Abstract
Fingerprint recognition systems are vulnerable to artificial spoof fingerprint attacks, like molds made of silicone, gelatin or Play-Doh. “Liveness detection”, which is to detect vitality information from the biometric signature itself, has been proposed to defeat these kinds of spoof attacks. The goal for the LivDet 2009 competition is to compare different methodologies for software-based fingerprint liveness detection with a common experimental protocol and large dataset of spoof and live images. This competition is open to all academic and industrial institutions which have a solution for software-based fingerprint vitality detection problem. Four submissions resulted in successful completion: Dermalog, ATVS, and two anonymous participants (one industrial and one academic). Each participant submitted an algorithm as a Win32 console application. The performance was evaluated for three datasets, from three different optical scanners, each with over 1500 images of “fake” and over 1500 images of “live” fingerprints. The best results were from the algorithm submitted by Dermalog with a performance of 2.7% FRR and 2.8% FAR for the Identix (L-1) dataset. The competition goal is to become a reference event for academic and industrial research in software-based fingerprint liveness detection and to raise the visibility of this important research area in order to decrease risk of fingerprint systems to spoof attacks.
LivDet 2009 Group is constituted by several Ph.D and under graduate students which contributed to the data set collection and LivDet09 web site managing (http://prag.diee.unica.it/ LivDet09).
Chapter PDF
Similar content being viewed by others
References
Ligon, A.: An investigation into the vulnerability of the Siemens id mouse Professional Version 4 (2002), http://www.bromba.com/knowhow/idm4vul.htm
Matsumoto, T., Matsumoto, H., Yamada, K., Hoshino, S.: Impact of artificial gummy fingers on fingerprint systems. In: Proceedings of SPIE, vol. 4677, Optical Security and Counterfeit Deterence Techniques IV, Yokohama
Tan, B., Schuckers, S.: A new approach for liveness detection in fingerprint scanners based on valley noise analysis. Journal of Electronic Imaging 17, 11009. SPIE (2008)
Chen, Y., Jain, A.K., Dass, S.: Fingerprint deformation for spoof detection. In: Biometric Symposium 2005, Cristal City, VA (2005)
Coli, P., Marcialis, G.L., Roli, F.: Fingerprint silicon replicas: static and dynamic features for vitality detection using an optical capture device. International Journal of Image and Graphics 8(4), 495–512 (2008)
Lim, E., Jiang, X., Yau, W.: Fingerprint quality and validity analysis. In: Proc. International Conference on Image Processing, ICIP, vol. 1, pp. 469–472 (2002)
Chen, Y., Dass, S., Jain, A.: Fingerprint quality indices for predicting authentication performance. In: Kanade, T., Jain, A., Ratha, N.K. (eds.) AVBPA 2005. LNCS, vol. 3546, pp. 160–170. Springer, Heidelberg (2005)
Chen, T., Jiang, X., Yau, W.: Fingerprint image quality analysis. In: Proc. International Conference on Image Processing, ICIP, vol. 2, pp. 1253–1256 (2004)
Hong, L., Wan, Y., Jain, A.: Fingerprint imagen enhancement: Algorithm and performance evaluation. IEEE Trans. on Pattern Analysis and Machine Intelligence 20, 777–789 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Marcialis, G.L. et al. (2009). First International Fingerprint Liveness Detection Competition—LivDet 2009. In: Foggia, P., Sansone, C., Vento, M. (eds) Image Analysis and Processing – ICIAP 2009. ICIAP 2009. Lecture Notes in Computer Science, vol 5716. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04146-4_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-04146-4_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04145-7
Online ISBN: 978-3-642-04146-4
eBook Packages: Computer ScienceComputer Science (R0)