Multimodal Biometric Fusion: Performance under Spoof Attacks

Multimodal Biometric Fusion: Performance under Spoof Attacks

Biometrics is essentially a pattern recognition system that recognizes an individual using their unique anatomical or behavioral patterns such as face, fingerprint, iris, signature etc. Recent researches have shown that many biometric traits are vulnerable to spoof attacks. Moreover, recent works sh...

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Bibliographic Details
Main Authors: Akhtar Zahid, Rizwan Mohammed, Kale Sandeep
Format: Article
Language:English
Published: De Gruyter 2011-12-01
Series:Journal of Intelligent Systems
Subjects:
biometrics
biometric fusion
multimodal systems
spoof attacks
biometric sample quality
Online Access:https://doi.org/10.1515/JISYS.2011.018

Internet

https://doi.org/10.1515/JISYS.2011.018

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