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Face Verification System based on Integral Normalized Gradient Image (INGI)

by V. Karthikeyan, M. Divya, C. K. Chithra, K. Manju Priya and
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 66 - Number 9
Year of Publication: 2013
Authors: V. Karthikeyan, M. Divya, C. K. Chithra, K. Manju Priya and
10.5120/11116-6077

V. Karthikeyan, M. Divya, C. K. Chithra, K. Manju Priya and . Face Verification System based on Integral Normalized Gradient Image (INGI). International Journal of Computer Applications. 66, 9 ( March 2013), 39-43. DOI=10.5120/11116-6077

@article{ 10.5120/11116-6077,
author = { V. Karthikeyan, M. Divya, C. K. Chithra, K. Manju Priya and },
title = { Face Verification System based on Integral Normalized Gradient Image (INGI) },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 66 },
number = { 9 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 39-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume66/number9/11116-6077/ },
doi = { 10.5120/11116-6077 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:21:58.017379+05:30
%A V. Karthikeyan
%A M. Divya
%A C. K. Chithra
%A K. Manju Priya and
%T Face Verification System based on Integral Normalized Gradient Image (INGI)
%J International Journal of Computer Applications
%@ 0975-8887
%V 66
%N 9
%P 39-43
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Face Recognition is to refine the notion of a biometric imposter, and show that the traditional measures of identification and verification performance. Recognition algorithm performs scores on disjoint populations to institute a means of computing and display distribution-free estimates of the dissimilarity in verification vs. false alarm performance. The proposed face recognition system consists of an Illumination Insensitive Preprocessing Method, A Hybrid Fourier-Based Facial Feature Extraction, and Score Fusion Scheme. In pre-processing stage, a figure is normalized and integrated called "integral normalized gradient image". Then, in feature extraction of complementary classifiers, for multiple face models hybrid Fourier features is applied. Multiple face models are generated by normalized face images that have different eye distances. Finally, to combine scores from multiple complementary classifiers, a log likelihood ratio-based score fusion scheme is used. The goal of the Face Recognition Grand Challenge (FRGC) is to enhance the performance of face recognition algorithms by the order of magnitude.

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Index Terms

Computer Science
Information Sciences

Keywords

Face Recognition Grand Challenge (FRGC) Hybrid Fourier-Based Facial Feature Extraction Illumination Insensitive Preprocessing method Score Fusion Scheme

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