Table of Contents
International Journal of Vehicular Technology
Volume 2013 (2013), Article ID 901524, 13 pages
http://dx.doi.org/10.1155/2013/901524
Research Article

Palm Personal Identification for Vehicular Security with a Mobile Device

1Department of Information and Communication Engineering, Chaoyang University of Technology, Taichung 41349, Taiwan
2Department of Computer Science and Technology, Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen 518055, China

Received 20 October 2012; Revised 15 February 2013; Accepted 1 March 2013

Academic Editor: Cheng-Min Lin

Copyright © 2013 Chih-Yu Hsu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. D. Kumar and Y. Ryu, “A brief introduction of biometrics and fingerprint payment technology,” International Journal of Advanced Science and Technology, vol. 4, pp. 25–38, 2009. View at Google Scholar
  2. A. Kong, D. Zhang, and M. Kamel, “Palmprint identification using feature-level fusion,” Pattern Recognition, vol. 39, no. 3, pp. 478–487, 2006. View at Publisher · View at Google Scholar · View at Scopus
  3. A. Kumar, C. M. Wong, C. Shen, and K. Jain, “Personal verification using palmprint and hand geometry biometric,” in Proceedings of the 4th International Conference on Audio- and Video-Based Biometric Person Authentication (AVBPA '03), pp. 668–678, 2003.
  4. A. Kumar and A. Passi, “Comparison and combination of iris matchers for reliable personal identification,” in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW '08), pp. 1–7, June 2008. View at Publisher · View at Google Scholar · View at Scopus
  5. Y. Zhou and A. Kumar, “Personal identification from iris images using localized Radon transform,” in Proceedings of the 20th International Conference on Pattern Recognition (ICPR '10), pp. 2840–2843, August 2010. View at Publisher · View at Google Scholar · View at Scopus
  6. M. Golfarelli, D. Maio, and D. Maltoni, “On the error-reject trade-off in biometrie verification systems,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 786–796, 1997. View at Google Scholar · View at Scopus
  7. A. Kumar and D. Zhang, “Combining fingerprint, palmprint and hand-shape for user authentication,” in Proceedings of the 18th International Conference on Pattern Recognition (ICPR '06), pp. 549–552, August 2006. View at Publisher · View at Google Scholar · View at Scopus
  8. A. Kumar and D. Zhang, “Personal recognition using hand shape and texture,” IEEE Transactions on Image Processing, vol. 15, no. 8, pp. 2454–2461, 2006. View at Publisher · View at Google Scholar · View at Scopus
  9. Y. Cao, “Biometric Selection Record,” RUN!PC, 2009(188), pp. 44–45.
  10. W. Xiong, K. A. Toh, W. Y. Yau, and X. Jiang, “Model-guided deformable hand shape recognition without positioning aids,” Pattern Recognition, vol. 38, no. 10, pp. 1651–1664, 2005. View at Publisher · View at Google Scholar · View at Scopus
  11. C. C. Han, H. L. Cheng, C. L. Lin, and K. C. Fan, “Personal authentication using palm-print features,” Pattern Recognition, vol. 36, no. 2, pp. 371–381, 2003. View at Publisher · View at Google Scholar · View at Scopus
  12. R. Sanchez-Reillo, C. Sanchez-Avila, and A. Gonzalez-Marcos, “Biometric identification through hand geometry measurements,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 10, pp. 1168–1171, 2000. View at Publisher · View at Google Scholar · View at Scopus
  13. A. K. Jain and N. Duta, “Deformable matching of hand shapes for user verification,” in Proceedings of IEEE International Conference on Image Processing (ICIP '99), pp. 857–861, October 1999. View at Scopus
  14. R. S. Reillo, “Hand gemoetry patten recognition through gaussian mixture modelling,” in Proceedings of the 15th International Conference on Pattern Recognition, vol. 2, pp. 937–940, 2000. View at Publisher · View at Google Scholar
  15. W. Wang, Palm identification based on morphology [M.S. thesis], National Chi Nan University, 2008.
  16. S. Liu, D. He, and X. Liang, “An improved hybrid model for automatic salient region detection,” IEEE Signal Processing Letters, vol. 109, no. 4, pp. 207–210, 2012. View at Publisher · View at Google Scholar
  17. C. H. Su, H. S. Chiu, and T. M. Hsieh, “An efficient image retrieval based on HSV color space,” in Proceedings of the International Conference on Electrical and Control Engineering (ICECE '11), pp. 5746–5749, September 2011.
  18. S. Miu, Digital Image Processing, Princeton International Co. Ltd, 2006.
  19. L. Yucheng and L. Yubin, “An algorithm of image segmentation based on fuzzy mathematical morphology,” in Proceedings of the International Forum on Information Technology and Applications (IFITA '09), vol. 2, pp. 517–520, May 2009. View at Publisher · View at Google Scholar · View at Scopus
  20. Edge Detection, http://processing.org/learning/topics/edgedetection.html.
  21. J. Fauvel and J. V. Maanen, History in Mathematics Educatio, Kluwer Academic Publishers, 2000.
  22. A. McAndrew, Introduction to Digital Image Processing with Matlab, Thomson/Course Technology, 2004.
  23. Projective Morphology, http://www.zwbk.org/zh-tw/Lemma_Show/68316.aspx.