License Plate Character Segmentation from Video Images: A Survey

摘要：

License plate character segmentation is a crucial process of license plate recognition. During the process of image acquisition, because of light condition and the change of shooting distance and the diversity of the plates format, the task become very challenging. Therefore, many algorithms are proposed under certain conditions, such as a fixed shooting distance or no illumination change. The purpose of this paper is to classify and assess the technique which has been developed for license plate character segmentation. Execution time, accuracy of segmentation, the robustness of algorithm will be reported. At last, the technique based on the connected component correction is proposed in the thesis. The result manifests that the accuracy of character segmentation could reach 84.4％.

关键词： license plate character segmentation image processing grey-scale processing connected component correction

作者: Wang Yutao Tian Ruixia Ma Ling Yang Gang

作者单位: Centre for Vision, Image and Signal Processing and Multi-phase Flow Measurement, school of Northeast Centre for Vision,Image and Signal Processing, school of Northeastern University,Detection Technolog Centre for Image and Signal Processing and Multi-phase Flow Measurement, school of Northeastern Univ

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 25-30

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）