This chapter discusses palm vein authentication, which uses the vascular patterns of the palm as personal identification data. Palm vein information is hard to duplicate because veins are internal to the human body. Palm vein authentication technology offers a high level of accuracy, and delivers the following results: a false rejection rate (FRR) of 0.01% and a false acceptance rate (FAR) of less than 0.00008%, using the data of 150,000 palms. Several banks in Japan have used palm vein authentication technology for customer identification since July 2004. In addition, this technology has been integrated into door security systems as well as other applications.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
1. References
Cope, M. 1991 The application of near infrared spectroscopy to non invasive monitoring of cerebral oxygenation in the newborn infant, Ph.D. thesis of University College London, Appendix B, pp. 316-323.
Editorial Board for Visualization Techniques of Biological Information (1997) Visualization Techniques of Biological Information (In Japanese), Corona, p. 235.
Fujitsu Limited, http://jp.fujitsu.com/.
Hill, R.B. 1978 Apparatus and Method for Identifying Individuals through their Retinal Vasculature Patterns, US Patent, 4,109,237.
Im, S.-K., Park, H.-M., Kim, S.-W., Chung, C.-K., and Choi, H.-S. (2000) Improved vein pattern extracting algorithm and its implementation, International Conference on Consumer Electronics, 2000.
ICCE. 2000 Digest of Technical Papers, pp. 2-3.
Kim, J.G., Xia, M., and Liu, H. (2005) Extinction coefficients of hemoglobin for near-infrared spectroscopy of tissue, IEEE Engineering in Medicine and Biology Magazine, March/April: 118-121.
Kono, M., Ueki, H., and Umemura, S. 2002 Near-infrared finger vein patterns for personal identification, Applied Optics, 4135: 7429-7436.
Rice, J. 1987 Apparatus for the Identification of Individuals, US Patent, 4,699,149.
Sasaki, S., Hiroaki Kawai, H., and Wakabayashi, A. 2005 Business expansion of palm vein pattern authentication technology, FUJITSU Scientific and Technical Journal, 413: 341-347.
Simon, C. and Goldstein, I. 1935 A new scientific method of identification, New York State Journal of Medicine, 3518: 901-906.
Totty, M. (2005) A better idea, The Wall Street Journal, October, 24th.
Watanabe, M., Endoh, T., Shiohara, M., and Sasaki, S. (2005) Palm vein authentication technology and its applications, Proceedings of Biometrics Symposium, pp. 37-38.
Wray, S., Cope, M., Delpy, D.T., Wyatt, J.S., and Reynolds, E.O. 1988 Characterization of the near infrared absorption spectra of cytochrome aa3 and haemoglobin for the non-invasive monitoring of cerebral oxygenation, Biochimica et Biophysica Acta, 9331: 184-192.
Yarg Biometrics Ltd. http://www.yargbiometrics.com.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag London Limited
About this chapter
Cite this chapter
Watanabe, M. (2008). Palm Vein Authentication. In: Ratha, N.K., Govindaraju, V. (eds) Advances in Biometrics. Springer, London. https://doi.org/10.1007/978-1-84628-921-7_5
Download citation
DOI: https://doi.org/10.1007/978-1-84628-921-7_5
Publisher Name: Springer, London
Print ISBN: 978-1-84628-920-0
Online ISBN: 978-1-84628-921-7
eBook Packages: Computer ScienceComputer Science (R0)