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ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India- Vol II pp 79–86Cite as

Fingerprint Reconstruction: From Minutiae

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 249))

Abstract

Fingerprint is one of the very important biometric features used to identify humans across the globe. Minutiae based representation is the most widely used fingerprint representation scheme among other schemes available. Since minutiae representation is a compacted one, there has been an impression that the minutiae template does not contain sufficient information to reconstruct the original grayscale fingerprint image. This misconception has been proven to be incorrect, several algorithms have been proposed that can reconstruct fingerprint images from minutiae templates. But all these algorithms have one common drawback that many spurious minutiae, which are not included in the original minutiae template are generated in the reconstructed image. Moreover, some of these techniques can only reconstruct a partial fingerprint. In this paper, a novel fingerprint reconstruction algorithm is proposed, which not only reconstructs the whole fingerprint, but the reconstructed fingerprint contains very few spurious minutiae. The proposed algorithm reconstructs the continuous phase from minutiae. Experimental results have shown that the proposed algorithm reconstructs whole fingerprint. It also contains very few spurious minutiae.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, GMR Institute of Technology, Rajam, AP, India

    B. Amminaidu & V. Sreerama Murithy

Authors
  1. B. Amminaidu
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  2. V. Sreerama Murithy
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Corresponding author

Correspondence to B. Amminaidu .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, India

    Suresh Chandra Satapathy

  2. College of Engineering(A), Andhra University, Vishakapatnam, India

    P. S. Avadhani

  3. University of Hyderabad, Hyderabad, India

    Siba K. Udgata

  4. CSIR-National Institute of Oceanography, Visakhapatnam, India

    Sadasivuni Lakshminarayana

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© 2014 Springer International Publishing Switzerland

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Amminaidu, B., Murithy, V.S. (2014). Fingerprint Reconstruction: From Minutiae. In: Satapathy, S., Avadhani, P., Udgata, S., Lakshminarayana, S. (eds) ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India- Vol II. Advances in Intelligent Systems and Computing, vol 249. Springer, Cham. https://doi.org/10.1007/978-3-319-03095-1_9

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  • DOI: https://doi.org/10.1007/978-3-319-03095-1_9

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03094-4

  • Online ISBN: 978-3-319-03095-1

  • eBook Packages: EngineeringEngineering (R0)

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