Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The work covers issues related to the design of biometric systems based on the hand vascular pattern. The study includes analysis of various stages of biometric systems design ranging from acquisition, feature extraction and biometric pattern creation for verification methods. The extraction methods based on two-dimensional density function and the extraction of the characteristic points - minutiae are presented. The article features the results of tests carried out on two different bases of blood vessels in a hand.
Słowa kluczowe
Rocznik
Tom
Strony
18--22
Opis fizyczny
Bibliogr. 15 poz., rys., tab.
Twórcy
autor
- Institute of Computer and Information Science, Czestochowa University of Technology, Czestochowa, Poland
autor
- Department of Computer Science, European University of Information Technology and Economics, Warsaw, Poland
Bibliografia
- [1] K. R. Park, “Finger vein recognition by combining global and local features based on SVM", Comput. and Inform., vol. 30, pp. 295-309, 2011.
- [2] A. M. Al-Juboori, W. Bu, X. Wu, and Q. Zhao, “Palm vein verification using multiple features and locality preserving projections", The Scient. World J., vol. 2014, 2014.
- [3] N. Miura, A. Nagasaka, and T. Miyatake, “Extraction of finger vein patterns using maximum curvature points in image profiles", in Proc. IAPR Conf. Machine Vision Appl. IAPR MVA 2005, Tsukuba, Japan, 2005, pp. 1185-1194.
- [4] Y. Zhou et al., “Palm-vein classification based on principal orientation features", PLoS One, vol. 9, no. 11, 2014.
- [5] A. Kumar and K. V. Prathyusha, “Personal authentication using hand vein triangulation and knuckle shape", IEEE Trans. Image Proces., vol. 18, pp. 2127-2136, 2009.
- [6] A. Yuksel, L. Akarun, and B. Sankur, “Hand vein biometry based on geometry and appearance method", Comp. Vision, vol. 5, pp. 398-406, 2011.
- [7] Y. Zhou and A. Kumar, “Human identification using palm-vein images", IEEE Trans. Inform. Forensics Secur., vol. 6, pp. 1259-1274, 2011.
- [8] W. Kasprzak, „Analiza obrazów dłoni na potrzeby biometrii", Zeszyty Naukowe, vol. 15, pp. 200-209, 1998 (in Polish).
- [9] L. Wang, G. Graham, and D. S. Y. Cho, “Minutiae feature analysis for infrared hand vein pattern biometrics", The J. of The Pattern Recogn. Soc., vol. 41, pp. 920-929, 2008.
- [10] Biometrics Ideal Test [Online]. Available: http://biometrics.idealtest.org
- [11] M. Kubanek, D. Smorawa, and L. Adrjanowicz, “Users verification based on palm-prints and hand geometry with Hidden Markov Models", Lecture Notes in Computer Science, vol. 7895, pp. 275-285, 2013.
- [12] L. R. Rabiner, “A tutorial on Hidden Markov Models and selected applications in speech recognition", Proc. of IEEE, vol. 77, no. 2, pp. 257-286, 1989.
- [13] J. C. Lee, “A novel biometric system based on palm vein image", Pattern Recogn. Lett., vol. 33, pp. 1520-1528, 2012.
- [14] C. B. Hsu, S. S. Hao, and J. C. Lee, “Personal authentication through dorsal hand vein patterns", Optical Engineering, vol. 47, 2011.
- [15] K. S. Wu, J. C. Lee, T. M. Lo, K. C. Chang, and C. P. Chang, “A secure palm vein recognition system", The J. Systems and Software, vol. 86, pp. 2870-2876, 2013.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-46fff81c-fc06-4927-96e1-2b4e3122db1c
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