Generally speaking, the image segmentation method adopted in vehicle license plate recognition systems at present is not efficient due to its large search space.
因搜索空间太大，现有的车牌号码识别系统所采用的图象分割方法一般说来效率较低。
IT is well known that locating vehicle license plate is a very difficult problem in the fields of image segmentation and ITS (Intelligent Transprotation System).
汽车牌定位是一个公认的较难解决的图象侵害问题。
Vehicle license plate recognition system consists of 4 parts, which are license plate image preprocessing, license plate localization, character segmentation and character recognition.
车牌识别系统主要包括车牌图像预处理、车牌定位、字符分割和字符识别四大部分。
Research and Implementation of Algorithms for Vehicle License Plate Positioning & Characters Segmentation Based on Image Analysis;
提出了基于参数自校正纹理分析的牌照定位方法，提高了车牌定位的精度。
Research and Implementation of Algorithms for Vehicle License Plate Positioning & Characters Segmentation Based on Image Analysis;
提出了基于参数自校正纹理分析的牌照定位方法，提高了车牌定位的精度。
应用推荐