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Recognition using Multimodal Biometric

by Shivani Bhardwaj, Supreet Kaur Gill
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 146 - Number 8
Year of Publication: 2016
Authors: Shivani Bhardwaj, Supreet Kaur Gill
10.5120/ijca2016910834

Shivani Bhardwaj, Supreet Kaur Gill . Recognition using Multimodal Biometric. International Journal of Computer Applications. 146, 8 ( Jul 2016), 24-29. DOI=10.5120/ijca2016910834

@article{ 10.5120/ijca2016910834,
author = { Shivani Bhardwaj, Supreet Kaur Gill },
title = { Recognition using Multimodal Biometric },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 146 },
number = { 8 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 24-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume146/number8/25419-2016910834/ },
doi = { 10.5120/ijca2016910834 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:49:52.669217+05:30
%A Shivani Bhardwaj
%A Supreet Kaur Gill
%T Recognition using Multimodal Biometric
%J International Journal of Computer Applications
%@ 0975-8887
%V 146
%N 8
%P 24-29
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In recent time, biometric have been utilized broadly for verification and authentication purposes. Numerous changes and advances have been executed are as yet being created. Some issues in unimodal like absence of comprehensiveness, interclass variety and affectability to assaults which prompt spoofing of the verification framework are resolved by multimodal biometric system. Multimodal biometric system combines more than one biometric trait to authenticate a person’s identity. In this paper three biometric traits face, Iris and fingerprint have been combined to develop a secure biometric system. Matching level fusion has been done on traits. Proposed system is more secure since it is using FastIca over face, Hough transformation on Iris. Face acknowledgment is most natural and satisfactory in personality confirmation; Iris and fingerprint have unique features and more accurate. Also Fuzzy logic is applied on the fusion of these three biometric traits.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Multimodal biometrics Fast ICA Hough transformation Fuzzy logic

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