License Plate Recognition System Based On OpenCV

License plate recognition system as an important part of intelligent traffic management system has attracted more and more people's attention, and at the same time, it is also a hot research topic of computer vision, pattern recognition and image processing technology in the field of intelligent traffic management.This paper has conducted the thorough research through reading a large number of literatures, combined with previous work and research results. Firstly, the main work of License plate localization algorithm is image segmentation, extracting all possible region of license plate, then using support vector machines for all segmented image regions for training classification and returning a valid license plate region by predicting function. Next, the main work of License plate recognition algorithm is character segmentation and character recognition, by using OCR algorithm to detect each character and extract them from the plate region, then using the artificial neural network to train and recognize all the characters.In this system, using the VS2010 as the development tools, combined with the C language and OpenCV library functions to program the License plate recognition system, completed the work of license plate location and recognition, improved the accuracy of the license plate recognition system.