Real Time License Plate Recognition at the Time of Red Light Violation

摘要：

In this paper, a real time and robust algorithm for license plate recognition at the time of red light violation is presented. The plate location algorithm is based on morphological and image projection technology. At the character segmentation stage, along with the prior knowledge the region growing algorithm is adopted. Then, at the recognition stage, a reverse logical artificial neural network (RLANN) along with features mapping for some especial characters is employed. The proposed algorithm is tested and the results show its outperforms nee over the state-of-art methods for recognizing license plate.

关键词： edge detection morphological operation region growing reverse logic artificial neural network license plate

作者: Lan Hai Gyanendra Shrestha

作者单位: College of Automation Harbin Engineering University Harbin, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 243-247

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）