Manuscript Number : CSEIT1726204

Fingerprint Liveness Detection based on Feed Forward Neural Networks

Authors(2) :-B. K.Vani, D. Srenivasulu Reddy

With the developing utilization of biometric validation frameworks in the current years. Distinctive strategies are utilized for identification of fingerprints. Late strategy depends on convolution neural system in which just we can recognize the unique mark .the primary disadvantage of this technique is can't distinguish the phony or genuine unique mark. In this way, to beat that disadvantage new technique appeared that is recognizing the unique mark utilizing the nourish forward neural system .by utilizing this strategy ,can without much of a stretch distinguish the phony or genuine unique finger impression and furthermore can figure the exactness, affectability ,specificity. Test comes about gives preferred execution over alternate past techniques and lessens the computational many-sided quality.

Authors and Affiliations

B. K.Vani
Department of DSCE, SVEW, Tirupati, Andhra Pradesh, India
D. Srenivasulu Reddy
Department of DSCE, SVEW, Tirupati, Andhra Pradesh, India

Convolutional Neural Network (CNN), Feed Forward Neural Networks(FNN)

  1. V. Mura, L. Ghiani, G. L. Marcialis, F. Roli, D. A. Yambay, and S. A. Schuckers, "Livdet 2015 fingerprint liveness detection competition 2015. "
  2. 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.
  3. Y. Chen, A. Jain, and S. Dass, "Fingerprint deformation for spoof detection, " in Biometric Symposium, 2005, p. 21.
  4. B. Tan and S. Schuckers, "Comparison of ridge-and intensity-based perspiration liveness detection methods in fingerprint scanners, " in Defense and Security Symposium. International Society for Optics and Photonics, 2006, pp. 62 020A-62 020A.
  5. P. Coli, G. L. Marcialis, and F. Roli, "Fingerprint silicon replicas: static and dynamic features for vitality detection using an optical capture device, " International Journal of Image and Graphics, vol. 8, no. 04, pp. 495-512, 2008.
  6. P. D. Lapsley, J. A. Lee, D. F. Pare Jr, and N. Hoffman, "Anti-fraud biometric scanner that accurately detects blood flow, " Apr. 7 1998, uS Patent 5, 737, 439.
  7. A. Antonelli, R. Cappelli, D. Maio, and D. Maltoni, "Fake finger detection by skin distortion analysis, " Information Forensics and Security, IEEE Transactions on, vol. 1, no. 3, pp. 360-373, 2006.
  8. D. Baldisserra, A. Franco, D. Maio, and D. Maltoni, "Fake fingerprint detection by odor analysis, " in Advances in Biometrics. Springer, 2005, pp. 265-272.
  9. A. K. Jain, Y. Chen, and M. Demirkus, "Pores and ridges: High-resolution fingerprint matching using level 3 features, " Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 29, no. 1, pp. 15-27, 2007
  10. D. Gragnaniello, G. Poggi, C. Sansone, and L. Verdoliva, "Fingerprint liveness detection based on weber local image descriptor, " in Biometric Measurements and Systems for Security and Medical Applications (BIOMS), 2013 IEEE Workshop on. IEEE, 2013, pp. 46-50.
  11. -, "Local contrast phase descriptor for fingerprint liveness detection, " Pattern Recognition, vol. 48, no. 4, pp. 1050-1058, 2015.
  12. R. Grosseto Nogueira, R. de Alencar Lotufo, and R. Campos Machado, "Evaluating software-based fingerprint liveness detection using convolutional networks and local binary patterns, " in Biometric Measurements and Systems for Security and Medical Applications (BIOMS) Proceedings, 2014 IEEE Workshop on. IEEE, 2014, pp. 22-29.
  13. D. Menotti, G. Chiachia, A. Pinto, W. Robson Schwartz, H. Pedrini, A. Xavier Falcao, and A. Rocha, "Deep representations for iris, face, and fingerprint spoofing detection, " Information Forensics and Security, IEEE Transactions on, vol. 10, no. 4, pp. 864-879, 2015.
  14. X. Jia, X. Yang, K. Cao, Y. Zang, N. Zhang, R. Dai, X. Zhu, and J. Tian, "Multi-scale local binary pattern with filters for spoof fingerprint detection, " Information Sciences, vol. 268, pp. 91-102, 2014.
  15. L. Ghiani, G. L. Marcialis, and F. Roli, "Fingerprint liveness detection by local phase quantization, " in Pattern Recognition(ICPR), 2012 21stInternational Conference on. IEEE, 2012, pp. 537-540.

Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 842-847
Manuscript Number : CSEIT1726204
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

B. K.Vani, D. Srenivasulu Reddy, "Fingerprint Liveness Detection based on Feed Forward Neural Networks ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.842-847, November-December-2017.
Journal URL : http://ijsrcseit.com/CSEIT1726204

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