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Reseach Article

Review of Hand Feature of Unimodal and Multimodal Biometric System

by Juberahmad Shaikh, Uttam D. Kolekar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 133 - Number 5
Year of Publication: 2016
Authors: Juberahmad Shaikh, Uttam D. Kolekar
10.5120/ijca2016907853

Juberahmad Shaikh, Uttam D. Kolekar . Review of Hand Feature of Unimodal and Multimodal Biometric System. International Journal of Computer Applications. 133, 5 ( January 2016), 19-24. DOI=10.5120/ijca2016907853

@article{ 10.5120/ijca2016907853,
author = { Juberahmad Shaikh, Uttam D. Kolekar },
title = { Review of Hand Feature of Unimodal and Multimodal Biometric System },
journal = { International Journal of Computer Applications },
issue_date = { January 2016 },
volume = { 133 },
number = { 5 },
month = { January },
year = { 2016 },
issn = { 0975-8887 },
pages = { 19-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume133/number5/23783-2016907853/ },
doi = { 10.5120/ijca2016907853 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:30:20.655824+05:30
%A Juberahmad Shaikh
%A Uttam D. Kolekar
%T Review of Hand Feature of Unimodal and Multimodal Biometric System
%J International Journal of Computer Applications
%@ 0975-8887
%V 133
%N 5
%P 19-24
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this age of digital impersonation, biometric techniques are being used increasingly for authentication technique to prevent unauthorized access. As only biometrics, the authentication of individuals using biological identities, can offer true proof of identity. The increasing interest of biometrics is related to security, forensics and remote managing. Extensive research has been conducted in this area with different techniques. In this paper, unimodal, multimodal and fusion techniques are reviewed for authentication.

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Index Terms

Computer Science
Information Sciences

Keywords

unimodal multimodal score level fusion FAR FRR