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Vascular Biometry

  • Conference paper
Image Processing & Communications Challenges 6

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 313))

Abstract

Biometric measures have been used to identify people based on feature vectors derived from their physiological/behavioral characteristics. This paper proposes a method of human biometric identification based on human body organs vasculature. The blood vessels of several part of body have a unique pattern. Feature vectors based on linear patterns such as blood vessel are suitable to identification of an individual. This paper focused on detecting and analyzing vasculature of finger. The proposed algorithm using steerable filters and global and local features.

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References

  1. Freeman, W.T., Adelson, E.H.: The design and use of steerable filters. IEEE Trans. on Pattern Analysis and Machine Intelligence 13(9), 891–906 (1991)

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  2. Jacob, M., Unser, M.: Design of steerable filters for feature detection using Canny-like criteria. IEEE Trans. on Pattern Analysis and Machine Intelligence 26(8), 1007–1019 (2004)

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  3. Kirbas, C., Quek, K.: Vessel extraction techniques and algorithm: a survey. In: Proceedings of the 3rd IEEE Symposium on BioInfomratics and Bioengineering (BIBE 2003) (2003)

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  4. Jain, A.K., Bolle, R., Pankanti, S.: Biometrics.: Personal Identification in Networked Society. Kulwer Academic (1999)

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Author information

Authors and Affiliations

  1. Department of Telecommunications, Computer Science & Electrical Engineering, University of Technology & Life Sciences, 85-796, Bydgoszcz, S. Kaliskiego 7, Poland

    Ryszard S. Choraś

Authors
  1. Ryszard S. Choraś
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Correspondence to Ryszard S. Choraś .

Editor information

Editors and Affiliations

  1. Institute of Telecommunications, University of Technology & Life Sciences, Bydgoszcz, Poland

    Ryszard S. Choraś

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© 2015 Springer International Publishing Switzerland

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Choraś, R.S. (2015). Vascular Biometry. In: Choraś, R. (eds) Image Processing & Communications Challenges 6. Advances in Intelligent Systems and Computing, vol 313. Springer, Cham. https://doi.org/10.1007/978-3-319-10662-5_3

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  • DOI: https://doi.org/10.1007/978-3-319-10662-5_3

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10661-8

  • Online ISBN: 978-3-319-10662-5

  • eBook Packages: EngineeringEngineering (R0)

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