Research on the License Plate Recognition Based on Image Processing

In order to enhance the effects of license plate recognition in intellectual transport domain, this article carries out positioning, partitioning and characteristics extracting on license plate images that have been collected, so as to realize the function of license plate character recognizing. In order to boost the contrast on a license plate and to reduce noises, methods of gray degree reinforcing and filtering treating are adopted to carry out gray degree transformation, in order to accurately position the location of license plate characters, adopt Ostu algorithm to work out global threshold value, extract image edges, and make a second positioning on the license plate with projection method, thus a binary license plate image can be acquired, partition characters according to peak-group characteristics of vertical projecting figures, and adopt improved template-matching algorithm to realize accurate and efficient license plate recognizing. The research findings of this article have important theoretical values and practical application significance.