PALMPRINT RECOGNITION BASED ON REGIONS SELECTION

Salma Ben Jemaa, Mohamed Hammami

2011

Abstract

Palmprint recognition, as a reliable personal identity method, has been received increasing attention and become an area of intense research during recent years. In this paper, we propose a generic biometric system that can be adopted with or without contact depending of the capture system to ensure public security based on identification with palmprint. This system is based on a new global approach which is to focus only on areas of the image having the most discriminating features for recognition. Experimental results have been undertaken on two large databases, namely,“CASIA-Palmprint” and “PolyU-Palmprint” show promising result and demonstrate the effectiveness of the proposed approach.

References

  1. Ahonen, T., Hadid, A., and Pietikainen, M. (2004). Face recognition with local binary patterns. In Proceedings of the European Conference on Computer Vision(ECCV), pages 469-481.
  2. CASIA-Palmprint-Database (2003). Casia palmprint database. http://www.cbsr.ia.ac.cn/english/ Palmprint%20Databases.asp.
  3. Chen, J., Zhang, C., and Rong, G. (2001). Palmprint recognition using crease. In Proceeding International Conference on Image Process, volume 3, pages 234 - 237, Thessaloniki , Greece.
  4. Doublet, J., Lepetit, O., and Revenu, M. (2007). Contact less palmprint authentication using circular gabor filter and approximated string matching. In Signal and Image Processing(SIP), volume 3, pages 495- 500, Honolulu,United States.
  5. Duta, D., Jain, A. K., and Mardia, K. V. (2002). Matching of palmprints. Pattern Recognition Letters(PRL), 23(4):477-485.
  6. Goh, M. K., Connie, T., and Teoh, A. B. (2008). Touchless palm print biometrics: Novel design and implementation. Image and Vision Computing(IVC), 26(12):1551-1560.
  7. . C. and Srinath, D. M. (2002). Invariant character recognition with zernike and orthogonal fourier-mellin moments. Pattern Recognition(PR), 35(1):143-154.
  8. Konukoglu, E., Yoruk, E., Darbon, J., and Sankur, B. (2006). Shape-based hand recognition. IEEE Transactions on Image Processing, 15(7):1803-1815.
  9. Li, W., Zhang, D., and Xu, Z. (2002). Palmprint identification by fourier transform. International Journal of Pattern Recognition and Artificial Intelligence(IJPRAI), 16(4):417-432.
  10. Lu, G., Zhang, D., and Wang, K. (2003). Palmprint recognition using eigenpalm features. Pattern Recognition Letters(PRL), 24(9-10):1463-1467.
  11. Ojala, T., Pietikainen, M., and Maenpaa, T. (2002). Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Transaction on Pattern Analysis and Machine Intelligence(PAMI), 24(7):971-987.
  12. Ojala, T., Pietikinen, M., and Harwook, D. (1996). A comparative study of texture measures with classification based on feature distribution. Pattern Recognition(PR), 29(1):51-59.
  13. Otsu, N. (1979). A threshold selection method from graylevel histograms. In IEEE Transactions on SMC (Systems, Man, and Cybernetics), volume 9, pages 62-66.
  14. PolyU-Palmprint-Database (2005). Polyu palmprint database. http://www4.comp.polyu.edu.hk/ ~biometrics/.
  15. Pudil, P., Novovicova, J., and Kittler, J. (1994). Floating search methods in feature selection. Pattern Recognition Letters(PRL), 15(11):1119-1125.
  16. Shapiro, L. and Stockman, G. (2001). Computer Vision. Prentice Hall.
  17. Tana, X. and Songcan, C. (2006). Face recognition from a single image per person: A survey. Pattern Recognition(PR), 39(9):1725-1745.
  18. Wang, X., Gong, H., Zhang, H., Li, B., and Zhuang, Z. (2006). Palmprint identification using boosting local binary pattern. In Proceedings of the 18th International Conference on Pattern Recognition(ICPR), volume 3, pages 503-506.
  19. Wu, X., Zhang, D., and Wang, K. (2003). Fisherpalms based palmprint recognition. Pattern Recognition Letters(PRL), 24(15):2829-2838.
  20. Wu, X., Zhang, D., Wang, K., and Huang, B. (2004). Palmprint classification using principle lines. Pattern Recognition(PR), 37(10):1987-1998.
  21. Zhang, D., Kong, W., You, J., and Wong, M. (2003). Online palmprint identification. IEEE Transaction on Pattern Analysis and Machine Intelligence(PAMI), 25(9):1041-1050.
Download


Paper Citation


in Harvard Style

Ben Jemaa S. and Hammami M. (2011). PALMPRINT RECOGNITION BASED ON REGIONS SELECTION . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 320-325. DOI: 10.5220/0003317803200325


in Bibtex Style

@conference{visapp11,
author={Salma Ben Jemaa and Mohamed Hammami},
title={PALMPRINT RECOGNITION BASED ON REGIONS SELECTION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={320-325},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003317803200325},
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 - PALMPRINT RECOGNITION BASED ON REGIONS SELECTION
SN - 978-989-8425-47-8
AU - Ben Jemaa S.
AU - Hammami M.
PY - 2011
SP - 320
EP - 325
DO - 10.5220/0003317803200325