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An Efficient Approach to Finger Vein Pattern Extraction Using Fuzzy Rule-Based System

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Innovations in Computer Science and Engineering

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 32))

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Abstract

This paper aims at locating the vein patterns in finger vein images with the help of fuzzy rule-based system. This system employs fuzzy reasoning that includes some linguistic variables which can be used effectively for extracting vein patterns from finger vein images. In this paper, the vein patterns in a finger vein image are traced using a Mamdani-type fuzzy rule base. A score-based matching is performed using minutiae features that are extracted with crossing number technique. Extensive experiments and comparative analysis conducted using the standard database from Hong Kong Polytechnic University shows that the vein pattern extraction by the proposed method gives better results compared to the conventional methods and error rates are much lesser than existing techniques. The efficient and accurate vein pattern extraction using the proposed method aids in faster vein matching and authentication in the case of finger vein biometric.

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Authors and Affiliations

  1. School of Advanced Sciences, VIT University, Vellore, India

    Rose Bindu Joseph & Devarasan Ezhilmaran

Authors
  1. Rose Bindu Joseph
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  2. Devarasan Ezhilmaran
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Corresponding author

Correspondence to Rose Bindu Joseph .

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Editors and Affiliations

  1. Guru Nanak Institutions, Ibrahimpatnam, Telangana, India

    H. S. Saini

  2. Guru Nanak Institutions, Ibrahimpatnam, Telangana, India

    Rishi Sayal

  3. School of Information Technology, Jawaharlal Nehru Technological University, Hyderabad, Telangana, India

    A. Govardhan

  4. Cloud Computing and Distributed Systems (CLOUDS) Laboratory, The University of Melbourne, Melbourne, Victoria, Australia

    Rajkumar Buyya

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Joseph, R.B., Ezhilmaran, D. (2019). An Efficient Approach to Finger Vein Pattern Extraction Using Fuzzy Rule-Based System. In: Saini, H., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, vol 32. Springer, Singapore. https://doi.org/10.1007/978-981-10-8201-6_49

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  • DOI: https://doi.org/10.1007/978-981-10-8201-6_49

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8200-9

  • Online ISBN: 978-981-10-8201-6

  • eBook Packages: EngineeringEngineering (R0)

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