PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Contactless person identification based on double-sided 3D scan of hand geometry

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents person identification algorithm based on 3D hand geometry. The algorithm comprises the following phases of 3D hand scan processing: segmentation, feature extraction and comparison, which the authors explain in detail in the paper. The authors present results of algorithm performance tested on publicly available DMCSv1 database which contains 1400 samples of 3D hand scans of left and right hand acquired from 35 individuals. Obtained values of equal error rate are 16% for the left hand scans, 17% for the right hand scan sand the values of rank-1 accuracy are 85% and 82% for the left and right hand scans, respectively.
Twórcy
  • Department of Microelectronics and Computer Science, Lodz University of Technology (address: Wólczańska 221/223, 90-924 Łódź
  • Department of Microelectronics and Computer Science, Lodz University of Technology (address: Wólczańska 221/223, 90-924 Łódź
  • Department of Microelectronics and Computer Science, Lodz University of Technology (address: Wólczańska 221/223, 90-924 Łódź
  • Department of Microelectronics and Computer Science, Lodz University of Technology (address: Wólczańska 221/223, 90-924 Łódź
Bibliografia
  • [1] A. Ross, “An introduction to multibiometrics,” in2007 15th European Signal Processing Conference, Sept 2007, pp. 20-24.
  • [2] V. Kanhangad, A. Kumar, and D. Zhang, “A unified framework for con-tactless hand verification, ”IEEE Transactions on Information Forensics and Security, vol. 6, no. 3, pp. 1014-1027, Sept 2011.
  • [3] Department of Microelectronics and Computer Science, “Multimodal biometric system for contactless persons identification,” 2015. [Online].Available: http://www.biometrics.dmcs.pl/en/projects/mbs
  • [4] W. Sankowski, P. S. Nowak, and P. Krotewicz, “Multimodal biometric database dmcsv1 of 3d face and hand scans,” in Mixed Design of Integrated Circuits Systems (MIXDES), 2015 22nd International Conference, June 2015, pp. 93-97.
  • [5] V. Kanhangad, A. Kumar, and D. Zhang, “Combining 2d and 3d hand geometry features for biometric verification,” in2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Work-shops, June 2009, pp. 39-44.
  • [6] J. C. Briceno, C. M. Travieso, J. B. Alonso, and M. A. Ferrer, “Biometric identification based on hand-shape features using a hmm kernel,” in Hand-Based Biometrics (ICHB), 2011 International Conference on, Nov2011, pp. 1-6.
  • [7] G. Amayeh, G. Bebis, and M. Hussain, “A comparative study of hand recognition systems,” in Emerging Techniques and Challenges for Hand-Based Biometrics (ETCHB), 2010 International Workshop on, Aug 2010, pp. 1-6.
  • [8] V. Kanhangad, A. Kumar, and D. Zhang, “Contactless and pose in variant biometric identification using hand surface, ”IEEE Transactions on Image Processing, vol. 20, no. 5, pp. 1415-1424, May 2011.
  • [9] V. Kanhangad, A. Kumar, and D. Zhang, “Human hand identification with 3d hand pose variations,” in2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, June2010, pp. 17-21.
  • [10] S. Malassiotis, N. Aifanti, and M. G. Strintzis, “Personal authentication using 3-d finger geometry, ”IEEE Transactions on Information Forensics and Security, vol. 1, no. 1, pp. 12-21, March 2006.
  • [11] A. Kumar, “Incorporating cohort information for reliable palm print authentication,” in Computer Vision, Graphics Image Processing, 2008.ICVGIP ’08. Sixth Indian Conference on, Dec 2008, pp. 583-590.
  • [12] A. Morales, M. A. Ferrer, F. Dıaz, J. B. Alonso, and C. M. Travieso,“Contact-free hand biometric system for real environments,” in Signal Processing Conference, 2008 16th European, Aug 2008, pp. 1-5.
  • [13] S. Suzuki and K. Abe, “Topological structural analysis of digitized binary images by border following, ”Computer Vision, Graphics, and Image Processing, vol. 30, pp. 32-46, 1985.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3f1e3adc-5d3e-4158-a55f-9dc9aeb38e17
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.