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)

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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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