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International Conference on Bioinformatics and Biomedical Engineering

IWBBIO 2017: Bioinformatics and Biomedical Engineering pp 408–418Cite as

Superficial Dorsal Hand Vein Estimation

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Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 10208))

Abstract

Dorsal hand thermograms give crucial information about the temperature differences and radiation intensity so that it is possible to extract and estimate the hand veins through thermal images depending on how they were colorized. Similar with the finger veins and finger prints, the hand veins represent one of the characteristics of individuals as a unique trait in biometrics and bioinformatics. Although the hand vein identification systems are mostly based on various special equipment and illumination techniques, the dorsal hand veins could easily be recognized by thermal cameras. Therefore in this paper we propose a hand vein estimation and projection methodology for dorsal hand thermograms using anisotropic diffusion and maximum curvature method.

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Acknowledgment

This work and the contribution were supported by project “SP/2102/2017 - Smart Solutions for Ubiquitous Computing Environments” from University of Hradec Kralove. We are also grateful for the support of Ph.D. students of our team (Richard Cimler and Jan Trejbal) in consultations regarding application aspects.

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Authors and Affiliations

  1. Faculty of Informatics and Management, Center for Basic and Applied Research, University of Hradec Kralove, Rokitanskeho 62, 500 03, Hradec Kralove, Czech Republic

    Orcan Alpar & Ondrej Krejcar

Authors
  1. Orcan Alpar
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  2. Ondrej Krejcar
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Corresponding author

Correspondence to Ondrej Krejcar .

Editor information

Editors and Affiliations

  1. Universidad de Granada, Granada, Spain

    Ignacio Rojas

  2. Universidad de Granada, Granada, Spain

    Francisco Ortuño

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Alpar, O., Krejcar, O. (2017). Superficial Dorsal Hand Vein Estimation. In: Rojas, I., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2017. Lecture Notes in Computer Science(), vol 10208. Springer, Cham. https://doi.org/10.1007/978-3-319-56148-6_36

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  • DOI: https://doi.org/10.1007/978-3-319-56148-6_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56147-9

  • Online ISBN: 978-3-319-56148-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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