Research And Implementation Of Fast License Plate Location Based On OpenCV Application

With the development of social economic,the number of motor vehicles increase rapidly.How to manage road traffic intelligently,suppress road congestion,ensure safe travel and improve the transport efficiency has become a serious problem.License plate recognition is one of the important technologies in intelligent transportation systems.It mainly refers to the recognition of license plates to identify vehicles of identity,including four major components:license plate location,license plate tilt correction,character segmentation and character recognition.License plate location is the key technologies in automatic license plate recognition system.if it cannot find the exact location in the vehicle license plate images,the follow-up work can not be carried.This article uses the theory of image processing to research and analysis the license plate location,license plate image pre-processing and other aspects.In license plate positioning,this paper takes the lack of a single rectangular outline into account,presenting a fast license plate location method which based on prior knowledge,license plate geometry features and image color information.The method transform the RGB color image was into the HSV color space,determine the yellow zone in the HSV color space,and then binary the image which can remove a lot of background interference information.It uses the prior knowledge and morphological features to find the rectangular outline in the preprocessing the image,weeding out the outline which does not meet the requirements of the final.And finally combined the yellow area to locate the plate.When looking silhouette,it made the Canny edge detection and ten threshold binarization in the three channels which can increase the detection efficiency of the plate edges,improving the success rate of contour detection.In the experiment,this paper uses Visual C + + programming design combined with the OpenCV library to process license plate recognition system.For some complex algorithms,it directly uses the optimized OpenCV functions to improve the accuracy of real-time algorithms and the entire system.Experimental results show that the design of the license plate location section of this article has better results and with a certain practicality.