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Reseach Article

3D Face Recognition Using Radon Transform and Symbolic LDA

by P. S. Hiremath, Manjunath Hiremath
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 67 - Number 4
Year of Publication: 2013
Authors: P. S. Hiremath, Manjunath Hiremath
10.5120/11380-6666

P. S. Hiremath, Manjunath Hiremath . 3D Face Recognition Using Radon Transform and Symbolic LDA. International Journal of Computer Applications. 67, 4 ( April 2013), 1-4. DOI=10.5120/11380-6666

@article{ 10.5120/11380-6666,
author = { P. S. Hiremath, Manjunath Hiremath },
title = { 3D Face Recognition Using Radon Transform and Symbolic LDA },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 67 },
number = { 4 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume67/number4/11380-6666/ },
doi = { 10.5120/11380-6666 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:23:44.353528+05:30
%A P. S. Hiremath
%A Manjunath Hiremath
%T 3D Face Recognition Using Radon Transform and Symbolic LDA
%J International Journal of Computer Applications
%@ 0975-8887
%V 67
%N 4
%P 1-4
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Many recent events, such as terrorist attacks, have exposed the serious weaknesses in most sophisticated security systems. Three dimensional (3D) human face recognition is emerging as a significant biometric technology. Research interest in 3D face recognition has increased during recent years due to the availability of improved 3D acquisition devices and processing algorithms. In this paper, the novel method for three dimensional (3D) face recognition using Radon transform and Symbolic LDA based features of 3D range face images is proposed. In this method, the Symbolic LDA based feature computation takes into account the face image variations to a larger extent and has the advantage of dimensionality reduction. The experimental results have yielded 99. 50% recognition performance with reduced computational cost, which compares well with other state-of-the-art methods.

References
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Index Terms

Computer Science
Information Sciences

Keywords

3D face recognition range image radon transform Symbolic LDA