CORC  > 厦门大学  > 信息技术-已发表论文
A license plate detection algorithm based on deformable part model
Yang, Chenhui ; Wang, Tao ; Yang CH(杨晨晖)
刊名http://dx.doi.org/10.12733/jics20101631
2013-03-20
关键词Supervised learning
英文摘要This paper proposes an algorithm for license plate detection based on deformable part model, as it is difficult to obtain a high accuracy in detecting license plates in images with complex background and loose perspective. We have researched the state-of-the-art object detection method making use of the deformable part model, combined its training method with semi-supervised learning SVM, and introduced the method to the problem of license plate detection. The result shows the validity of the proposed method. ? 2013 Binary Information Press.
语种英语
出版者Binary Information Press
内容类型期刊论文
源URL[http://dspace.xmu.edu.cn/handle/2288/92600]  
专题信息技术-已发表论文
推荐引用方式
GB/T 7714
Yang, Chenhui,Wang, Tao,Yang CH. A license plate detection algorithm based on deformable part model[J]. http://dx.doi.org/10.12733/jics20101631,2013.
APA Yang, Chenhui,Wang, Tao,&杨晨晖.(2013).A license plate detection algorithm based on deformable part model.http://dx.doi.org/10.12733/jics20101631.
MLA Yang, Chenhui,et al."A license plate detection algorithm based on deformable part model".http://dx.doi.org/10.12733/jics20101631 (2013).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace