A Binary Method of License Plate Character Based on Object Space Distribution Feature

摘要：

For the problem of the difficult object-extraction in transition region and noise-effect in binary processes, the vehicle license plate characters binary method based on object space distribution feature is proposed. Considering the spatial distribution of object and background, the method with less false-dismissal and more false-alarm can extract more perfect object shape than conventional method. And then the morphology operation is used to throw away noise-isolated point. Actual vehicle images from traffic station are used to test the performance of different binary methods and the experimental results indicate that our algorithm achieved better binary results than other methods in object shape extraction and noises reduction.

作者: Mei Wang Guang-da Su Sheng-lan Ben

作者单位: Laboratory of Image Processing, Yantai Vocational College, Yantai 264670, China Department of Electronic Engineering, Tsinghua University, Beijing 100084, China

会议类型: 国际会议

会议名称: The Second International Conference on High Performance Computing and Applications(第二届高性能计算及应用国际会议)

会议地点: 上海

会议语种:英文

页码: 404-409

在线出版日期: 2009-08-10（万方平台首次上网日期，不代表论文的发表时间）