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Article:Evolutionary Fuzzy Clustering and Parallel Neural Networks based Human Identification using Face Biometrics

by Vivek Srivastava, Bipin K Tripathi, Vinay K Pathak
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 31 - Number 7
Year of Publication: 2011
Authors: Vivek Srivastava, Bipin K Tripathi, Vinay K Pathak
10.5120/3834-5330

Vivek Srivastava, Bipin K Tripathi, Vinay K Pathak . Article:Evolutionary Fuzzy Clustering and Parallel Neural Networks based Human Identification using Face Biometrics. International Journal of Computer Applications. 31, 7 ( October 2011), 1-6. DOI=10.5120/3834-5330

@article{ 10.5120/3834-5330,
author = { Vivek Srivastava, Bipin K Tripathi, Vinay K Pathak },
title = { Article:Evolutionary Fuzzy Clustering and Parallel Neural Networks based Human Identification using Face Biometrics },
journal = { International Journal of Computer Applications },
issue_date = { October 2011 },
volume = { 31 },
number = { 7 },
month = { October },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume31/number7/3834-5330/ },
doi = { 10.5120/3834-5330 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:17:29.379841+05:30
%A Vivek Srivastava
%A Bipin K Tripathi
%A Vinay K Pathak
%T Article:Evolutionary Fuzzy Clustering and Parallel Neural Networks based Human Identification using Face Biometrics
%J International Journal of Computer Applications
%@ 0975-8887
%V 31
%N 7
%P 1-6
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposed a face recognition technique using evolutionary fuzzy clustering and parallel neural networks. Evolutionary fuzzy clustering is used for optimal distribution of images into the corresponding clusters which are generated through fuzzy clustering. Parallel neural network is used for training and recognition process is done based on the outcome of the parallel neural network. For evaluation of performance of the proposed technique, we use AT & T bell lab face dataset. Experimental analysis shows the efficacy of the proposed method and effect of various parameters on recognition rate.

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Index Terms

Computer Science
Information Sciences

Keywords

Biometrics Face Evolutionary algorithm fuzzy clustering parallel neural network