License plate system is a puter vision and pattern recognition technology in one
of the important application research topic in the field of intelligent transportation.
License plate recognition system based on specific goals of a special puter system, the
system mainly includes three contents: license plate locating, character segmentation
and character recognition. One of the purpose of license plate location is taken from
the auto locate the license plate in the image, so as to facilitate the subsequent work
character segmentation and character recognition. Now monly used methods are:
based on template matching method, based on the characteristics of the method and
neural network, etc.
This design USES based on template matching algorithm and based on artificial
neural network algorithm to locate license plate recognition, the algorithm is only for
blue white license plate segmentation recognition, the algorithm can be directly
applicable in principle to the black white plate,. This algorithm to segment the image
pixel values and template image, thus to avoid the cut out in the process of image
pixel values are not consistent. But black on white background and black text plate,
yellow bottom plate, adjustments need to license plate localization algorithm, and the
image inversion of (0, 1, 1, 0).
