Research On The Fault-tolerant Topology Based On The Theory Of Scale-free In Wireless Sensor Networks

License plate recognition technology is one of the important parts of modern intelligent transportation system, whose application is very wide. It is based on the technology of digital image processing, pattern recognition, computer vision. By analyzing the image or video sequence captured on camera, it gives the car a unique license plate number, thus completing the identification process.Firstly, by analyzing the difficulties of license plate recognition technology and selecting software platform and programming language, then open source computer vision library Open CV Visual C++ which is used in license plate location, character segmentation and static image recognition problem.Secondly, complete the functional design of license plate recognition system, which is divided into license plate location, license plate character segmentation and license plate character recognition. License plate location will be finished on static image grayscale transformation, binarization and morphology changes and horizontal and vertical projection algorithm. It contains five positioning methods, which is texture feature.Furthermore,edge detection, wavelet analysis, image color and mathematical form. With Hough transform and character refinement, license plate character segmentation algorithm will be completeFinally, by using computer vision library Open CV license plate recognition system, complete the design verification of three parts, and test on preprocessing of the system, license plate location and skew correction, character segmentation and recognition. The system runs stably, which verifies the algorithm and design.