Saudi Arabian license plate recognition system

A license plate recognition (LPR) system is one kind of intelligent transport systems and is of considerable interest because of its potential applications to areas such as highway electronic toll collection, traffic monitoring system and so on. This paper proposes an automatic license plate recognition system for Saudi Arabian license plates. The system captures the images of the vehicles with a digital camera. An algorithm for the extraction of license plate has been designed and an algorithm for segmentation of characters is proposed. The performance of the system has been investigated on real images of about 610 vehicles captured under various illumination conditions. Recognition of about 95% shows that the system is quite effective.

[1]  Jean-Michel Morel,et al.  Variational methods in image segmentation , 1995 .

[2]  Hang Joon Kim,et al.  Locating car license plates using neural networks , 1999 .

[3]  Kwang In Kim,et al.  Learning-based approach for license plate recognition , 2000, Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501).

[4]  Hidekata Hontani,et al.  Character extraction method without prior knowledge on size and position information , 2001, IVEC2001. Proceedings of the IEEE International Vehicle Electronics Conference 2001. IVEC 2001 (Cat. No.01EX522).

[5]  John Cowell,et al.  Extracting features from Arabic characters , 2001 .

[6]  N. Garcia,et al.  Automatic car plate detection and recognition through intelligent vision engineering , 1999, Proceedings IEEE 33rd Annual 1999 International Carnahan Conference on Security Technology (Cat. No.99CH36303).

[7]  Fiaz Hussain,et al.  A fast recognition system for isolated arabic characters , 2002, Proceedings Sixth International Conference on Information Visualisation.

[8]  Keiichi Yamada,et al.  Robust license-plate recognition method for passing vehicles under outside environment , 2000, IEEE Trans. Veh. Technol..

[9]  Alvy Ray Smith,et al.  Tint fill , 1979, SIGGRAPH.

[10]  Donald G. Bailey,et al.  Test bed for number plate recognition applications , 2002, Proceedings First IEEE International Workshop on Electronic Design, Test and Applications '2002.

[11]  Mei Yu,et al.  An approach to Korean license plate recognition based on vertical edge matching , 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.