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Reseach Article

Research Avenues in Multimodal Biometrics

Published on None 2010 by G Hemantha Kumar, Mohammad Imran
Recent Trends in Image Processing and Pattern Recognition
Foundation of Computer Science USA
RTIPPR - Number 1
None 2010
Authors: G Hemantha Kumar, Mohammad Imran
8ff26849-f3de-42b6-b324-37ef425bafc3

G Hemantha Kumar, Mohammad Imran . Research Avenues in Multimodal Biometrics. Recent Trends in Image Processing and Pattern Recognition. RTIPPR, 1 (None 2010), 1-8.

@article{
author = { G Hemantha Kumar, Mohammad Imran },
title = { Research Avenues in Multimodal Biometrics },
journal = { Recent Trends in Image Processing and Pattern Recognition },
issue_date = { None 2010 },
volume = { RTIPPR },
number = { 1 },
month = { None },
year = { 2010 },
issn = 0975-8887,
pages = { 1-8 },
numpages = 8,
url = { /specialissues/rtippr/number1/969-92/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Recent Trends in Image Processing and Pattern Recognition
%A G Hemantha Kumar
%A Mohammad Imran
%T Research Avenues in Multimodal Biometrics
%J Recent Trends in Image Processing and Pattern Recognition
%@ 0975-8887
%V RTIPPR
%N 1
%P 1-8
%D 2010
%I International Journal of Computer Applications
Abstract

Growing concern the world over, related to personal and property safety has propelled rapid growth of security and surveillance related technologies. The biometric system is one such that can provide accurate and reliable scheme for person verification. The main aim of biometric based security system is to make sure that rendered service is accessed only by valid user. Biometric systems are of two types: unimodal and multimodal. In these multimodal biometric systems are gaining more popularity as it is capable of addressing some of the challenges involved in designing a biometric systems such as: non-universality, noise in sensed data, large intra-user variations and susceptibility to spoof attacks. In this paper, we give a brief overview of multimodal biometrics and its advantages, challenges, drawbacks and limitations. We also discuss the performance evaluation of multimodal biometrics for two and three modalities for different combinations of algorithms.

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Index Terms

Computer Science
Information Sciences

Keywords

Image Processing Biometrics Security