International Journal of Computer Network and Information Security(IJCNIS)
ISSN: 2074-9090 (Print), ISSN: 2074-9104 (Online)
Published By: MECS Press
IJCNIS Vol.6, No.12, Nov. 2014
A Preliminary Study of Fake Fingerprints
Full Text (PDF, 669KB), PP.1-8
Fingerprint is a widely used biometrics. Its extensive usage motivates imposter to fabricate fake fingerprints. Vitality detection has been proposed to prevent counterfeit finger attack. Currently the detection can be done either during the process of acquiring fingerprint image or by comparing multiple sequentially acquired images. It is an ongoing research problem to detect whether a given fingerprint image is obtained from a real or a fake fingertip. In this paper we look into the differences between real and fake fingerprints as the first step to approach this problem. Specifically, we study the effects of different imaging sensors on the sizes of templates and on the matching scores between real and fake fingerprints. We also compare the fake fingerprints made from different materials. Experiments are carried out with two publicly available fingerprint databases and the findings are reported.
Cite This Paper
Qinghai Gao,"A Preliminary Study of Fake Fingerprints", IJCNIS, vol.6, no.12, pp.1-8, 2014. DOI: 10.5815/ijcnis.2014.12.01
J. Barnes, Chapter 1 History. The Fingerprint Sourcebook, Alan McRoberts, Eds, National Institute of Justice, 2012, pp. 7-21.
David R. Ashbaugh, "Ridgeology," Journal of Forensic Identification, vol. 41, no. 1, pp. 16-64, 1991.
F. Galton, Finger Prints, MacMillan and Co, London, 1892.
L. Hutchins, Chapter 5 Systems of friction ridge classification. The Fingerprint Sourcebook, Alan McRoberts, Eds, National Institute of Justice, 2012, pp. 8-9.
V. Narendira Kumar and B. Srinivasan, "Evolution of electronic passport scheme using cryptographic protocol along with biometrics authentication system," International Journal of Computer Network and Information Security, vol. 2, pp. 50-58, 2012.
D. Gentles and S. Sankaranarayanan, "Application of biometrics in mobile voting," International Journal of Computer Network and Information Security, vol. 7, pp. 57-68, 2012.
D. Ashok Kumar and T. Ummal Sariba Begum, "A novel design of electronic voting system using fingerprint," International Journal of Innovative Technology & Creative Engineering, vol. 1, no. 1, pp. 12-19, 2011.
S. Cole, Suspect Identitites: A History of Fingerprinting and Criminal Identification, Harvard University Press, 2001.
D. Willis and M. Lee, "Six biometric devices point the finger at security," Computers and Security, vol. 17, no. 5, pp. 410-411, 1998.
T. van der Putte and J. Keuning, "Biometrical fingerprint recognition: don't get your fingers burned," Smart Card Research and Advanced Applications, Springer, 2000, pp. 289-303.
T. Matsumoto, H. Matsumoto, K. Yamada, and S. Hoshino, "Impact of artificial gummy fingers on fingerprint systems," Electronic Imaging, pp. 275-289, 2002 International Society for Optics and Photonics.
J. Jia and L. Cai, "Fake finger detection based on time-series fingerprint image analysis," Advanced Intelligent Computing Theories and Applications, With Aspects of Theoretical and Methodological Issues, 2007, pp. 1140-1150. Springer Berlin Heidelberg.
R. Derakhshani, S. Schuckers, L. A., Hornak, and L. O'Gorman, "Determination of vitality from a non-invasive biomedical measurement for use in fingerprint scanners," Pattern Recognition, vol. 36, no. 2, pp. 383-396, 2003.
A. Abhyankar and S. Schuckers, "A wavelet-based approach to detecting liveness in fingerprint scanners," Defense and Security, pp. 278-286, 2004 International Society for Optics and Photonics.
B. Tan and S. Schuckers, "Comparison of ridge- and intensity-based perspiration liveness detection methods in fingerprint scanners," Proc. SPIE, 2006, pp. 62020A-62020A. Biometric Technology for Human Identification III.
A. Antonelli, R. Cappelli, D. Maio, and D. Maltoni, "Fake finger detection by skin distortion analysis," IEEE Transactions on Information Forensics and Security, vol. 1, no. 3, pp. 360-373, 2006.
D. Baldisserra, A. Franco, D. Maio, and D. Maltoni, "Fake fingerprint detection by odor analysis," Advances in Biometrics, 2005, pp. 265-272. Springer Berlin Heidelberg.
