NDLI: Multimodal biometric systems

Content Provider	IEEE Xplore Digital Library
Author	Taouche, C. Batouche, M.C. Berkane, M. Taleb-Ahmed, A.
Copyright Year	2014
Description	Author affiliation: Dept. of Math. & Comput. Sci., Univ. of Oum El Bouaghi, Oum EI Bouaghi, Algeria (Taouche, C.; Berkane, M.) \|\| LAMIH Lab., Univ. of Valenciennes & Hainaut-Cambresis, Valenciennes, France (Taleb-Ahmed, A.) \|\| Dept. of Comput. Sci., Univ. of Constantine 2, Constantine, Algeria (Batouche, M.C.)
Abstract	Biometric is a unique, measurable physiological or behavioral characteristic of a person. The biometric system is one such that can provide accurate and reliable scheme for person verification and authentication. Unimodal biometric systems have to contend with a variety of problems such as noisy data, intra-class variations, restricted degrees of freedom, non-universality, spoof attacks, and unacceptable error rates. Several of these problems can be addressed by deploying multimodal biometric systems that combine two or more biometric modalities. By combining multiple sources of information, these systems improve matching performance, increase population coverage, deter spoofing, and facilitate indexing. Different scenarios and fusion levels are possible and different integration strategies can be adopted to consolidate information in multimodal systems.
Starting Page	301
Ending Page	308
File Size	217785
Page Count	8
File Format	PDF
e-ISBN	9781479938247
DOI	10.1109/ICMCS.2014.6911308
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-14
Publisher Place	Morocco
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face Image recognition Biomedical imaging Fingerprint recognition Face recognition Support vector machine classification Irrigation Multimodal biometric Databases Biometrics Unimodal Biometrics Multimodal Biometrics Fusion level
Content Type	Text
Resource Type	Article

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