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Survey on Multimodal Biometric Authentication Combining Fingerprint and Finger Vein

by T. Sheeba, M. Justin Bernard
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 51 - Number 5
Year of Publication: 2012
Authors: T. Sheeba, M. Justin Bernard
10.5120/8042-1358

T. Sheeba, M. Justin Bernard . Survey on Multimodal Biometric Authentication Combining Fingerprint and Finger Vein. International Journal of Computer Applications. 51, 5 ( August 2012), 55-60. DOI=10.5120/8042-1358

@article{ 10.5120/8042-1358,
author = { T. Sheeba, M. Justin Bernard },
title = { Survey on Multimodal Biometric Authentication Combining Fingerprint and Finger Vein },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 51 },
number = { 5 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 55-60 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume51/number5/8042-1358/ },
doi = { 10.5120/8042-1358 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:49:39.290300+05:30
%A T. Sheeba
%A M. Justin Bernard
%T Survey on Multimodal Biometric Authentication Combining Fingerprint and Finger Vein
%J International Journal of Computer Applications
%@ 0975-8887
%V 51
%N 5
%P 55-60
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Multimodal biometric systems have been widely used to overcome the limitations of unimodal biometric systems and to achieve high recognition accuracy. Among various multimodality options, fingerprint and finger vein has gained much attention among researchers to combine accuracy, universality and cost efficiency of the solution. This study proposes a survey of multimodal fingerprint and finger vein recognition techniques. Most of the existing work is systematically described and compared in five parts, i. e. , fingerprint and finger vein image acquisition, preprocessing, feature extraction, feature matching and fusion. According to the available work in literatures and commercial utilization experiences, fingerprint and finger vein multimodality ensures higher performance and spoofing resistance. This multimodal technology has reached an unparalleled level of security, accuracy and performance.

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Index Terms

Computer Science
Information Sciences

Keywords

Biometric Authentication Multimodal Biometrics Fingerprint Recognition Finger-vein Recognition

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