Article details

Title: Low-Cost Hand Vein Recognition Prototype
Author(s): Adrian Aneci   Stelian Spînu               

Abstract: Accurate identification of individuals is becoming extremely important in our globally interconnected information society. Vein recognition is a fairly new biometric technology that has received increased attention in recent years. This paper presents an inexpensive prototype used for hand vein pattern recognition. There are also discussed the results of the experiments conducted in order to evaluate the system performance.

Keywords: person identification, biometrics, vein pattern recognition, image processing, feature extraction, Hausdorff distance.


[1] A.K. JAIN, R. BOLLE, S. PANKANTI (Eds.) – Biometrics: Personal Identification in Networked Society, Kluwer Academic Publishers, Boston, MA, 1999
[2] C. VIELHAUER – Biometric User Authentication for IT Security: From Fundamentals to Handwriting, Springer, New York, NY, 2006
[3] A.K. JAIN, A. ROSS, S. PRABHAKAR – An Introduction to Biometric Recognition, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 14, No. 1, pp. 4-20, Jan. 2004
[4] A.H. CHOI, C.N. TRAN – Hand Vascular Pattern Technology, In A.K. Jain, P. Flynn, and A.A. Ross (Eds.), “Handbook of Biometrics”, pp. 253-270, Springer, New York, NY, 2008
[5] C. WILSON – Vein Pattern Recognition: A Privacy-Enhancing Biometric, CRC Press, Boca Raton, FL, 2010
[6] A. EICHMANN, L. YUAN, D. MOYON, F. LENOBLE, L. PARDANAUD, C. BRÉANT – Vascular Development: From Precursor Cells to Branched Arterial and Venous Networks, International Journal of Developmental Biology, Vol. 49, No. 2-3, pp. 259-267, 2005
[7] A. NADORT – The Hand Vein Pattern Used as a Biometric Feature, Master’s Thesis, Free University, Amsterdam, The Netherlands, 2007
[8] C. PETITIMBERT, M. DISTLER, N.G. MYRTUE, S.N. JENSEN – Biometric Identification Using Hand Vein Patterns, Student Project, Aalborg University, Denmark, 2011
[9] Color Film Negative Makes Visible Light Blocking Filter,
[10] Y. ZHAO, M.-Y. SHENG – Acquisition and Preprocessing of Hand Vein Image, Proc. of the International Conference on Multimedia Technology, ICMT 2011, pp. 5727-5729, Hangzhou, China, Jul. 26-28, 2011
[11] K. KAUFMANN – CMOS Technology for Scientific Imaging, Feb. 11, 2011,
[12] S.K. IM, H.S. CHOI, S.-W. KIM – A Direction-Based Vascular Pattern Extraction Algorithm for Hand Vascular Pattern Verification, ETRI Journal, Vol. 25, No. 2, pp. 101-108, Apr. 2003
[13] L. LAM, S.-W. LEE, C.Y. SUEN – Thinning Methodologies: A Comprehensive Survey, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 14, No. 9, pp. 869-885, Sep. 1992
[14] Emgu CV,
[15] AForge.NET,
[16] A. KUMAR, K.V. PRATHYUSHA – Personal Authentication Using Hand Vein Triangulation and Knuckle Shape, IEEE Transactions on Image Processing, Vol. 18, No. 9, pp. 2127-2136, Sep. 2009
[17] L. WANG, G. LEEDHAM – A Thermal Hand Vein Pattern Verification System, In S. Singh, M. Singh, C. Apte, and P. Perner (Eds.), “Pattern Recognition and Image Analysis: Third International Conference on Advances in Pattern Recognition, ICAPR 2005, Bath, UK, August 22-25, 2005, Proceedings, Part II”, pp. 58-65, Springer-Verlag, Berlin, Germany, 2005