J. Galbally, F. Alonso-Fernandez, J. Fierrez, and J. Ortega-Garcia, "A high performance fingerprint liveness detection method based on quality related features," Future Generation Computer Systems, vol. 28, no. 1, pp. 311-321, 2012.
J. Galbally, J. Fierrez, F. Alonso-Fernandez, and M. Martinez-Diaz, "Evaluation of direct attacks to fingerprint verification systems," Telecommunication Systems, vol. 47, no. 3-4, pp. 243-254, 2011.
G. Marcialis, A. Lewicke, B. Tan, P. Coli, D. Grimberg, A. Congiu, A. Tidu, F. Roli, and S. Schuckers, "First international fingerprint liveness detection competition—livdet 2009," Image Analysis and Processing, pp. 12-23. Springer Berlin Heidelberg.
M. Drahansky and D. Lodrová, "Liveness detection for biometric systems based on papillary lines," International Conference on Information Security and Assurance, 2008, pp. 439-444.
M. Drahansky, M. Dolezel, J. Vana, E. Brezinova, J. Yim, and K. Shim, "New optical methods for liveness detection on fingers," BioMed research international, 2013, pp. 1-11.
P. Coli, "Vitality detection in personal authentication systems using fingerprints," Doctoral Thesis, 2008, University of Cagliari.
NIST fingerprint software. Available at: http://fingerprint.nist.gov/nfis/
VeriFinger from Neurotechnology. Available at: http://www.neurotechnology.com/
D. Yambay, L. Ghiani, P. Denti, G. L. Marcialis, F. Roli, and S. Schuckers, "LivDet 2011—fingerprint liveness detection competition," The 5th IAPR International Conference on Biometrics, 2012, pp. 208-215.
S. N. Srihari, H. Srinivasan, and G. Fang, "Discriminability of fingerprints of twins," Journal of Forensic Identification, vol. 58, no. 1, pp. 109-127, 2008.
C. I. Watson, M. D. Garris, and A. Hicklin, "Studies of fingerprint matching using the NIST verification test bed (VTB)," US Department of Commerce, Technology Administration, National Institute of Standards and Technology, 2003.
A. Ross, S. Dass, A. Jain, "A deformable model for finger-print matching", Pattern Recognition, vol. 38, pp. 95-103, 2005.
R. Cappelli, D. Maio, and D. Maltoni, "Modelling plastic distortion in fingerprint images," Proc. Second International Conference on Advances in Pattern Recognition, pp. 369-376, 2001.
Q. Gao and X. Zhang, "A study of distortion effects on fingerprint matching," Computer Science and Engineering, vol. 2, no. 3, pp. 37-42, 2012.
H. da Costa, J. Maxey, L. Silva, and A. Ellerbee, "Evaluation of fingerprint deformation using optical coherence tomography," Proc. SPIE, Optical Elastography and Tissue Biomechanics, 2014, pp. 89460I.
Q. Zhao, A. Jain, and G. Abramovich, "3D to 2D fingerprints: unrolling and distortion correction," IEEE International Joint Conference on Biometrics (IJCB), 2011 pp. 1-8.
Y. Wang, D. Lau, and L. Hassebrook, "Fit-sphere unwrapping and performance analysis of 3D fingerprints," Applied Optics, vol. 49, no. 4, pp. 592-600, 2010.
R. Labati, A. Genovese, V. Piuri, and F. Scotti, "Contactless fingerprint recognition: a neural approach for perspective and rotation effects reduction," IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM), 2013, pp. 22-30.
R. Labati, A. Genovese, V. Piuri, and F. Scotti, "Virtual environment for 3-D synthetic fingerprints," IEEE International Conference on Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS), 2012, pp. 48-53.
F. Liu, D. Zhang, C. Song, and G. Lu, "Touchless Multiview Fingerprint Acquisition and Mosaicking," IEEE Transactions on Instrumentation and Measurement, vol. 62, no. 9, pp. 2492-2502, 2013.
R. Labati, A. Genovese, V. Piuri, and F. Scotti, "Touchless fingerprint biometrics: a survey on 2D and 3D technologies," Journal of Internet Technology, vol. 15, pp. 325-332, 2014.
R. Labati, A. Genovese, V. Piuri, and F. Scotti, "Accurate 3D fingerprint virtual environment for biometric technology evaluations and experiment design," Proc. IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), pp. 43-48. 2013.a