Feature Level Fusion Using Finger Knuckle Print Multi-Instance biometric
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 4
Abstract
Biometric-based individual verification is receiving an extensive interest in the area of research due to its far above the ground applicability in a wide range of security applications. Among these, hand-based biometric systems are consider to be more successful in terms of precision and computational complexity. In hand-based biometrics, finger knuckle surface is considered as one of the rising potential biometric traits for individual verification. This is due to its constant and unique inherent patterns present in the external surface of the finger back knuckle region. Further, this finger knuckle has a elevated potentiality towards discriminating individuals with high precision. In this paper, we present a review of various system models that are implemented for personal authentication using finger knuckle biometrics. Furthermore, the challenges that could arise during the accomplishment of the large level real time biometric system with finger knuckle print are explored.
Authors and Affiliations
Devyani Mishra, Sanjivani Shantaiya
Keywords
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- EP ID EP21974
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