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Finger Vein Biometric Algorithm

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Encyclopedia of Biometrics

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References

  1. Hitachi, Ltd. http://www.hitachi.com/

  2. N. Miura, A. Nagasaka, T. Miyatake, Feature extraction of finger vein patterns based on iterative line tracking and its application to personal identification. IEICE Trans. Inf. Syst. J86-D-II(5), 678–687 (2003) (Japanese Edition)

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  3. M. Kono, H. Ueki, S. Umemura, Near-infrared finger vein patterns for personal identification. Appl. Opt. 41(35), 7429–7436 (2002)

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  4. T. Yanagawa, S. Aoki, T. Ohyama, Human finger vein images are diverse and its patterns are useful for personal identification. MHF Preprint Series, MHF 2007-12, Kyushu University 21st Century COE Program, Development of Dynamic Mathematics with High Functionality, 2007

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  5. The Joint Technical Committee for Information Technology. www.jtc1.org

  6. The International Organization for Standardization. http://www.iso.org/iso/home.htm

  7. The International Engineering Consortium. http://www.iec.org/

  8. ISO/IEC 19794-9:2007:Information technology – biometric data interchange formats. Part 9: Vascular image data (2007)

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Author information

Authors and Affiliations

  1. Hitachi-Omron Terminal Solutions, Corp., Owari-asahi City, Aichi, Japan

    Hisao Ogata Mitsutoshi Himaga

Authors
  1. Hisao Ogata Mitsutoshi Himaga
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Editor information

Editors and Affiliations

  1. Center for Biometrics and Security, Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Stan Z. Li

  2. Departments of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA

    Anil K. Jain

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© 2015 Springer Science+Business Media New York

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Himaga, H.O.M. (2015). Finger Vein Biometric Algorithm. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_127

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