Proposed Token-Security Model Based on Finger-Vein and Graph Theory for Light-Weight Devices

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Create Date October 7, 2020
Last Updated October 7, 2020
CONFPRO/V30/JULY2019/004
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Description

ABSTRACT:

Biological security measure, utilizes inherent physiological features and behavior characteristics of an individual. It forms a strong link between a person and his identity because biometric traits are difficult but not impossible to share or duplicate (Anil, 2008). The Finger-vein is unique to each individual and the pattern does not change over time, this makes it suitable for one-to-many matching, for which fingerprint and face recognition may not be sufficiently robust. With the advantages being presented by the finger vein recognition biometrics, it could still be vulnerable to spoofing attacks.in this paper we take into account the vulnerability of finger-vein to spoofing attack and the advantages of Finger-vein, which is the characteristic of the “liveliness”, and diffusing away from the traditional application of Finger-vein security, we designed a finger-vein cut-set set that applies labelling of vertices and edges to generate one-way signature graphical tokens and the creation of multiple signatures (to a maximum of fifteen) from a user capture.

 

 

Keywords:

Finger-Vein Token (FVt), Finger-vein, cut-set, isomorphism, SIFT, Prewitt Edge Detector, CLACHE, Repeated line tracking

 

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