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The Scientific World Journal
Volume 2013 (2013), Article ID 135614, 6 pages
http://dx.doi.org/10.1155/2013/135614
Research Article

Design of an Efficient Real-Time Algorithm Using Reduced Feature Dimension for Recognition of Speed Limit Signs

1Department of Electronic Engineering, Sogang University, Seoul 121-742, Republic of Korea
2Samsung Techwin R&D Center, Security Solution Division, 701 Sampyeong-dong, Bundang-gu, Seongnam-si, Gyeonggi 463-400, Republic of Korea

Received 28 August 2013; Accepted 1 October 2013

Academic Editors: P. Daponte, M. Nappi, and N. Nishchal

Copyright © 2013 Hanmin Cho 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. R. Bishop, “A survey of intelligent vehicle applications worldwide,” in Proceeding of the Intelligent Vehicles Symposium, pp. 25–30, 2000.
  2. R. Duda, P. Hart, and D. Stork, Pattern Classification, Wiley-Interscience, NewYork, NY, USA, 2nd edition, 2001.
  3. C. M. Bishop, Neural Networks for Pattern Recognition, Oxford University Press, Oxford, UK, 1995.
  4. K. Fukunaga, Introduction to Statistical Pattern Recognition, Academic Press, New York, NY, USA, 2nd edition, 1990.
  5. S. Ji and J. Ye, “Generalized linear discriminant analysis: a unified framework and efficient model selection,” IEEE Transactions on Neural Networks, vol. 19, no. 10, pp. 1768–1782, 2008. View at Publisher · View at Google Scholar · View at Scopus
  6. R. Huang, Q. Liu, H. Lu, and S. Ma, “Solving the small sample size problem of LDA,” in Proceedings of the 16th International Conference on Pattern Recognition, vol. 3, pp. 29–32, 2002.
  7. J. Li, B. Zhao, and H. Zhang, “Face recognition based on PCA and LDA combination feature extraction,” in Proceedings of the 1st International Conference on Information Science and Engineering (ICISE '09), pp. 1240–1243, December 2009. View at Publisher · View at Google Scholar · View at Scopus
  8. P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman, “Eigenfaces vs. fisherfaces: recognition using class specific linear projection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 711–720, 1997. View at Publisher · View at Google Scholar · View at Scopus
  9. H. Li, T. Jiang, and K. Zhang, “Efficient and robust feature extraction by maximum margin criterion,” in Proceedings of the Conference on Neural Information Processing Systems (NIPS '03), pp. 97–104, 2003.
  10. L. F. Chen, H. Y. M. Liao, M. T. Ko, J. C. Lin, and G. J. Yu, “New LDA-based face recognition system which can solve the small sample size problem,” Pattern Recognition, vol. 33, no. 10, pp. 1713–1726, 2000. View at Publisher · View at Google Scholar · View at Scopus
  11. H. Yu and J. Yang, “A direct LDA algorithm for high-dimensional data with application to face recognition,” Pattern Recognition, vol. 34, no. 10, pp. 2067–2070, 2001. View at Publisher · View at Google Scholar
  12. J. Yang, Y. Yu, and W. Kunz, “An efficient LDA algorithm for face recognition,” in Proceedings of the 6th International Conference on Control, Automation, Robotics and Vision, 2000.
  13. X. Wu, J. Kittler, J. Yang, K. Messer, and S. Wang, “A new direct LDA (D-LDA) algorithm for feature extraction in face recognition,” in Proceedings of the 17th International Conference on Pattern Recognition (ICPR '04), pp. 545–548, August 2004. View at Publisher · View at Google Scholar · View at Scopus
  14. C. Bahlmann, Y. Zhu, V. Ramesh, M. Pellkofer, and T. Koehler, “A system for traffic sign detection, tracking, and recognition using color, shape, and motion information,” in Proceedings of the IEEE Intelligent Vehicles Symposium, pp. 255–260, June 2005. View at Publisher · View at Google Scholar · View at Scopus
  15. T. Zhang and C. Suen, “A fast parallel algorithm for thinning digital patterns,” Communications of the ACM, vol. 27, no. 3, pp. 236–239, 1984. View at Publisher · View at Google Scholar · View at Scopus
  16. D. Slawecki and W. Li, “DCT/IDCT processor design for high data rate image coding,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 2, no. 2, pp. 135–146, 1992. View at Publisher · View at Google Scholar · View at Scopus
  17. E. Alpaydin, Introduction to Machine Learning, MIT Press, Cambridge, Mass, USA, 2nd edition, 2004.