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2017 | OriginalPaper | Buchkapitel

Data Fusion Applied to Biometric Identification – A Review

verfasst von : J. C. Zapata, C. M. Duque, Y. Rojas-Idarraga, M. E. Gonzalez, J. A. Guzmán, M. A. Becerra Botero

Erschienen in: Advances in Computing

Verlag: Springer International Publishing

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Abstract

There is a growing interest in data fusion oriented to identification and authentication from biometric traits and physiological signals, because of its capacity for combining multiple sources and multimodal analysis allows improving the performance of these systems. Thus, we considered necessary make an analytical review on this domain. This paper summarizes the state of the art of the data fusion oriented to biometric authentication and identification, exploring its techniques, benefits, advantages, disadvantages, and challenges.

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Titel: Data Fusion Applied to Biometric Identification – A Review
verfasst von: J. C. Zapata
C. M. Duque
Y. Rojas-Idarraga
M. E. Gonzalez
J. A. Guzmán
M. A. Becerra Botero
Verlag: Springer International Publishing
Buch: Advances in Computing
Print ISBN: 978-3-319-66561-0

Electronic ISBN: 978-3-319-66562-7

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-66562-7_51

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