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Multimodal Biometric System using Iris, Palmprint and Finger-Knuckle

by Ola M. Aly, Houda M. Onsi, Gouda I. Salama, Tarek A. Mahmoud
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 57 - Number 16
Year of Publication: 2012
Authors: Ola M. Aly, Houda M. Onsi, Gouda I. Salama, Tarek A. Mahmoud
10.5120/9195-3717

Ola M. Aly, Houda M. Onsi, Gouda I. Salama, Tarek A. Mahmoud . Multimodal Biometric System using Iris, Palmprint and Finger-Knuckle. International Journal of Computer Applications. 57, 16 ( November 2012), 1-6. DOI=10.5120/9195-3717

@article{ 10.5120/9195-3717,
author = { Ola M. Aly, Houda M. Onsi, Gouda I. Salama, Tarek A. Mahmoud },
title = { Multimodal Biometric System using Iris, Palmprint and Finger-Knuckle },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 57 },
number = { 16 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume57/number16/9195-3717/ },
doi = { 10.5120/9195-3717 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:00:36.191280+05:30
%A Ola M. Aly
%A Houda M. Onsi
%A Gouda I. Salama
%A Tarek A. Mahmoud
%T Multimodal Biometric System using Iris, Palmprint and Finger-Knuckle
%J International Journal of Computer Applications
%@ 0975-8887
%V 57
%N 16
%P 1-6
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Most real-life biometric systems are still unimodal. Unimodal biometric systems perform person recognition based on a single source of biometric information. Such systems are often affected by some problems such as noisy sensor data, nonuniversality and spoof attacks. Multibiometrics overcomes these problems. Multibiometric systems represent the fusion of two or more unimodal biometric systems. Such systems are expected to be more reliable due to the presence of multiple independent pieces of evidence. In this paper, we present a multibiometric recognition system using three types of biometrics Iris, Palmprint and Finger_Knuckle Print. The fusion is applied at the matching-score level. The experimental results showed that the designed system achieves an excellent recognition rate with total Equal Error Rate EER zero percent.

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Index Terms

Computer Science
Information Sciences

Keywords

Finger_Knuckle Biometric Fusion Iiris Matching score Multibiometrics Palmprint

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