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Finger Knuckle Identification using Principal Component Analysis and Nearest Mean Classifier

by Shubhangi Neware, Kamal Mehta, A. S. Zadgaonkar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 70 - Number 9
Year of Publication: 2013
Authors: Shubhangi Neware, Kamal Mehta, A. S. Zadgaonkar
10.5120/11990-7868

Shubhangi Neware, Kamal Mehta, A. S. Zadgaonkar . Finger Knuckle Identification using Principal Component Analysis and Nearest Mean Classifier. International Journal of Computer Applications. 70, 9 ( May 2013), 18-23. DOI=10.5120/11990-7868

@article{ 10.5120/11990-7868,
author = { Shubhangi Neware, Kamal Mehta, A. S. Zadgaonkar },
title = { Finger Knuckle Identification using Principal Component Analysis and Nearest Mean Classifier },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 70 },
number = { 9 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 18-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume70/number9/11990-7868/ },
doi = { 10.5120/11990-7868 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:32:25.638219+05:30
%A Shubhangi Neware
%A Kamal Mehta
%A A. S. Zadgaonkar
%T Finger Knuckle Identification using Principal Component Analysis and Nearest Mean Classifier
%J International Journal of Computer Applications
%@ 0975-8887
%V 70
%N 9
%P 18-23
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The texture pattern produced by the finger knuckle bending is highly unique and makes the surface a distinctive biometric identifier. This paper presents literature survey and classification method for an emerging biometric identifier, namely Finger-Knuckle-Print (FKP), for personal identification. The FKP feature extraction is done using Principal Component Analysis (PCA) technique. Also Knuckle classification using nearest mean classifier is proposed in this paper. The experimental results from the proposed approach are promising and confirm the usefulness of this approach for personal identification.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Finger Knuckle Print (FKP) Nearest Mean Classifier Eigen vectors Eigen value Eigen knuckle and knuckle space

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