A New Location Method of ROI for Contactless Palm Vein Recognition

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Abstract:

Palm vein pattern recognition is one of the newest biometric techniques researched today.At present, literatures selecte the center of the palm as the ROI of palm vein recognition. However the vein image in this area is not clear in some peoples palm. In this paper, we proposed a new location method of ROI which takes thenar area as the ROI. In the experiment part, it compares the recognition rate between the new and the traditional ROI in self-established contactless palm vein database. The result shows that this new method has got the recognition rate of 98.9258% and has increased recognition rate 2.0911% compared with the traditional one.

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Advanced Materials Research (Volumes 760-762)

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1398-1401

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Y.B. Zhang, Q. Li, J. You, et al.:J. Lecture Notes in Computer Science. Vol. 4781(2007), p.154.

Google Scholar

[2] CHEN Hai-fen, LU Guang-ming, WANG Rui. A new palm vein matching method based on ICP algorithm[C]. Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human. (2009), p.1207.

DOI: 10.1145/1655925.1656145

Google Scholar

[3] D. Zhang, W. K. Kong, J. You, et al. :J. IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 25(9)(2003), p.1041.

Google Scholar

[4] P.B., K. A. Secure cryptosystem from palm vein biometrics in smart card. 2nd International Conference on Computer and Automation Engineering[C]. (2010), p.653.

DOI: 10.1109/iccae.2010.5451311

Google Scholar

[5] Y. B. Zhou, A KUMAR. Contactless palm vein identification using multiple representations[C]. Fourth IEEE International Conference on Biometrics: Theory Applications and Systems, Washington, DC, USA, (2010), p.1.

DOI: 10.1109/btas.2010.5634470

Google Scholar

[6] Y. Hao, ZH.N. Sun, T.N. Tan, et al. Multispectral palm image fusion or accurate contact-free palmprint recognition[C]. Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on, San Diego, CA, (2008), p.281.

DOI: 10.1109/icip.2008.4711746

Google Scholar

[7] X Q Wu, D P Zhang, K Q Wang. Palmprint Recognition [M]. Beijing: Science Press, (2006), p.9. (In Chinese).

Google Scholar