Peak position recognizing characters in Saudi license plates

In this paper character recognition in Saudi Automobile License Plates is described. Due to special properties of Saudi license plates, simpler procedures as compared to the ones used for Lebanese plates have been developed. A limited character set for recognition enables the development of smaller recognition trees. The developed procedure was applied to different characters taken from real license plates and the recognition rate was 100% for characters supported by the algorithm. Uniformly distributed pseudo-random noise was added to simulate error in the image. The algorithm was proven to work even in cases in which the characters were extremely degraded by noise.

[1]  Remus Brad,et al.  License Plate Recognition System , 2002 .

[2]  Honggang Zhang,et al.  Low-Resolution Chinese Character Recognition of Vehicle License Plate Based on ALBP and Gabor Filters , 2009, 2009 Seventh International Conference on Advances in Pattern Recognition.

[3]  E. C. Botha,et al.  Optimization of vehicle licence plate segmentation and symbol recognition , 2001 .

[4]  fang Lv,et al.  Image extraction and segment arithmetic of License Plate Recognition , 2009, 2009 2nd International Conference on Power Electronics and Intelligent Transportation System (PEITS).

[5]  Muhammad Sarfraz,et al.  Saudi Arabian license plate recognition system , 2003, 2003 International Conference on Geometric Modeling and Graphics, 2003. Proceedings.

[6]  Ergun Erçelebi,et al.  Automatic Vehicle Identification by Plate Recognition , 2007 .

[7]  Bartosz Wawrzyniak,et al.  License plate localization and recognition in camera pictures , 2002 .