Hand Veins Recognition System

João Ricardo Gonçalves Neves, Paulo Lobato Correia

2014

Abstract

Accurate protection systems capable of replacing the traditional passwords and ID cards are essential, for commodity and for security reasons. A hand-vein pattern recognition system is just one of a vast group of biometrics techniques under research, in order to become the reference recognition system. This paper presents a hand vein biometric recognition system that uses the hand blood vessels pattern to identify an individual. All biometric systems have an immense application potential as they present advantages over the traditional identification systems. They are able to work with patterns that are very hard to duplicate, since they are different from person to person, and it is also impossible to lose of forget them, since the biometric characteristics are intrinsically attached to the human body. The developed approach was created with the intent of providing an effective protection system despite having been designed and implemented using inexpensive hardware, in comparison with the biometric recognition systems presently offered at a commercial level. The results show that a reliable system can be produced at a low cost and can be used standalone or in combination with other systems.

References

  1. Zhang, H. & Hu, D., 2010, “A Palm Vein Recognition System”, IEEE Proceedings of the International Conference on Intelligent Computation Technology and Automation, pp.285-288.
  2. Ramalho, M., 2010, “Secure Palmprint Verification System”, Master Degree Dissertation, Instituto Superior Técnico, Lisboa.
  3. Moço, N., 2012, “Biometric Recognition Based on Smartphone”, 2012, Master Degree Dissertation, Instituto Superior Técnico, Lisboa.
  4. Sun, Z., Tan, T., Wang, Y., 2005, “Ordinal Palmprint Representation for Personal Identification”, IEEE Proceedings of the Computer Vision and Pattern Recognition, 1, pp.279-284.
  5. Shapiro, L. & Stockman, G., 2000, “Computer Vision”, Prentice Hall, Upper Saddle River, N.J.
  6. Konukoglum, E., Yorukm, E., Darbon, J. & Sankurm, B., 2006, “Shape-Based Hand Recognition”, IEEE Transactions on Image Processing, 15 (7), pp.1803- 1815.
Download


Paper Citation


in Harvard Style

Ricardo Gonçalves Neves J. and Lobato Correia P. (2014). Hand Veins Recognition System . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-003-1, pages 122-129. DOI: 10.5220/0004688701220129


in Bibtex Style

@conference{visapp14,
author={João Ricardo Gonçalves Neves and Paulo Lobato Correia},
title={Hand Veins Recognition System},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={122-129},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004688701220129},
isbn={978-989-758-003-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)
TI - Hand Veins Recognition System
SN - 978-989-758-003-1
AU - Ricardo Gonçalves Neves J.
AU - Lobato Correia P.
PY - 2014
SP - 122
EP - 129
DO - 10.5220/0004688701220129