A Vehicle License Plate Localization Method using Color Barycenters Hexagon Model

摘要：

Detecting and extracting the region of a license plate is the challenging first step in the vehicle license plate recognition system. In this paper, we propose a new approach for vehicle license plate localization using a Color Barycenters Hexagon (CBH) model. In CBH model, full color images are calculated the color barycenters and get the barycenters region, then automatic select the idea threshold curves to separate the Region of Interest (ROI) of barycenters aiming to localize the region of the vehicle license plate. Experimental results demonstrate that our method is effective, has strong practicability. Even if the practically images have many noise, our method can ideally localize vehicle license plate on various scene images when source image with suitably thresholding and operations.

关键词： image processing vehicle license plate localization Color Barycenters Hexagon model threshold

作者: Xiaolei Wan Jingbo Liu Jin Liu

作者单位: Nanyang Institute of Technology, Nanyang, 473000, China School of Electrical Engineering, Southwest Jiaotong University, Chengdu, 610031, China School of Information Science and Technology, Southwest Jiaotong University, Chengdu, 610031,China

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 523-527

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）