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IJSTR >> Volume 8 - Issue 7, July 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Study Of Hopfield Neural Network For Fingerprint Verification Based On Fast Fourier Transform

[Full Text]

 

AUTHOR(S)

Ramesh Chandra Sahoo, Sateesh Kumar Pradhan, Somesh Kumar

 

KEYWORDS

Hopfield Neural Network, FFT, Fingerprint, FVC2002.

 

ABSTRACT

In this paper we are analyzing storing capacity and recalling of Hopfield neural network of memorized fingerprint image patterns by Hebbian rule through Fast Fourier Transform (FFT). In this process we measure the success rate of the network in terms of recalling original input patterns for testing and also noisy input patterns of the fingerprint images in MATLAB using an image database of FVC2002 and the simulated results are presented here to explain the better performance of Hopfield network for recalling of the stored fingerprint patterns.

 

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