Fingerprint Liveness Detection based on Feed Forward Neural Networks

Authors

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

Keywords:

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

Abstract

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.

References

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Published

2017-12-31

Issue

Section

Research Articles

How to Cite

[1]
B. K.Vani, D. Srenivasulu Reddy, " Fingerprint Liveness Detection based on Feed Forward Neural Networks , IInternational 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.