PALM SHAPE COMPARISON FOR PERSON RECOGNITION

Irina Bakina

2011

Abstract

The article presents a new method for palm comparison based on the alignment 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.

References

  1. Bakina, I. and Mestetskiy, L. (2009). Palm comparison in the presence of artifacts (in russian). In Proceedings of the 14th Russian Conference of Mathematical Methods of Pattern Recognition, Suzdal, September 21-26, 2009, pages 301-304.
  2. Boreki, G. and Zimmer, A. (2005). Hand geometry: A new approach for feature extraction. In Proceedings of the 4th IEEE Workshop on Automatic Identification Advanced Technologies, pages 149-154.
  3. Covavisaruch, N., Prateepamornkul, P., Ruchikachorn, P., and Taksaphan, P. (2005). Personal verification and identification using hand geometry. In ECTI Transactions on Computer and Information Technology, volume 1, pages 134-140.
  4. Gonzalez, S., Travieso, C. M., Alonso, J. B., and Ferrer, M. A. (2003). Automatic biometric identification system by hand geometry. In Proceedings of the 37th Annual International Carnahan Conference on Security Technology, pages 281-284.
  5. Jain, A. K. and Duta, N. (1999). Deformable matching of hand shapes for verification. In Proceedings of ICIP 7899, Kobe, Japan, pages 857-861.
  6. Jianxia, W., Wanzhen, Z., Xiaojun, W., and Min, Q. (2005). The feature parameter extraction in palm shape recognition system. In Journal of Communication and Computer, volume 2, pages 25-28.
  7. Mestetskiy, L. (2007). Shape comparison of flexible objects. In VISAPP, volume 1, pages 390-393.
  8. Mestetskiy, L. (2009). Continious morphology of binary images: figures, skeletons, circulars (in Russian). FIZMATLIT, Moscow.
  9. Morales, A., Ferrer, M. A., Diaz, F., Alonso, J. B., and Travieso, C. M. (2008). Contact-free hand biometric system for real environments. In Proceedings of the 16th European Signal Processing Conference (EUSIPCO).
  10. Su, C.-L. (2008). Index, middle, and ring finger extraction and identification by index, middle, and ring finger outlines. In VISAPP, volume 1, pages 518-520.
  11. Theodoridis, S. and Koutroumbas, K. (2003). Recognition. Elsevier, 2nd edition.
  12. Varchol, P. and Levicky, D. (2007). Using of hand geometry in biometric security systems. In Radioengineering, volume 16, pages 82-87.
  13. Wong, A. L. and Shi, P. (2002). Peg-free hand geometry recognition using hierarchical geometry and shape matching. In Proceedings of IAPR International Conference on Machine Vision Applications, pages 281- 284.
  14. Yoruk, E., Konukoglu, E., Sankur, B., and Darbon, J. (2006). Shape-based hand recognition. In Image Processing, IEEE, volume 15(7), pages 1803-1815.
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Paper Citation


in Harvard Style

Bakina I. (2011). PALM SHAPE COMPARISON FOR PERSON RECOGNITION . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 5-11. DOI: 10.5220/0003306100050011


in Bibtex Style

@conference{visapp11,
author={Irina Bakina},
title={PALM SHAPE COMPARISON FOR PERSON RECOGNITION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={5-11},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003306100050011},
isbn={978-989-8425-47-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - PALM SHAPE COMPARISON FOR PERSON RECOGNITION
SN - 978-989-8425-47-8
AU - Bakina I.
PY - 2011
SP - 5
EP - 11
DO - 10.5220/0003306100050011