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2019 | OriginalPaper | Chapter

Secured Human Authentication Using Finger-Vein Patterns

Authors : M. V. Madhusudhan, R. Basavaraju, Chetana Hegde

Published in: Data Management, Analytics and Innovation

Publisher: Springer Singapore

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Abstract

In any organization, providing a secured authentication system is a challenge. Here, we propose a secured authentication process using finger-vein patterns. Finger vein is a reliable biometric trait because of its distinctiveness and permanence properties. The proposed algorithm initially captures the finger-vein image and is preprocessed using Gaussian blur and morphological operations. Then features like number of corner points and the location of these corner points are extracted. The features fetched for an individual from database are compared against the extracted features. If the comparison satisfies predefined threshold value, then the authentication is successful. The simulation results of the proposed algorithm have produced the FAR as 2.78%, FRR as 0.09% and the overall performance as 99.96%.

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Metadata
Title
Secured Human Authentication Using Finger-Vein Patterns
Authors
M. V. Madhusudhan
R. Basavaraju
Chetana Hegde
Copyright Year
2019
Publisher
Springer Singapore
Book
Data Management, Analytics and Innovation

Print ISBN: 978-981-13-1401-8

Electronic ISBN: 978-981-13-1402-5

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-13-1402-5_24