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Data Management, Analytics and Innovation pp 311–320Cite as

Secured Human Authentication Using Finger-Vein Patterns

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 808))

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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Author information

Authors and Affiliations

  1. Sri Pillappa College of Engineering, Bengaluru, Karnataka, India

    M. V. Madhusudhan

  2. Innominds Software Pvt. Ltd., Bengaluru, Karnataka, India

    R. Basavaraju

  3. RNS Institute of Technology, Bengaluru, Karnataka, India

    Chetana Hegde

Authors
  1. M. V. Madhusudhan
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  2. R. Basavaraju
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  3. Chetana Hegde
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Corresponding author

Correspondence to Chetana Hegde .

Editor information

Editors and Affiliations

  1. Department of Automatics and Applied Software, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  2. Audyogik Tantra Shikshan Sanstha’s, IICMR, Pune, Maharashtra, India

    Neha Sharma

  3. Faculty of Engineering and Technology, A. K. Choudhury School of Information Technology, Kolkata, West Bengal, India

    Amlan Chakrabarti

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© 2019 Springer Nature Singapore Pte Ltd.

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Madhusudhan, M.V., Basavaraju, R., Hegde, C. (2019). Secured Human Authentication Using Finger-Vein Patterns. In: Balas, V., Sharma, N., Chakrabarti, A. (eds) Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, vol 808. Springer, Singapore. https://doi.org/10.1007/978-981-13-1402-5_24

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

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1401-8

  • Online ISBN: 978-981-13-1402-5

  • eBook Packages: EngineeringEngineering (R0)

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