Thai License Plate Recognition System From a Video Stream

Main Article Content

Chomtip Pornpanomchai
Nuchakarn Anawatmongkon

Abstract

The objective of this project was to develop a computer system which is automatically capable of localization, segmentation and recognition of a Thai license plate from a video file. The system was called “Thai license plate recognition system” or “TLPRS”. The TLPRS consisted of 5 modules, which were 1) video image acquisition, 2) license plate localization, 3) character segmentation, 4) character recognition, and 5) result presentation. The experiment was conducted on video files and localized car license platesfrom video frames in every second. After that the system segmented each character and recognized it. The experiment was conducted on video files with total length of 2.5 hours, which consisted of 497 car images. Based on the experimental results, the precision rate of license plate localization was 91.95 percent, while the character segmentation rate was 64.19 percent and the character recognition rate was 93.26 percent.

Downloads

Download data is not yet available.

Article Details

How to Cite
Pornpanomchai, C., & Anawatmongkon, N. (2014). Thai License Plate Recognition System From a Video Stream. Science, Engineering and Health Studies, 8(2), 40–50. https://doi.org/10.14456/sustj.2014.9
Section
Research Articles

References

Akoum, A., Daya, B., and Chauvet, P., (2010). Two neural networks for license number plates recognition. Journal of Theoretical and Applied Information Technology, 12(1/2): 25-32.

Babu, G. S. and Reddy, K. C. S. (2013). Automatic license plate recognition system. Journal of Engineering Research and Applications, 3: 870-876.

Badr, A., Abdelwahab, M. M., Thabet, A. M., and Abdelsadek, A. M. (2011). Automatic number plate recognition system Annals of the University of Graiova, Mathematics and Computer Science Series, 38(1): 62-71.

Dandu, B. R. and Chopra, A. (2012). Vehicular number plate recognition using edge detection and characteristic analysis of national number plates. Journal of Computational Engineering Research, 2: 795-799.

Duangphasug, P. and Thammano, A. (2006). Thai vehicle license plate recognition using the hierarchical cross-correlation ARTMAP. In Proceeding of International IEEE Conference of Intelligent System, 652-655, London.

Kim, S. K., Kim, D. W., and Kim, H. J., (1996). A recognition of vehicle plate using a genetic algorithm-based segmentation. In Proceeding of International Conference on Image Processing, 661-664, Lausanne.

Leelasantitham, A. and Kiattisin, S. (2010). A position-varied plate utilized for a Thai license plate recognition. In Proceeding of the society of instrument and control engineers annual conference: 3303-3307, Taipei, Taiwan.

Li, L. and Guangli, F. (2011). The license plate recognition system based on Fuzzy theory and BP neural network. In Proceeding of International Conference on Intelligent Computation Technology and Automation: 267-271, Guangdong, China.

Mai, V. D., Miao, D. and Wang R. (2013). Vietnam license plate recognition system based on edge detection and neural networks. Journal of Information and Computing Science, 8(1): 27-40.

Nejati, M., Pourghassem, H. and Majidi, A. (2013). Iranian license plate character recognition using mixture of MLP experts. In Proceeding of International Conference on Communication System and Network Technologies: 219-223, Gwalior, India.

Olivares, J., Palomares, J. M., Soto, J. M., and Gamez, J. C. (2010). License plate detection based on genetic neural networks, morphological, and active contours. LNAI 6098: 301-310.

Ozbay, S. and Ercelebi E. (2005). Automatic vehicle identification by plate recognition. World Academy of Science, Engineering and Technology, 9: 222-225.

Sa-ngamuang, P., Thamnittasana, C., and Kondo, T., (2007). Thai car license plate recognition using essential-elements-based method. In Proceeding of Asia-Pacific Conference on Communications, 41-44, Bangkok, Thailand.

Shan, B. (2010) License plate character segmentation and recognition based on RBFneural network. In Proceeding of International Workshop on Education Technology and Computer Science: 86-89, Wuhan, China.

Yin, Z. J., Rui, Z. R., Min, L., and Yin, L. (2008). License plate recognition based on genetic algorithm. In Proceeding of International Conference on Computer Science and Software Engineering: 963-968, Hubei, China.