License Plate Character Segmentation Algorithm in Intelligent IoT Visual Label

One of the most important core technologies in intelligent visual Internet of Things is visual labeling technology. It identifies, understands, and classifies the content in a video or image, “tags” it, and displays the contents of the label information corresponding to the identified object. In the intelligent Visual IoT vehicle visual label production process, including access to vehicle images, license plate positioning, license plate correction, character segmentation, character recognition and other processing, and finally identify the license plate number to provide the most important vehicle information for the vehicle visual label. This paper mainly focuses on the research of character segmentation algorithm for intelligent Visual IoT vehicle visual label making and puts forward some better-improved algorithms through the experiment, comparison, and analysis of three character segmentation methods of horizontal projection, template matching, and c-mean clustering analysis. For example, a given type of class center method is used in clustering analysis, and the steps of upper and lower boundary detection are added to template matching and clustering analysis.