Research on License Plate Recognition Method Based on HALCON

With the rapid development and continuous improvement of image processing technology, the intelligent management of traffic management system for vehicles has accelerated the speed of road safety information, in which the car license plate as the identification of vehicle identity, the identification of its character information is the key to the license plate recognition system. In order to solve the problem of the traditional license plate recognition algorithm such as long development period, this study adopts the HALCON as a programming platform, the acquisition of image preprocessing to enhance image contrast, through the affine transformation to complete correction of tilt of the image, and at the completion of the design after character segmentation OCR based on neural network classifier to complete accurate recognition of Chinese characters, letters and Numbers. The experiment shows that the system has the ability to adapt to the environment and can recognize the license plate information efficiently and accurately.