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Reseach Article

Finger Knuckle Print Identification using Gabor Features

by Shubhangi Neware, Kamal Mehta, A. S. Zadgaonkar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 98 - Number 18
Year of Publication: 2014
Authors: Shubhangi Neware, Kamal Mehta, A. S. Zadgaonkar
10.5120/17283-7641

Shubhangi Neware, Kamal Mehta, A. S. Zadgaonkar . Finger Knuckle Print Identification using Gabor Features. International Journal of Computer Applications. 98, 18 ( July 2014), 22-24. DOI=10.5120/17283-7641

@article{ 10.5120/17283-7641,
author = { Shubhangi Neware, Kamal Mehta, A. S. Zadgaonkar },
title = { Finger Knuckle Print Identification using Gabor Features },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 98 },
number = { 18 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 22-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume98/number18/17283-7641/ },
doi = { 10.5120/17283-7641 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:26:31.649543+05:30
%A Shubhangi Neware
%A Kamal Mehta
%A A. S. Zadgaonkar
%T Finger Knuckle Print Identification using Gabor Features
%J International Journal of Computer Applications
%@ 0975-8887
%V 98
%N 18
%P 22-24
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

One of the current trends in biometric human identification is the development of new emerging modalities. Knuckle biometrics is one of such promising modalities. Texture pattern produced by the finger knuckle bending is highly unique and makes the surface a distinctive biometric identifier. This paper presents feature based identification methods for an emerging biometric identifier called Finger-Knuckle-Print (FKP). Techniques employed for feature based approach is Gabor filter method .In applications of computer vision and image analysis, Gabor filters have maintained their popularity in feature extraction for almost three decades. In the proposed work experiment is carried out to identify finger knuckle images of more than 100 persons. Compared with the other existing finger back surface based biometric system, the proposed FKP system achieves much higher recognition rate.

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Index Terms

Computer Science
Information Sciences

Keywords

Biometrics Gabor filter Personal authentication