Abstract

The article presents a new method for palm comparison based on the matching of palm shapes. The proposed approach allows comparison and recognition of palms with sticking fingers. The existing methods do not work correctly in this case, while it frequently appears in real environments (mostly among elderly people). The idea of the proposed method is to model a ”posture” of test palm on reference palm. The form of flexible object is used for palm modeling. This representation provides a convenient tool for applying palm transformations and allows us to perform them in real-time mode. Low resolution webcams can be used for palm image acquisition. The article also introduces the application of person recognition based on the proposed comparison. At the end of the article the problem of improving recognition characteristics of palm is addressed. Particularly, it provides a bimodal approach that employs palm and voice features.

Keywords

Palm shape comparison Flexible object Alignment of palms Person recognition Combination of palm and voice features Bimodal approach 

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References

  1. 1.
    Nash, J.C.: Compact Numerical Methods for Computers: Linear Algebra and Function Minimisation. International Series on Biometrics. Adam Hilger (1990)Google Scholar
  2. 2.
    Theodoridis, S., Koutroumbas, K.: Pattern Recognition, 2nd edn. Elsevier (2003)Google Scholar
  3. 3.
    Ross, A.A., Nandakumar, K., Jain, A.K.: Handbook of multibiometrics. International Series on Biometrics, vol. 6. Springer, Heidelberg (2006)Google Scholar
  4. 4.
    Mestetskiy, L.M.: Continious morphology of binary images: figures, skeletons, circulars. FIZMATLIT, Moscow (2009) (in Russian)Google Scholar
  5. 5.
    Anil, K.J., Duta, N.: Deformable Matching Of Hand Shapes For Verification. In: Proceedings of ICIP 1999, Japan, pp. 857–861 (1999)Google Scholar
  6. 6.
    Wong, A.L.N., Shi, P.: Peg-Free Hand Geometry Recognition Using Hierarchical Geometry and Shape Matching. In: Proceedings of IAPR International Conference on Machine Vision Applications, pp. 281–284 (2002)Google Scholar
  7. 7.
    Gonzalez, S., Travieso, C.M., Alonso, J.B., Ferrer, M.A.: Automatic biometric identification system by hand geometry. In: Proceedings of the 37th Annual International Carnahan Conference on Security Technology, pp. 281–284 (2003)Google Scholar
  8. 8.
    Boreki, G., Zimmer, Z.: Hand Geometry: A New Approach for Feature Extraction. In: Proceedings of the 4th IEEE Workshop on Automatic Identification Advanced Technologies, pp. 149–154 (2005)Google Scholar
  9. 9.
    Jianxia, W., Wanzhen, Z., Xiaojun, W., Min, Q.: The feature parameter extraction in palm shape recognition system. Journal of Communication and Computer 2, 25–28 (2005)Google Scholar
  10. 10.
    Covavisaruch, N., Prateepamornkul, P., Ruchikachorn, P., Taksaphan, P.: Personal Verification and Identification Using Hand Geometry. ECTI Transactions on Computer and Information Technology 1, 134–140 (2005)Google Scholar
  11. 11.
    Yoruk, E., Konukoglu, E., Sankur, B., Darbon, J.: Shape-Based Hand Recognition. IEEE Image Processing 15(7), 1803–1815 (2006)CrossRefGoogle Scholar
  12. 12.
    Mestetskiy, L.M.: Shape Comparison of Flexible Objects. In: VISAPP, vol. 1, pp. 390–393 (2007)Google Scholar
  13. 13.
    Varchol, P., Levicky, D.: Using of Hand Geometry in Biometric Security Systems. Radio-Engineering 16, 82–87 (2007)Google Scholar
  14. 14.
    Su, C.-L.: Index, middle, and ring finger extraction and identification by index, middle, and ring finger outlines. In: Procedeengs of the International Conference on Computer Vision Theory and Applications (VISAPP), vol. 1, pp. 518–520 (2008)Google Scholar
  15. 15.
    Morales, A., Ferrer, M.A., Diaz, F., Alonso, J.B., Travieso, C.M.: Contact-free hand biometric system for real environments. In: EUSIPCO (2008)Google Scholar
  16. 16.
    Bakina, I.: Palm Shape Comparison for Person Recognition. In: Csurka, G., et al. (eds.) VISIGRAPP 2011. CCIS, vol. 274, pp. 157–171. Springer, Heidelberg (2012)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Irina Bakina
    • 1
  1. 1.Moscow State UniversityMoscowRussia

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