@article{(Open Science Index):https://publications.waset.org/pdf/4283,
	  title     = {Automatic Vehicle Identification by Plate Recognition},
	  author    = {Serkan Ozbay and  Ergun Ercelebi},
	  country	= {},
	  institution	= {},
	  abstract     = {Automatic Vehicle Identification (AVI) has many
applications in traffic systems (highway electronic toll collection, red
light violation enforcement, border and customs checkpoints, etc.).
License Plate Recognition is an effective form of AVI systems. In
this study, a smart and simple algorithm is presented for vehicle-s
license plate recognition system. The proposed algorithm consists of
three major parts: Extraction of plate region, segmentation of
characters and recognition of plate characters. For extracting the
plate region, edge detection algorithms and smearing algorithms are
used. In segmentation part, smearing algorithms, filtering and some
morphological algorithms are used. And finally statistical based
template matching is used for recognition of plate characters. The
performance of the proposed algorithm has been tested on real
images. Based on the experimental results, we noted that our
algorithm shows superior performance in car license plate
recognition.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {1},
	  number    = {9},
	  year      = {2007},
	  pages     = {1418 - 1421},
	  ee        = {https://publications.waset.org/pdf/4283},
	  url   	= {https://publications.waset.org/vol/9},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 9, 2007},
	}