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Score Level Fusion of Face and Finger Traits in Multimodal Biometric Authentication System

Published on March 2012 by Utkarsh Gupta, Jasraj Fukane, Varshini Ramanan, Rohit Thakur
International Conference and Workshop on Emerging Trends in Technology
Foundation of Computer Science USA
ICWET2012 - Number 4
March 2012
Authors: Utkarsh Gupta, Jasraj Fukane, Varshini Ramanan, Rohit Thakur
e3914df5-d74c-4d15-83af-a385b34bc3c9

Utkarsh Gupta, Jasraj Fukane, Varshini Ramanan, Rohit Thakur . Score Level Fusion of Face and Finger Traits in Multimodal Biometric Authentication System. International Conference and Workshop on Emerging Trends in Technology. ICWET2012, 4 (March 2012), 34-39.

@article{
author = { Utkarsh Gupta, Jasraj Fukane, Varshini Ramanan, Rohit Thakur },
title = { Score Level Fusion of Face and Finger Traits in Multimodal Biometric Authentication System },
journal = { International Conference and Workshop on Emerging Trends in Technology },
issue_date = { March 2012 },
volume = { ICWET2012 },
number = { 4 },
month = { March },
year = { 2012 },
issn = 0975-8887,
pages = { 34-39 },
numpages = 6,
url = { /proceedings/icwet2012/number4/5340-1031/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference and Workshop on Emerging Trends in Technology
%A Utkarsh Gupta
%A Jasraj Fukane
%A Varshini Ramanan
%A Rohit Thakur
%T Score Level Fusion of Face and Finger Traits in Multimodal Biometric Authentication System
%J International Conference and Workshop on Emerging Trends in Technology
%@ 0975-8887
%V ICWET2012
%N 4
%P 34-39
%D 2012
%I International Journal of Computer Applications
Abstract

In many real-world applications, unimodal biometric systems often face significant limitations due to sensitivity to noise, intra class variability, data quality, pressure, dirt, dryness and other factors. Multimodal biometric authentication systems aim to fuse two or more physical or behavioral traits to provide optimal Genuine Acceptance Rate (GAR) Vs Imposter Acceptance Rate (IAR) curve i.e. Receiver’s Operating Characteristic (ROC). This paper presents a real time multimodal biometric authentication system integrating finger and face traits based on weighted score level fusion. Each biometric trait produces a varied range of scores i.e. heterogeneous scores. Various scores normalization techniques have been developed for fusion of such scores. Whereas this paper presents a technique for producing compatible scores (homogeneous). We have observed interesting variations in ROC through experimental analysis by changing the number of Eigen Faces in Face Verification Module for considering real time vibrations of input face. The statistical analysis for optimized ROC using fusion of the two traits is also represented.

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Index Terms

Computer Science
Information Sciences

Keywords

Unimodal Biometric Authentication System (UBAS) Multimodal Biometric Authentication System (MBAS) Percentage Confidence (pC) or Accuracy Score Genuine Acceptance Rate (GAR) Imposter Acceptance Rate (IAR)