DocumentCode
3280549
Title
A review of multimodal biometric systems: Fusion methods and their applications
Author
Ghayoumi, Mehdi
Author_Institution
Comput. Sci. Dept., Kent State Univ., Kent, OH, USA
fYear
2015
fDate
June 28 2015-July 1 2015
Firstpage
131
Lastpage
136
Abstract
Biometrics is the science and technology of measuring and analyzing biological data of human body for increasing systems security by providing accurate and reliable patterns and algorithms for person verification and identification and its solutions are widely used in governments, military and industries. Single source of information in biometric systems are called unimodal systems and are perfect but they often suffer from some problems when they face with noisy data such as: intra-class variations, restricted degrees of freedom, spoof attacks and non-universality. Several of these problems can be solved by using multimodal biometric systems that combine two or more biometric modalities. Various methods, fusion levels and integration strategies can be applied to combine information in multimodal systems.
Keywords
biometrics (access control); data analysis; security of data; sensor fusion; biological data analysis; biological data measurement; biometric modalities; fusion levels; fusion methods; integration strategies; intraclass variations; multimodal biometric systems; person identification; person verification; restricted degrees of freedom; spoof attacks; system security; unimodal systems; Authentication; Face; Feature extraction; Fingerprint recognition; Iris recognition; Veins; biometric; fusion; multimodal; unimodal;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Science (ICIS), 2015 IEEE/ACIS 14th International Conference on
Conference_Location
Las Vegas, NV
Type
conf
DOI
10.1109/ICIS.2015.7166582
Filename
7166582
Link To Document