascher-Kampfer, A., Stögner, H., Uhl, A.: Comparison of compression algorithms’ impact on fingerprint and face recognition accuracy. In: Chen, C., Schonfeld, D., Luo, J. (eds.) Proceedings of SPIE Visual Communications and Image Processing (VCIP 2007), vol. 6508, pp.650810–1 – 65050N–10. SPIE, San Jose (January 2007)
Ross, A., Jain, A.K., Reisman, J.: A hybrid fingerprint matcher. Pattern Recognition 36(7), 1661–1673 (2003)
Koichi, I., Hiroshi, N., Koji, K., Takafumi, A., Tatsuo, H.: A fingerprint matching algorithm using phase-only correlation. IEICE Transactions on Fundamentals E87-A(3), 682–691 (2004)
Hong, L., Wan, Y., Jain, A.: Fingerprint image enhancement: Algorithm and performance evalution. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(8), 777–789 (1998)
Jain, A.K., Prabhakar, S., Hong, L., Pankanti, S.: Filterbank-based Fingerprint matching. IEEE Transactions on Image Processing 9(5), 846–859 (2000)
Ross, A., Reisman, J., Jain, A.K.: Fingerprint matching using feature space correlation. In: Tistarelli, M., Bigun, J., Jain, A.K. (eds.) ECCV 2002. LNCS, vol. 2359, pp. 48–57. Springer, Heidelberg (2002)
de Sá, G., de Alencar Lotufo, R.: Improved fingercode matching function. In: SIBGRAPI, pp. 263–272 (2006)
Maio, D., Maltoni, D., Cappelli, R., Wayman, J.L., Jain, A.K.: FVC2004: Third Fingerprint Verification Competition. In: Zhang, D., Jain, A.K. (eds.) ICBA 2004. LNCS, vol. 3072, pp. 1–7. Springer, Heidelberg (2004)
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Hämmerle-Uhl, J., Pober, M., Uhl, A. (2013). Towards a Standardised Testsuite to Assess Fingerprint Matching Robustness: The StirMark Toolkit – Cross-Feature Type Comparisons. In: De Decker, B., Dittmann, J., Kraetzer, C., Vielhauer, C. (eds) Communications and Multimedia Security. CMS 2013. Lecture Notes in Computer Science, vol 8099. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40779-6_1
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