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Ryszard S. Choras



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Ryszard S. Choras


WSEAS Transactions on Information Science and Applications


Print ISSN: 1790-0832
E-ISSN: 2224-3402

Volume 15, 2018

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.



Recognition of Vein Patterns for Biometric Identification based on Gabor Filters

AUTHORS: Ryszard S. Choras

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ABSTRACT: Vein recognition is one of many available methods used for identification. Veins possess several properties that make a good biometric feature for personal identification: 1) they are difficult to damage and modify; 2) they are difficult to simulate using a fake template; and 3) vein information can represent the liveness of person. We present the results of the recognition of veins patterns that show the suitability of the method for biometric identification purposes.

KEYWORDS: Vein biometrics, feature extraction, Gabor filter

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[7] Kang, B.J., et al,. Multimodal biometric method based on vein and geometry of a single finger. IET Computer Vision, 2010, 4.3, 209-217.

[8] Kirbas, C., Quek, K. Vessel extraction techniques and algorithm: a survey. Proceedings of the 3rd IEEE Symposium on BioInfomratics and Bioengineering, 2003.

[9] Kono, M., et al,. Near-infrared finger vein patterns for personal identification. Applied Optics, 2002, 41(35), 7429-7436.

[10] Kumar, A., Prathyusha, K. Venkata., Personal Authentication using Hand Vein Triangulation and Knuckle Shape. IEEE Transactions on Image Processing, 2009.

[11] Pierre-Olivier, L., Christophe, R., Bernadette, D. Palm vein verification system based on SIFT matching. Proceedings of Third International Conference ICB, 2009, 1290-1298.

[12] Tanaka, T., Kubo, N. Biometric authentication by hand vein patterns. Proc. SICE Annual Conference, 2004, 249-253.

[13] Wang, Y., Li, K., Cui, J. Hand-dorsa vein recognition based on partition local binary pattern. IEEE 10th International Conference on Signal Processing (ICSP), 2010, 1671-1674.

WSEAS Transactions on Information Science and Applications, ISSN / E-ISSN: 1790-0832 / 2224-3402, Volume 15, 2018, Art. #14, pp. 124-128


Copyright © 2017 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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