MOVING VEHICLE LICENSE PLATE RECOGNITION BASED ON INTEGRATED MULTI-CLASSIFIER

摘要：

During the process of moving vehicle license plate recognition the sequential images are usually degraded. It is often resulted from movement and the influence of lacking illumination and smut. So it is difficult to recognize the number of vehicles license plate correctly with common classifiers. A new integrated classifier based on multi-feature and multi-structure is proposed in the paper for recognition of moving vehicles license plates. By employing the new classifier, the rate of correct recognition of license plate exceeded 94％ in experiments.

作者: He Tong-neng Chen De-fu Jia Zhi-yong

作者单位: Department of Information Engineering, Zhejiang University of Technology, Hangzhou, 310014,China

会议类型: 国际会议

会议名称: 5th International Conference on e-Engineering & Digital Enterprise Technology(第5届e工程及数字企业国际学术会议)

会议地点: 贵阳

会议语种:英文

页码: 293-295

在线出版日期: 2006-08-16（万方平台首次上网日期，不代表论文的发表时间）