Dynamic programming-based method for extraction of license plate numbers of speeding vehicles on the highway

International Journal of Automotive Technology

Volumn 10, Issue 2, 2009, Pages 205-210

  Kang, D J ^a  

^a Pusan National University   (South Korea)

Author keywords

Dynamic programming; Image labeling; License plate number extraction; Multiple thresholds

Indexed keywords

EID: 63849212159     PISSN: 12299138     EISSN: None     Source Type: Journal    
DOI: 10.1007/s12239-009-0024-2     Document Type: Article

References (19)

1. S. L. Chang L. S. Chen Y. C. Chung S. W. Chen 2004 Automatic license plate recognition IEEE Trans. Intelligent Transportation Systems 5 1 42 53
2. Chen, X., Yuille, A. L. (2004). Detecting and reading text in natural scenes. Proc. Int. Conf. Computer Vision and Pattern Recognition, 366-373.
3. Civica Company, http://www.platescan.com
4. DataWorks Plus Company, http://www.digitalcrimescene.com
5. Dlagnekov, L. (2005). Video-based Car Surveillance: License Plate, Make, and Model Recognition. M. S. Thesis. University of California San Diego.
6. Duda, R. O., Hart, P. E. and Stock, D. G. (2001). Pattern Classification. Wiley-Interscience. New York.
7. Hontani, H. and Koga, T. (2001). Character Extraction Method without Prior Knowledge on Size and Position Information. IEEE Int. Conf. Vehicle Electronics, 67-72.
8. Intel Company, (2007). http://www.intel.com/technology/computing/opencv
9. H. G. Jung Y. H. Lee D. S. Kim P. J. Yoon J. H. Kim 2007 Stereo vision-based forward obstacle detection Int. J. Automotive Technology 8 4 493 504
10. Lee, M. W. and Nevatia, R. (2007). Body part detection for human pose estimation and tracking. Proc. IEEE Workshop on Motion and Video Computing, 23-30.
11. Li, Y., Suen, C. Y. and Cheriet, M. (2005). A threshold selection method based on multiscale and graylevel cooccurrence matrix analysis. Proc. Int. Conf. Document Analysis and Recognition, 575-579.
12. Neapolitan, R. and Naimipour, K. (1998). Foundation of Algorithms Using C++ Pseudocode. Jones and Bartlett. Toronto.
13. J. A. G. Nijhuis M. H. T. Brugge J. P. W. Helmholt L. Pluim R. S. Spaanenburg R. S. Venema M. A. Westenberg 2005 Car license plate recognition with neural networks and fuzzy logic IEEE Int. Conf. Neural Networks 5 2232 2236
14. Nixon, M. and Aguado, A. (2002). Feature Extraction and Image Processing. Elsevier. 69-79.
15. T. H. Park N. Kim 2007 A dynamic programming approach to PCB assembly optimization for surface mounters Int. J. Control, Automation, and Systems 5 2 192 199
16. Sauvola, J., Haapakoski, S., Kauniskangas, H., Seppanen, T. and Pietikainen, M. (1997). A distributed management system for testing document image analysis algorithms. Int. Conf. Document Analysis and Recognition, 989-995.
17. P. Viola M. J. Jones 2004 Robust real-time face detection Int. J. Computer Vision 57 2 137 154
18. Y. Wu F. Lian C. Huang T. Chang 2007 Image processing techniques for lane-related information extraction and multi-vehicle detection in intelligent highway vehicles Int. J. Automotive Technology 8 4 513 520
19. Zhang, H., Jia, W., He, X. and Wu, Q. (2006). Learning-based license plate detection using global and local features. Proc. Int. Conf. Pattern Recognition, 1102-1105.