Knowledge Commons of Institute of Automation,CAS
License Plate Recognition Using MSER and HOG Based on ELM | |
Gou C(苟超); Wang KF(王坤峰); Zhongdong Yu; Haitao Xie | |
2014 | |
会议名称 | IEEE International Conference on Service Operations and Logistics, and Informatics |
会议日期 | 2014 |
会议地点 | Qingdao |
摘要 | In this paper, an effective method for automatic license plate recognition (ALPR) is proposed, on the basis of extreme learning machine (ELM). Firstly, morphological TopHat filtering operator is applied to do the image pre-processing. Then candidate character regions are extracted by means of maximally stable extremal region (MSER) detector. Thirdly, most of the noise character regions are removed according to the geometrical relationship of characters in standard license plates. Finally, the histograms of oriented gradients (HOG) features are extracted from each character of every plate detected and the characters are recognized by the classifier trained through the ELM. Experimental evaluation shows that our approach significantly performs well in the ALPR systems. |
收录类别 | EI |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/14756 |
专题 | 多模态人工智能系统全国重点实验室_平行智能技术与系统团队 |
推荐引用方式 GB/T 7714 | Gou C,Wang KF,Zhongdong Yu,et al. License Plate Recognition Using MSER and HOG Based on ELM[C],2014. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
gouc_SOLI_2014_Licen(1091KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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