Verification of people based on palm vein with the ROI automatic appointment

• Autorzy: Smorawa D.

Identyfikatory

DOI

10.17512/jamcm.2016.3.12

• Języki publikacji: EN

Abstrakty

EN

In the paper, the new approach to identification and verification of people based on the palm vein pattern will be presented. To create the feature vector, palm vein shape geometric arrangement will be applied. For detailed features will be considered similarly to minutiae which was applied in finger lines analysis in vein endings and bifurcation. The methods of vein location on the inner hand, methods of minutiae location, and features coding will be discussed in detail. To extract specific features a two-dimension density function will be used. The method to determine minutiae-vein bifurcation and endings will be presented.

Słowa kluczowe

EN

biometric system; recognition; palm vein

PL

system biometryczny; identyfikacja; naczynia krwionośne dłoni

• Wydawca: Wydawnictwo Politechniki Częstochowskiej
• Czasopismo: Journal of Applied Mathematics and Computational Mechanics
• Rocznik: 2016
• Tom: Vol. 15, nr 3
• Strony: 123--133
• Opis fizyczny: Bibliogr. 17 poz., rys., tab.

Twórcy

autor

Smorawa D.

• Institute of Computer and Information Sciences, Czestochowa University of Technology Częstochowa, Poland

Bibliografia

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• [6] Kubanek M., Smorawa D., Adrjanowicz L., Users verification based on palm-prints and hand geometry with hidden markov models, Lecture Notes in Artificial Intelligence 2013, 7895, 1, 275-285.
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• [12] Sonal S-A., Dhiraj P., Pallavi D., Yogesh H-D., Hardware implementation of palm vein biometric modality for access control in multilayered security system, Procedia Computer Science 2015, 58, 492-498.
• [13] Badrinath G.S., Gupta P., A Novel representation of palm-print for recognition, Lecture Notes in Computer Science 2011, 6493, 2, 321-333.
• [14] Tee C., Teoh Beng Jin A., Goh Kah Ong M., Ngo Chek Ling D., An automated palmprint recognition system, Image an Vision Computing 2005, 23, 5, 501-515.
• [15] Goh Kah Ong M., Tee C., Teoh Beng Jin A., Touch-less palm print biometric system, Image and Vision Computing 2008, 26, 1551-1560.
• [16] Lee Y.P., Palm vein recognition based on a modifield (2D)2LDA, Signal, Image and Video Processing 2015, 9, 1, 229-242.
• [17] Smorawa D., Kubanek M., Biometric systms based on palm vein patterns, Journal of Telecommunications and Information Technology 2015, 2, 18-22.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.