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Finger Knuckle Identification using RLF and Dynamic Time Warping

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 119 - Number 3
Year of Publication: 2015
Authors: Shubhangi Neware, Kamal Mehta, A. S. Zadgaonkar
10.5120/21046-3677

Shubhangi Neware, Kamal Mehta, A. S. Zadgaonkar . Finger Knuckle Identification using RLF and Dynamic Time Warping. International Journal of Computer Applications. 119, 3 ( June 2015), 15-18. DOI=10.5120/21046-3677

@article{ 10.5120/21046-3677,
author = { Shubhangi Neware, Kamal Mehta, A. S. Zadgaonkar },
title = { Finger Knuckle Identification using RLF and Dynamic Time Warping },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 119 },
number = { 3 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 15-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume119/number3/21046-3677/ },
doi = { 10.5120/21046-3677 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:03:02.482590+05:30
%A Shubhangi Neware
%A Kamal Mehta
%A A. S. Zadgaonkar
%T Finger Knuckle Identification using RLF and Dynamic Time Warping
%J International Journal of Computer Applications
%@ 0975-8887
%V 119
%N 3
%P 15-18
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Texture pattern of finger back surface is highly unique consisting of creases and lines which can be used for biometric authentication system. Use of Finger Knuckle Print (FKP) for person identification has been attracted attention of researchers in last few years . Finger Knuckle Print is becoming emerging biometric identifier. In this paper, we present a finger knuckle identification method that uses Dynamic programming (DP) for the alignment of Radon Like Features. The key idea is to use dynamic time warping (DTW) to match Radon Like features of two knuckle images. Experiment is carried out using IIT Delhi finger knuckle database version 1. 0. Knuckle features are extracted using the Radon Like Feature technique is classified using DTW for the identification of finger knuckle print. Result obtained using RLF and DTW is promising as compared to subspace and Gabor filtering methods.

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Index Terms

Computer Science
Information Sciences

Keywords

Biometrics Finger Knuckle Print (FKP) Radon Like Feature (RLF) Knuckle Dynamic Time Warping.

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